Current trends in information technology (vol4, issue1) by STM Journals Publication

Current Trends in Information Technology (CTIT) ISSN: 2348-7895

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STM JOURNALS

I take the privilege to present the hard copy compilation for the [Volume 4 Issue (1)] of Current Trends in Information Technology. The intension of CTIT is to create an atmosphere that stimulates creativeness, research and growth in the area of Information Technology. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. CTIT provides an outlet for Research findings and reviews in areas of Information Technology found to be relevant for National and International recent developments & research initiative. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Information Technology. Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for their continued support and invaluable contributions and suggestions in the form of authoring writeups/ reviewing and providing constructive comments for the advancement of the journals. With regards to their due continuous support and co-operation, we have been able to publish quality Research/Reviews findings for our customers base. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra Director STM Journals

Contents 1. A Survey on Different Approaches of Attribute based Encryption For Cloud File System Swati Sengar, Satyendra Singh Rawat

2. Performance Analysis of Fusion Classifier of Face Recognition System based on ANN and GA Rizoan Toufiq, Md. Rabiul Islam

3. Time Base Modulation Approach to Audio Watermarking Chandrashekhar S. Shinde

4. Twitter based TV Rating Analysis with TV-viewing and Sentiment Analysis Amrapali Mhaisgawali, Dr. Nupur Giri

Current Trends in Information Technology ISSN: 2348-7895 Volume 4, Issue 1 www.stmjournals.com

A Survey on Different Approaches of Attribute based Encryption For Cloud File System Swati Sengar*, Satyendra Singh Rawat Department of Computer Science, SRCEM, Gwalior, MP, India Abstract Cloud computing has emerged as a solution for organizations that desire services on lease. It enables convenient and on-demand network access to a centralized pool of configurable computing resources. Among many of its applications, File distributing and sharing is one of the most commonly used services in cloud computing. The requirement of data security grows with the faster growing cloud computing. One feasible solution is Attribute based encryption (ABE). In this paper a hybrid approach that blends ABE and Shifted Huffman Encoding (SFT) for encryption is proposed. The solution focus on data security achieved by Attribute based encryption and data compression through Shifted Huffman Encoding. This paper is a comparative study of different ABE based techniques for Cloud Environment.

Keywords: Cloud computing, hierarchical attribute-based encryption, fine-grained access control, scalability

Current Trends in Information Technology ISSN: 2348-7895 Volume 4, Issue 1 www.stmjournals.com

Performance Analysis of Fusion Classifier of Face Recognition System based on ANN and GA Rizoan Toufiq, Md. Rabiul Islam* Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh Abstract Though a lot of significant work has been done for recognizing and improving the performance in facial pattern, most techniques have been developed based on a single classifier. But most often, the performance of the classifier is not satisfactory in some case. It has been proposed that the performance of face recognition will be improved by fusing two or more classifiers. We can combine the information/data in different level i.e., feature levels, data levels or classifier levels. We developed two classifier named back-propagation neural network and genetic algorithm. Then we combined their output based on newly developed fusion algorithm. The performance of the proposed fusion classifier can give better recognition rate compared with the performances of individual classifier. Here the fusion has been occurred in two stages. First we have selected the close classified facial pattern for testing pattern by using backpropagation classifier and genetic algorithm classifiers. Then final facial image has been selected among the previously selected facial image by calculation some feature and distance from the test facial pattern.

Keywords: fusion classifier; back-propagation algorithm; genetic algorithm; principal component analysis

Current Trends in Information Technology ISSN: 2348-7895 Volume 4, Issue 1 www.stmjournals.com

Time Base Modulation Approach to Audio Watermarking Chandrashekhar S. Shinde* Computer Science & Engineering Department, Dr. J. J. Magdum College of Engineering, Jaysingpur (MS) India Abstract A new method is presented for inaudibly hiding information in an audio signal by subtly applying time-scale modification to segments of the signal. The sequence, duration, and degree of the time-scale modifications are the parameters which encode information in the altered signal. By comparing the altered signal with a reference copy, compressed and expanded regions can be identified and the hidden data recovered. This approach is novel and has several advantages over other methods: it is theoretically noiseless, it introduces no spectral distortion, and it is robust to all known methods of reproduction, compression, and transmission. Keywords: Audio watermarking, time base modulation, tempo map

Current Trends in Information Technology ISSN: 2348-7895 Volume 4, Issue 1 www.stmjournals.com

Twitter based TV Rating Analysis with TV-viewing and Sentiment Analysis Amrapali Mhaisgawali*, Dr. Nupur Giri Department of Information Technology , Vivekanand Institute of Technology, Chembur, Mumbai, India

Abstract Social Media is now used as a back channel to TV programs by viewers who would like to express their opinion about watching programs or just simply put on records of TV viewing. TV viewing rate is a critical indicator regarding the popularity of programs. Now a dayâ&#x20AC;&#x2122;s social media is generally used to gather crowd sentiments to gather this information. Current methodologies based on Neilsen TV ratings adopt small sample group for the same. This approach saves cost, time as well as gives preliminary information. But it fails to bring out the actual sentiments on the real time samples. Our work proposes to use social media typically twitter to gather real time crowd sentiments regarding different TV shows and compute TRP based on type number etc. giving descriptive analysis.

Keywords: Television rating point, micro-blogging, sentiment analysis