June 2022 International Journal of Innovative Technology and Creative Engineering (ISSN:2045-8711) by Editor IJITCE

INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.12 NO.06 JUN 2022

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UK: Managing Editor International Journal of Innovative Technology and Creative Engineering 1a park lane, Cranford London TW59WA UK

USA: Editor International Journal of Innovative Technology and Creative Engineering Dr. Arumugam Department of Chemistry University of Georgia GA-30602, USA.

India: Editor International Journal of Innovative Technology & Creative Engineering 36/4 12th Avenue, 1st cross St, Vaigai Colony Ashok Nagar Chennai, India 600083 Email: editor@ijitce.co.uk

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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.12 NO.06 JUN 2022

IJITCE PUBLICATION

International Journal of Innovative Technology & Creative Engineering Vol.12 No.06 June 2022

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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.12 NO.06 JUN 2022

Dear Researcher, Greetings! Articles in this issue discusses about ANALYSIS OF E-WALLET APPLICATIONS FOR PRIVACY AND SECURE DATA USING MODERN COMPUTING PARADIGMS.

We look forward many more new technologies in the next month.

Thanks, Editorial Team IJITCE

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Editorial Members Dr. Chee Kyun Ng Ph.D Department of Computer and Communication Systems, Faculty of Engineering,Universiti Putra Malaysia,UPMSerdang, 43400 Selangor,Malaysia. Dr. Simon SEE Ph.D Chief Technologist and Technical Director at Oracle Corporation, Associate Professor (Adjunct) at Nanyang Technological University Professor (Adjunct) at ShangaiJiaotong University, 27 West Coast Rise #08-12,Singapore 127470 Dr. sc.agr. Horst Juergen SCHWARTZ Ph.D, Humboldt-University of Berlin,Faculty of Agriculture and Horticulture,Asternplatz 2a, D-12203 Berlin,Germany Dr. Marco L. BianchiniPh.D Italian National Research Council; IBAF-CNR,Via Salaria km 29.300, 00015 MonterotondoScalo (RM),Italy Dr. NijadKabbara Ph.D Marine Research Centre / Remote Sensing Centre/ National Council for Scientific Research, P. O. Box: 189 Jounieh,Lebanon Dr. Aaron Solomon Ph.D Department of Computer Science, National Chi Nan University,No. 303, University Road,Puli Town, Nantou County 54561,Taiwan Dr. Arthanariee. A. M M.Sc.,M.Phil.,M.S.,Ph.D Director - Bharathidasan School of Computer Applications, Ellispettai, Erode, Tamil Nadu,India Dr. Takaharu KAMEOKA, Ph.D Professor, Laboratory of Food, Environmental & Cultural Informatics Division of Sustainable Resource Sciences, Graduate School of Bioresources,Mie University, 1577 Kurimamachiya-cho, Tsu, Mie, 514-8507, Japan Dr. M. Sivakumar M.C.A.,ITIL.,PRINCE2.,ISTQB.,OCP.,ICP. Ph.D. Technology Architect, Healthcare and Insurance Industry, Chicago, USA Dr. Bulent AcmaPh.D Anadolu University, Department of Economics,Unit of Southeastern Anatolia Project(GAP),26470 Eskisehir,TURKEY Dr. Selvanathan Arumugam Ph.D Research Scientist, Department of Chemistry, University of Georgia, GA-30602,USA. Dr. S.Prasath Ph.D Assistant Professor, School of Computer Science, VET Institute of Arts & Science (Co-Edu) College, Erode, Tamil Nadu, India Dr. P.Periyasamy, M.C.A.,M.Phil.,Ph.D. Associate Professor, Department of Computer Science and Applications, SRM Trichy Arts and Science College, SRM Nagar, Trichy - Chennai Highway, Near Samayapuram, Trichy - 621 105, Mr. V N Prem Anand Secretary, Cyber Society of India

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Review Board Members Dr. Rajaram Venkataraman Chief Executive Officer, Vel Tech TBI || Convener, FICCI TN State Technology Panel || Founder, Navya Insights || President, SPIN Chennai Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials,CSIRO Process Science & Engineering Private Bag 33, Clayton South MDC 3169,Gate 5 Normanby Rd., Clayton Vic. 3168, Australia Dr. Zhiming Yang MD., Ph. D. Department of Radiation Oncology and Molecular Radiation Science,1550 Orleans Street Rm 441, Baltimore MD, 21231,USA Dr. Jifeng Wang Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign Urbana, Illinois, 61801, USA Dr. Giuseppe Baldacchini ENEA - Frascati Research Center, Via Enrico Fermi 45 - P.O. Box 65,00044 Frascati, Roma, ITALY. Dr. MutamedTurkiNayefKhatib Assistant Professor of Telecommunication Engineering,Head of Telecommunication Engineering Department,Palestine Technical University (Kadoorie), TulKarm, PALESTINE. Dr.P.UmaMaheswari Prof &Head,Depaartment of CSE/IT, INFO Institute of Engineering,Coimbatore. Dr. T. Christopher, Ph.D., Assistant Professor &Head,Department of Computer Science,Government Arts College(Autonomous),Udumalpet, India. Dr. T. DEVI Ph.D. Engg. (Warwick, UK), Head,Department of Computer Applications,Bharathiar University,Coimbatore-641 046, India. Dr. Renato J. orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Visiting Scholar at INSEAD,INSEAD Social Innovation Centre,Boulevard de Constance,77305 Fontainebleau - France Y. BenalYurtlu Assist. Prof. OndokuzMayis University Dr.Sumeer Gul Assistant Professor,Department of Library and Information Science,University of Kashmir,India Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688 Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business SchoolRuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Dr. Lucy M. Brown, Ph.D. Texas State University,601 University Drive,School of Journalism and Mass Communication,OM330B,San Marcos, TX 78666 JavadRobati Crop Production Departement,University of Maragheh,Golshahr,Maragheh,Iran VineshSukumar (PhD, MBA) Product Engineering Segment Manager, Imaging Products, Aptina Imaging Inc. Dr. Binod Kumar PhD(CS), M.Phil.(CS), MIAENG,MIEEE Professor, JSPM's Rajarshi Shahu College of Engineering, MCA Dept., Pune, India. Dr. S. B. Warkad Associate Professor, Department of Electrical Engineering, Priyadarshini College of Engineering, Nagpur, India Dr. doc. Ing. RostislavChoteborský, Ph.D. Katedramateriálu a strojírenskétechnologieTechnickáfakulta,Ceskázemedelskáuniverzita v Praze,Kamýcká 129, Praha 6, 165 21

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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.12 NO.06 JUN 2022 Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials,CSIRO Process Science & Engineering Private Bag 33, Clayton South MDC 3169,Gate 5 Normanby Rd., Clayton Vic. 3168 DR.ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg.,HamptonUniversity,Hampton, VA 23688 Mr. Abhishek Taneja B.sc(Electronics),M.B.E,M.C.A.,M.Phil., Assistant Professor in the Department of Computer Science & Applications, at Dronacharya Institute of Management and Technology, Kurukshetra. (India). Dr. Ing. RostislavChotěborský,ph.d, Katedramateriálu a strojírenskétechnologie, Technickáfakulta,Českázemědělskáuniverzita v Praze,Kamýcká 129, Praha 6, 165 21

Dr. AmalaVijayaSelvi Rajan, B.sc,Ph.d, Faculty – Information Technology Dubai Women’s College – Higher Colleges of Technology,P.O. Box – 16062, Dubai, UAE

Naik Nitin AshokraoB.sc,M.Sc Lecturer in YeshwantMahavidyalayaNanded University Dr.A.Kathirvell, B.E, M.E, Ph.D,MISTE, MIACSIT, MENGG Professor - Department of Computer Science and Engineering,Tagore Engineering College, Chennai Dr. H. S. Fadewar B.sc,M.sc,M.Phil.,ph.d,PGDBM,B.Ed. Associate Professor - Sinhgad Institute of Management & Computer Application, Mumbai-BangloreWesternly Express Way Narhe, Pune - 41 Dr. David Batten Leader, Algal Pre-Feasibility Study,Transport Technologies and Sustainable Fuels,CSIRO Energy Transformed Flagship Private Bag 1,Aspendale, Vic. 3195,AUSTRALIA Dr R C Panda (MTech& PhD(IITM);Ex-Faculty (Curtin Univ Tech, Perth, Australia))Scientist CLRI (CSIR), Adyar, Chennai - 600 020,India Miss Jing He PH.D. Candidate of Georgia State University,1450 Willow Lake Dr. NE,Atlanta, GA, 30329 Jeremiah Neubert Assistant Professor,MechanicalEngineering,University of North Dakota Hui Shen Mechanical Engineering Dept,Ohio Northern Univ. Dr. Xiangfa Wu, Ph.D. Assistant Professor / Mechanical Engineering,NORTH DAKOTA STATE UNIVERSITY SeraphinChallyAbou Professor,Mechanical& Industrial Engineering Depart,MEHS Program, 235 Voss-Kovach Hall,1305 OrdeanCourt,Duluth, Minnesota 55812-3042 Dr. Qiang Cheng, Ph.D. Assistant Professor,Computer Science Department Southern Illinois University CarbondaleFaner Hall, Room 2140-Mail Code 45111000 Faner Drive, Carbondale, IL 62901 Dr. Carlos Barrios, PhD Assistant Professor of Architecture,School of Architecture and Planning,The Catholic University of America

Y. BenalYurtlu Assist. Prof. OndokuzMayis University Dr. Lucy M. Brown, Ph.D. Texas State University,601 University Drive,School of Journalism and Mass Communication,OM330B,San Marcos, TX 78666 Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials CSIRO Process Science & Engineering

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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.12 NO.06 JUN 2022 Dr.Sumeer Gul Assistant Professor,Department of Library and Information Science,University of Kashmir,India Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688

Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar)01332-000, São Paulo (SP), Brazil Dr. Wael M. G. Ibrahim Department Head-Electronics Engineering Technology Dept.School of Engineering Technology ECPI College of Technology 5501 Greenwich Road - Suite 100,Virginia Beach, VA 23462 Dr. Messaoud Jake Bahoura Associate Professor-Engineering Department and Center for Materials Research Norfolk State University,700 Park avenue,Norfolk, VA 23504 Dr. V. P. Eswaramurthy M.C.A., M.Phil., Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. P. Kamakkannan,M.C.A., Ph.D ., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. V. Karthikeyani Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 008, India. Dr. K. Thangadurai Ph.D., Assistant Professor, Department of Computer Science, Government Arts College ( Autonomous ), Karur - 639 005,India. Dr. N. Maheswari Ph.D., Assistant Professor, Department of MCA, Faculty of Engineering and Technology, SRM University, Kattangulathur, Kanchipiram Dt - 603 203, India. Mr. Md. Musfique Anwar B.Sc(Engg.) Lecturer, Computer Science & Engineering Department, Jahangirnagar University, Savar, Dhaka, Bangladesh. Mrs. Smitha Ramachandran M.Sc(CS)., SAP Analyst, Akzonobel, Slough, United Kingdom. Dr. V. Vallimayil Ph.D., Director, Department of MCA, Vivekanandha Business School For Women, Elayampalayam, Tiruchengode - 637 205, India. Mr. M. Moorthi M.C.A., M.Phil., Assistant Professor, Department of computer Applications, Kongu Arts and Science College, India PremaSelvarajBsc,M.C.A,M.Phil Assistant Professor,Department of Computer Science,KSR College of Arts and Science, Tiruchengode Mr. G. Rajendran M.C.A., M.Phil., N.E.T., PGDBM., PGDBF., Assistant Professor, Department of Computer Science, Government Arts College, Salem, India. Dr. Pradeep H Pendse B.E.,M.M.S.,Ph.d Dean - IT,Welingkar Institute of Management Development and Research, Mumbai, India Muhammad Javed Centre for Next Generation Localisation, School of Computing, Dublin City University, Dublin 9, Ireland Dr. G. GOBI Assistant Professor-Department of Physics,Government Arts College,Salem - 636 007 Dr.S.Senthilkumar Post Doctoral Research Fellow, (Mathematics and Computer Science & Applications),UniversitiSainsMalaysia,School of Mathematical Sciences, Pulau Pinang-11800,[PENANG],MALAYSIA. Manoj Sharma Associate Professor Deptt. of ECE, PrannathParnami Institute of Management & Technology, Hissar, Haryana, India RAMKUMAR JAGANATHAN Asst-Professor,Dept of Computer Science, V.L.B Janakiammal college of Arts & Science, Coimbatore,Tamilnadu, India Dr. S. B. Warkad Assoc. Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra State, India

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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.12 NO.06 JUN 2022 Dr. Saurabh Pal Associate Professor, UNS Institute of Engg. & Tech., VBS Purvanchal University, Jaunpur, India

Manimala Assistant Professor, Department of Applied Electronics and Instrumentation, St Joseph’s College of Engineering & Technology, Choondacherry Post, Kottayam Dt. Kerala -686579 Dr. Qazi S. M. Zia-ul-Haque Control Engineer Synchrotron-light for Experimental Sciences and Applications in the Middle East (SESAME),P. O. Box 7, Allan 19252, Jordan Dr. A. Subramani, M.C.A.,M.Phil.,Ph.D. Professor,Department of Computer Applications, K.S.R. College of Engineering, Tiruchengode - 637215 Dr. SeraphinChallyAbou Professor, Mechanical & Industrial Engineering Depart. MEHS Program, 235 Voss-Kovach Hall, 1305 Ordean Court Duluth, Minnesota 558123042 Dr. K. Kousalya Professor, Department of CSE,Kongu Engineering College,Perundurai-638 052 Dr. (Mrs.) R. Uma Rani Asso.Prof., Department of Computer Science, Sri Sarada College For Women, Salem-16, Tamil Nadu, India. MOHAMMAD YAZDANI-ASRAMI Electrical and Computer Engineering Department, Babol"Noshirvani" University of Technology, Iran. Dr. Kulasekharan, N, Ph.D Technical Lead - CFD,GE Appliances and Lighting, GE India,John F Welch Technology Center,Plot # 122, EPIP, Phase 2,Whitefield Road,Bangalore – 560066, India. Dr. Manjeet Bansal Dean (Post Graduate),Department of Civil Engineering,Punjab Technical University,GianiZail Singh Campus,Bathinda -151001 (Punjab),INDIA Dr. Oliver Jukić Vice Dean for education,Virovitica College,MatijeGupca 78,33000 Virovitica, Croatia Dr. Lori A. Wolff, Ph.D., J.D. Professor of Leadership and Counselor Education,The University of Mississippi,Department of Leadership and Counselor Education, 139 Guyton University, MS 38677

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Contents ANALYSIS OF E-WALLET APPLICATIONS FOR PRIVACY AND SECURE DATA USING MODERN COMPUTING PARADIGMS …………...….…. [1108]

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ANALYSIS OF E-WALLET APPLICATIONS FOR PRIVACY AND SECURE DATA USING MODERN COMPUTING PARADIGMS Dr. K.S. Mohanasathiya Associate Professor, School of Computer Science, VET Institute of Arts and Science (Co-Edu) College, Erode, Tamil Nadu, India. {sathyaanandh08@gmail.com}

Dr. S. Prasath Assistant Professor, School of Computer Science, VET Institute of Arts and Science (Co-Edu) College, Erode, Tamil Nadu, India. {softprasaths@gmail.com}

Dr. K. R. Ananth Associate Professor & Head, School of Computer Science, VET Institute of Arts and Science (Co-Edu) College, Erode, Tamil Nadu, India. {kranand@vetias.ac.in}

Abstract - Due to the development of the Internet of Things (IoT), people are surrounded by millions of smart devices to gather massive amounts of data. Internet of Things (IoT) smart devices are more familiar and have more processing capacity, whereas vast volumes of data are processed at the edge of computing networks. Data from IoT devices have traditionally been relayed to a central network server housed in a datacentre. Edge computing is a modern computing paradigm in which data is stored at a neighboring edge node with adequate resources to meet device requirements and improve user knowledge. In this work, while providing data to an edge node, maintaining privacy and security is a difficult and a challenging task. As a result, encrypted data are required to be safeguarded from security attacks. In this phase, an attribute-based conjunctive keyword search method is utilized in conjunction with a proxy re-encryption technique to protect user data in the cloud. This makes it easier for the owner to encrypt data using a private key and the user to search for documents using conjunctive keywords. After the data has been reencrypted with a new key, only authenticated users can obtain the required documents. In this phase, designed to track previously searched records in order to minimize search time and enhance search computational overhead. The proposed scheme uses time sealer to guarantee the allocated time to every user in the cloud server and great privacy in the cloud is accomplished with efficiency. The

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proposed scheme gives better results when compared with existing Time Domain MultiAuthority Outsourcing (TMO) and Online/Offline Multi-Authority Decryption Outsourcing (OOMADO) methods in data security. Keywords: IOT, OOMADO, TMO, SSE, PEKS I. Introduction Internet of Things (IoT) devices grow more and have more processing capacity, massive amount of data is created at the "edge" of computer networks. Traditionally, data from IoT devices have been routed to a centralized network server, which is generally located in a data centre. By relocating critical data processing towards the network edge, edge computing solves this latency problem. Edge enabled devices gather and analyze data in real time, instead of continually sending data back to the central server, allowing them to respond quicker and more efficiently. Edge computing is a flexible approach to network infrastructure which takes advantage of the enormous processing power provided by the combination of modern IoT devices as well as edge datacentres and can be used in conjunction with edge datacentres. Edge Computing has evolved as a new computing platform where data is handled at the closest edge node with sufficient capabilities to meet application needs and improve user interface [6]. Edge computing has two distinct advantages over cloud computing. To begin, it makes advantage of available computing and storage

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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.12 NO.06 JUN 2022

resources on edge devices located near consumers to enhance response times. Secondly, because bulk data do not have to be sent to the cloud, the mainline bandwidth is conserved. In edge servers and IoT applications, data security and privacy management pose significant problems. Edge computing can move some storage and computation task activities from cloud computing environment to the networks edge, which might pose a number of security and privacy issues. [3] The phrase "searchable encryption" refers to the ability to examine encrypted data on an unsecured server or cloud without having to decrypt it. This research work uses an attributebased conjunctive keyword search strategy with a proxy re-encryption scheme to protect user data security. This conjunctive keyword search method helps to search documents containing all of the requested keywords by using the conjunctive keyword. It allows users to search for several terms at once [8]. II. Related Works Abdur et al., [1] suggested a mobile edge computing framework that can provide real-time and location-aware customized services to a big crowd. At the server end, the architecture employs a combination of cloud and Fog Computing Terminals (FCT) at the crowd edges and also builds the infrastructure to provide context-aware services for the millions of pilgrims that congregate each year in a tiny region area. Dan et al., [2] presented the idea and characteristics of edge computing on a set of criteria for secured data analytics using edge computing by examining possible security concerns. Furthermore, edge computing can provide a complete assessment of the pros and cons of existing researches on data analytics in edge computing. Traffic and Energy Saving Encrypted Search (TEES), a bandwidth and energy efficient encryption search paradigm over mobile cloud is suggested by Jia et al., [4]. In this work, architecture enhances communication between mobile clients as well as the cloud by offloading computing from mobile systems to the cloud. It is also shown that when performance enhancement methods are used, data privacy does not suffer. On encoded smart body sensor network data, Lan et al., [5] presented a Memory LeakageResistant Dynamic and Verifiable Multi keyword Ranked Search system (MLR-DVMRS). To 1109

achieve memory leakage resistance, the unclonable approach utilized by fuzzy extractors. Lili et al., [7] presented a privacypreserving conjunctive keyword search scheme over encrypted cloud data that allows dynamic updating operations and at the same time, also introduced Multi-attribute Conjunctive Keyword Search strategy based on Multi-Attribute Tree (MCKS-MAT) method that can accomplish equality, subset and range conjunction while also satisfying privacy and security requirements under the recognized background attack scenario. SSE (Searchable Symmetric Encryption) and PEKS (Public Key Encryption with Keyword Search) are the two primary methods of Symmetric Encryption, according to Wang et al., [8]. This article categorizes and compares several Symmetric Encryption systems in terms of usefulness, efficiency and security. Further, it identifies some promising new areas for research on Symmetric Encryption systems. Yin et al., [9] discussed the fundamental attacks and influential assaults. In this research, defensive mechanism is applied to edge computing systems to better understand the threats and problems of securing these systems. III. Methodology The following approaches are developed to overcome the constraints of present methodology. A. Time Domain Multi-Authority Outsourcing (TMO) To improve data security and safeguard user privacy, Time Domain Multi-Authority Outsourcing uses an attribute-based encryption technique. Time Domain Multi-Authority Outsourcing, in particular includes time as one of the encrypting factors and divides attributes into universal and temporal attributes, allowing more flexible data access method. It expanded their multi-authority attribute-based encryption approach by exporting decryption to edge nodes, which can significantly may cost low. Time Domain Multi-Authority Outsourcing also has an easy-touse approach for changing access policies. Edge storage nodes can update the access policy of the existing ciphertext online without wasting network traffic, rather than requiring the data owner to obtain the encrypted data and decrypt it for further distribution. In the edge computing environment, a time domain outsourced multi-authority attribute-based encryption technique is used. For data gathering and exchange, Time Domain Multi-Authority www.ijitce.co.uk

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Outsourcing enables safe and efficient finegrained access permissions. Time is a deterministic element for data use with everincreasing data and advanced applications. To maintain security and system adaptability it is necessary to incorporate time domain information within the encryption scheme. Time Domain MultiAuthority Outsourcing also makes use of the advantages of edge computing to provide multiauthority and outsourcing characteristics in order to boost efficiency. The security concern posed by key ciphertext communication between both the cloud and the terminal is also reduced by outsourcing to edge nodes. Plain data are divided into data blocks, which are then encrypted locally with symmetric encryption and also the multiauthority attribute-based encryption technique is used to encrypt the encryption key. Edge Storage Node (ESN) receives both forms of ciphertext for storage. Universal attributes and temporal attributes make up Time Domain Multi-Authority Outsourcing attributes. The private keys for legal data users are correct and their accessing time is likewise within the acceptable time period. Further by delivering the matching modified edge key, data consumers can utilize Edge Computing Node (ECN) to pre-decrypt the ciphertext. Finally, after executing the minimal decryption locally, users get the data content. B. Online/Offline Multi-Authority Decryption Outsourcing (OOMADO) Data Owner (DO) is an entity to hold data and encrypts it before uploading it to cloud servers. A data owner does not want the Cloud Service Provider to understand anything about the data and permits access to data users whose attributes match a particular policy. Data owners may be forced to encrypt their data using resourceconstrained devices while the gadgets remain reliable. The Cloud Service Provider (CSP) provides storage space to data owners. Thought the Cloud Service Provider is a stranger and tries to extract information from data it has and the data cannot be changed or removed. Data Users (DU) seek to see data that the owner has outsourced to the Cloud Service Provider and get access to this information after meeting certain criteria. Attribute Authorities provided the data users with decryption keys corresponding to their attributes but the users of data become untrustworthy and attempt to obtain unauthorized data. Hence, it is important for Attribute Authority and data users to work together. 1110

Each data user is assigned a Global Identification (GID), such as a social security card or a passport number, which must be provided to the attribute authorities in order to acquire the decryption keys. All decryption devices used by Data Users are assumed to be trustworthy but there is more Attribute Authorities (AA) to manage distinct user attributes and create the matching public key and decryption key. On providing global IDs, data users get their attributes and accompanying decryption keys from appropriate attribute authorities global identifiers (GID). For instance, the department of Motor Vehicles might be an Attribute Authorities (AA) and recognizes that a certain data user is capable of driving. A university may also verify a data user as a student of institution but it is possible that certain Attribute Authorities (AAs) are corrupted. Proxy Server (PS) executes partial decryption of the encrypted cypher text for data user after receiving a modified decryption key from data user. This system reduces the decryption load on user devices while keeping the proxy server known about the encrypted traffic. The proxy server may attempt to extract as much data as possible from ciphertext, but this has no effect on the transformation validity. It might be a component of cloud server or perhaps an independent entity. The system parameters are defined by the System Manager (SM). Hence the data user needs to upload the authentication of data using the attribute-based multi-authority ciphertext encryption system online/offline cryptographic techniques. C. Proposed Methodology The results of the proposed scheme are presented and algorithms are discussed. The three steps of the proposed scheme. The initial step is global set up of the entire process. By establishing and distributing global parameters to data owner and edge server, user initiates process of the system. If the user wants to access the server requested data files the user need to have authentication from the data owner. The data owner further authenticates user upon receiving the request and then creates the private key using the valid trapdoor. The next step is that the data owner carries out the performs immediately after authenticating the user. The authorized person encrypts the documents as well as the index, which comprises a list of keywords. Then owner uses the private key to publish the encrypted documents and index to the edge server. The data www.ijitce.co.uk

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owner additionally specifies the time period for each user with a beginning (day/month/year) and end (day/ month/ year) pattern. While the data owner updates files to the edge server, the data user is allowed to search documents using keywords. This feature proposed in the system allows the user to do a search at any moment of time. When the effective time expires, the users search authority is automatically revoked. The current time information is encoded in the reencrypted cipher text with a time seal in order to achieve the time controlled access right revocation. The user requests the server at a specific time using the time sealer and the request is denied if the time information buried in the reencrypted cipher text differs from the time supplied by the owner. By providing separate time seals, the data owner can give different time periods for different consumers. Because the limitation is created, the owner is bound by the effective time period. It maintains record of previously searched documents containing keywords as a local filter within that edge server. Every previously searched data are saved in cipher text format in the filter and this allows users to quickly and easily locate the documents. Because the attribute-based conjunctive keyword search scheme is used, the user is aided by the fact that all sought terms are included in the required documents. This minimizes user workload by reducing the quantity of documents. In the last step, the user uses an attribute-based conjunctive term with the trapdoor to query the edge server and the server replies to the search query when the time seal contained in the trapdoor meets the effective time private key as well as time seal T period embedded in the proxy re-encrypted ciphertext. Instead, if the edge server denies the search request, the edge server becomes a proxy to re-encrypt the cipher text that fits the keyword after checking the time period. Unless the user gets permission, the edge server goes through a re-encryption process with a fresh key and this process does not take place otherwise. As a result, both computational complexity and time delay are reduced. Because the data owner offers various time for different users, the proposed scheme is intended to enable multi-users. Social engineering is the use of shareable information to allow attackers to transmit fraudulent payments in the name of the particular recipient. The same data are sold in the open market for a profit and used to track down the original users identity. Due to their user 1111

satisfaction and simplicity of access, mobile wallets achieve maximum use through widespread user participation. Many new policy initiatives are predicted to be in place to keep the security protocols such as authentication, authorization, integrity, confidentiality and privacy in area when it comes to sensitive information stored in the mobile wallet. Some of the most new advancements that need to be examined and implemented provide mobile wallets an extra support. Encryption is the process of converting textual information into an unreadable message. This encryption is essential in e-wallets to ensure their validity. Privacy is defined as the access to personal data and the desired access over unauthorized use. To establish the validity and increase the privacy of network transactions, every stated wallets use a unique encryption technique. The types of keys utilized, access control, the security method employed and the quantity of bytes of input data are the all elements in the encryption technique process. Encryption appears to be one of the best data security techniques available today. Data security is improved by user authentication and transparent encryption. Attacks on data or information transferred via a mobile device can be avoided. Because there are so many vulnerabilities to access data, attackers role gets more relaxed in gaining access to all personal information. In traditional web wallet, the information is needed to be supplied online but susceptible to phishing attacks, compromising data privacy. The ultimate objective of every security mechanism is to enable lawful access to mobile devices and upcoming transaction to be done through applications. It discusses several encryption techniques and benefits for use in mobile wallet applications. The user with a secret key encrypts using such a public key and decodes with a secret key while maintaining a certain level of confidentiality. The attributes are used to represent user credentials and now the user who encrypts a communication establishes a unique password for the recipient who decrypts it. The encrypted data in Cipher Text Attribute Based Encryption (CPABE) remains private and protected against collusion attacks. Encryption is performed using a set of attributes provided by the authorities and random numbers, whereas decryption is performed if the decrypting entity provides at least x number of attributes. www.ijitce.co.uk

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Unified Payment Interface (UPI) is a significant factor that allows users to make payments directly from bank accounts using their e-wallet. In the recent years, millions have been utilizing the e-wallet, but it has its own set of constraints. Compatibility is one of the restrictions. Initially, the money transfer between the sender and the receiver has been made from same bank account but now it is almost a constraint that money could not be transferred from wallet to bank. Strategies to resolve interoperability via UPI, as well as robust security in all e-wallets can be created in the future. In order to ensure the security of the payment channel and payment mode, sessions during the time it takes to get One Time Password (OTP) in wallets should be secured. E-wallet apps made it especially simple for users to do transactions easily and frequently. Too many business sectors have adopted the widely used notion of an e-wallet, each with their own flavour and set of features. However, there are still enough security issues. The different security threats leaks have been explored in this work and stronger wallets have been developed. A new fresh type of e-wallet application can be created by taking into account the problems that need to be addressed. The proposed scheme is built utilizing the NS2 simulator. To implement experimental work, the performance evaluation of proposed technique with number of mobile users is examined. The proposed scheme is performed with different numbers of data and measured with different parameters. The analysis of proposed scheme is compared with the existing TMO, OOMADO, Bayesian Method and Game Method performance. IV. Experimentation and Results The development of mobile network access and mobile wallets, also known as ewallets have become one of the most commonly used platforms for making payments under financial regulations from a mobile device. It has spread to all corners of the globe and is utilized by common people although due to its easiness of use and utility. In recent years, the growth of mobile wallets has been tremendous with programmes like as Paytm, Paymate, PayUmoney, MobiKwik and others thus making it easier for users to manage and make secured payments. 1112

E-wallets have replaced traditional wallets by lowering the use of cash amongst people. According to research findings, cashless transactions are simple to use and save time, but security is still a risk. Mobile wallet apps rely on insufficient resources such as restricted battery life, bandwidth, storage space and processing performance. By offloading computations to a resourceful server, such restrictions can be greatly alleviated. Large-scale simulations are not permitted in this environment. Outsourced validation of the computations is now delegated to an untrustworthy server. It is clear that even when payments are made over wireless networks, a wide range of security challenges such as denial of service, rogue access points and security attacks are feasible. The consumer requires transaction information, such as credit and debit card numbers while the edge server authenticates or verifies the customer after receiving a response from the customer and generates a secured private key with authorized trapdoor. Further the edge server then encrypts the information and creates an index for easy retrieval. The index in this scenario is much more than a collection of unique keywords, such as an account number or a customer name and encrypts the document before uploading and indexing it to the edge server using the secure private key. In addition, the edge server specifies a time period for each users and the time sealer specifies the time period. The customer uses the conjunctive keywords with trapdoor to request data from edge server. The time embedded as in data at the time sealer then must match the customer request time. If the time period is the same, the edge server serves as a proxy server, re-encrypting the cipher text with a fresh private key. The re-encryption procedure is only done when the customer has been granted approval. Finally, the customer receives the re-encrypted cipher text with fresh private key for decryption from edge server. To enhance search efficiency, a local filter maintains record of earlier document access. To assess the proposed scheme performance, characteristics such as computing overload, encryption time and decryption time are compared to existing methods such as Time Domain Multi-Authority Outsourcing (TMO) and Online/Offline Multi-Authority Decryption Outsourcing (OOMADO).

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4.1 Performance Analysis of Computational Overhead The analysis of proposed scheme is compared with existing TMO, OOMADO, Bayesian Method and Game Method performance and is shown in Table 1.1. Table 1.1 Impact of Computational Overhead Total no. of Mobile Users

Existing Bayesian Method

Existing Game Method

Existing TMO

Existing OOMADO

Propo sed Sche me

Table 1.3 Impact of Decryption Time No. of Attributes Authorities (AA)

Existing Bayesian Method

295

Existing TMO

Existing OOMADO

Proposed Scheme

135

318

180

452

174

580

289

242

112

The variation of decryption time with the system time of existing methods. 4.4 Performance Analysis of Search Efficiency The search efficiency of proposed scheme is compared with TMO, OOMADO, Bayesian Method and Game Method. It is shown in Table 1.4. Table 1.4 Impact of Search Efficiency

It represents the variation of computational overhead time with the system time of existing methods.

No. of Attributes Authorities (AA)

Existing Bayesian Method

4.2 Performance Analysis of Encryption Time The evaluation of proposed scheme is compared with existing TMO, OOMADO, Bayesian Method and Game Method and is given in Table 1.2. Table 1.2 Impact of Encryption Time

9.5

No. of Attributes Authoriti es (AA)

Existing Bayesia n Method

Existing Existing Game TMO Method

Existing OOMAD O

Propo sed Sche me

4300

3600

1100

1600

1000

3100

3017

2000

2200

1800

2620

2518

2500

2800

1900

5140

4198

3800

4000

2800

8750

7412

4800

7000

4000

The variation of computational overhead time with the system time of existing schemes. 4.3 Performance Analysis of Decryption Time The performance of proposed scheme is compared and evaluated with existing TMO, OOMADO, Bayesian Method and Game Method and is presented in Table 1.3. 1113

Existing Game Method

Existing TMO

Existing OOMADO

Proposed Scheme

8.1

7.5

3.5

2.5

13.8

12.0

9.8

3.6

2.0

25.2

17.4

4.5

3.9

2.4

30.5

26.9

5.8

4.0

2.1

100

24.2

21.7

7.2

3.5

1.8

It represents the measures of search time when compared with number of keyword-document pairs for existing schemes TMO, OOMADO, Bayesian Method and Game Method. Attribute based conjunctive keyword search Encryption scheme is used in proposed scheme in order to evaluate the Search Efficiency. The search efficiency is found to be higher for the proposed scheme when compared to TMO, OOMADO, Bayesian Method and Game Method. V. CONCLUSION The growing popularity of the Internet of Things (IoT), trend towards combining traditional cloud computing with resources available at the edge of the network. This way it becomes possible to exploit the complementary characteristics of both types of platforms. However, unifying the two www.ijitce.co.uk

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types of platforms poses new challenges to developers and operational becomes increasingly harder to determine where services should run based on their non-functional and runtimerequirements, while simultaneously utilizing the resources at hand in an optimal way. The proposed attribute-based conjunctive keyword search scheme is developed and coupled with a proxy re-encryption technique to safeguard users data. Additionally, the amount of time allotted to each client in order to decrease user complexity. The proposed scheme is 10% more efficient than existing methods in terms of safeguarding data and protecting the privacy of the owner. It comprised encryption, decryption and computational overhead process. The first work of proposed scheme is compared with the existing TMO, OOMADO, Bayesian Method and Game Method. As described in this research, the e-wallet applications implemented with proposed techniques are utilized effectively in edge computing.

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Wang Yunling, Wang Jianfeng, Chen Xiaofeng (2016),“Secure searchable encryption: a survey”, Springer, Pp.52-65. Yinhao Xiao, Yizhen Jia, Chunchi Liu, Xiuzhen Cheng, Jiguo Yu and WeifengLv (2019), “Edge Computing Security: State of the Art and Challenges”, Proceedings of the IEEE, Vol.107, Iss.8, Pp.1608-1631.

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