IJIFR VOLUME 3 ISSUE 12 AUGUST 2016

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ISSN: 2347-1697 International Journal of Informative & Futuristic Research (IJIFR) Volume - 3, Issue -12, August 2016 Continuous 36 th Edition, Page No: 4613-4619 [2] Javelin Strategy & Research, “2013 Identify Fraud Report,”https://www.javelinstrategy.com/brochure/276. [3] Anti-Phishing Working Group (APWG), “Phishing Activity Trends Report,2013,”http://docs.apwg.org/reports/apwg_trends_report_q2_2013.pdf .A [4] A.Joseph Raphael,Dr.V Sundaram, “Cryptography and Steganography – A Survey ”,Int. J. Comp. Tech. Appl., Vol 2 (3), 626-630. [5] Fridrich, J., Goljan, M., and Hogea, D. (2002). Steganalysisof jpeg images: Breaking the f5 algorithm. In Proc.ofIn 5th InternationaWorkshop on Information Hiding.. [6] http://kalanir.blogspot.in/2010/02/how-to-split-image-into-chunks-java.html. [7] Hare Ram Sah, Dr.G.Gunasekaran Professor ,”Privacy preserved data mining using visual steganography and encryption”, The 10th International Conference on Computer Science & Education (ICCSE 2015) July 22-24, 2015. Fitzwilliam College, Cambridge University, UK. [8] Souvik Roy, P. Venkateswaran,” Online Payment System using Steganography and Visual Cryptography”, 2014 IEEE Students’ Conference on Electrical, Electronics and Computer Science Arya Sudersanan, Reji George:: Privacy Preserved Online Garment Designing Using Cryptography, Visual Steganography & Image Slicing 4619
Reviewed Paper Volume 3 Issue 12 August 2016 International Journal of Informative & Futuristic Research ISSN: 2347-1697 Jamming Attacks Prevention Using Data Hiding Methods Computer Paper ID IJIFR/V3/ E12/ 038 Page No. 4620-4625 Research Area Network SHCS, RSA, AONT-HS, Selective Jamming Attacks, Protocol Semantics, Keywords Decoding Packets 1 st Sarisha Kumari. S 2 nd Shyma Kareem M.Tech. Student (IInd Yr) Department Of Computer Science Musaliar College Of Engineering & Technology Pathanamthitta, Kerala Assistant Professor Department Of Computer Science Musaliar College Of Engineering & Technology Pathanamthitta, Kerala Abstract Jamming or interference in network environment has been addressed under an external threat model. In external threat model jammer is not part of the network. This work addresses the problem of jamming under an internal threat model. An adversary who is aware of network secrets and the implementation details of network protocols at any layer in the network stack. The adversary exploits the internal knowledge for launching selective jamming attacks in which particular messages of “high significance” are targeted. Jammer can target route-request/route-reply messages at the routing layer and thereby severely degrade the throughput. This strategy is actualized either by classifying transmitted packets using protocol semantics or by decoding packets. After classification, the adversary induces a sufficient number of bit errors so that the data cannot be recovered at the receiver. Packet hiding methods are proposed to ensure secure data transfer. The method includes Strong Hiding Commitment Scheme (SHCS), asymmetric encryption using RSA algorithm, An All or Nothing Transformation Hiding Scheme (AONT-HS). Available online through - http://ijifr.com/searchjournal.aspx Copyright © IJIFR 2016 Published On: 31 st August 2016 4620
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IJIFR VOLUME 3 ISSUE 12 AUGUST 2016

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