Icaciem2017075

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International Conference on Advances & Challenges in Interdisciplinary Engineering and Management

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International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017]

ISBN Website Received Article ID

978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM075

VOL eMail Accepted eAID

01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.075

Reputation System for Improving Security in VOIP 1,2,3,4

S Manivannan1, S Matheshwaran2, S Naveen Kumar3, P Pandiyaraj4 Final Year Students , Department of MCA, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India

Abstract: Voice over Internet Protocol (VoIP) is built upon the interaction of a number of application protocols on the Internet. The open architecture of the Internet, however, makes VoIP protocols subject to more attacks. Spammers intend to create an environment of untrusted in the provided services as well as the tools used for the provision. Spam appears as a real threat that the service providers try to combat using in particular some filtering mechanisms. These filters are not always efficient as they have to make sure before discarding any message that the latter is a spam message with an extremely high confidence. In addition, these filters also need to be maintained and updated regularly. Reputation systems are mechanisms that have been used in many different areas to build trust between members of a certain community. The Session Initiation Protocol (SIP) and the Real Time Transport Protocol (RTP) are the dominant VoIP signalling protocol and media transport protocol respectively. This work proposed a novel trust and reputation based inter domain connections for improving the security of VoIP using Session Initiation Protocol (SIP). Trust management can help improving the security of VOIP.

ISBN Website Received Article ID

978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM076

VOL eMail Accepted eAID

01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.076

Analysing and Discovering Imitating Intruders in Real Time Wireless Sensor Networks 1

L Deepanprabu1, P Ramya2, P J Shriidhar3 ME [CSE], Associate Professor, Assistant Professor, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India 2

3

Abstract: The working principles of networks can easily achieved by using wireless spoofing attacks. Because of the cryptographic authentication and usual security approaches, their transparency requirements are not always desirable. In this paper, find the existence of attacks as well as find out the number of adversaries, spoofing the same sensor node identity. To detect the spoofing attacks and identifying the number of attackers, received signal strength (RSS) and a multiclass detection problem is used. Cluster-based mechanisms are constructed to determine the number of intruders. Support Vector Machines (SVM) method is used to get better the accuracy of finding the number of intruders. The positions of multiple Intruders can restrict by integrated detection method. Our tentative results and Identification results proves that our procedure can obtain over 95 per cent Hit Rate and obtain high rate of identifying multiple adversaries.

This paper is prepared exclusively for International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr K Samidurai and Editors Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution.

2017 © Reserved by Association of Scientists, Developers and Faculties [www.ASDF.international]


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