secure data forwarding and preventing from spoofing attacks
K.Ravikumar,GV KAYAL VIZHI
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:3 Issue:1 Year: 26 June,2014 Pages:316-320
Abstract
Spatial information, a physical property associated with each node, hard to falsify, and not a few cryptography, as the foundation for 1) discovering spoofing attacks; 2) identifying the variety of assailants when several opponents disguised as the same node identity; and 3) localizing several opponents. It suggests to use the spatial connection of obtained indication durability (RSS) got from wi-fi nodes to recognize the spoofing strikes. Then come up with the issue of identifying the variety of assailants as a multiclass recognition issue. Cluster-based systems are designed to figure out the variety of assailants. When the training data are available, discover using the Support Vector Devices (SVM) method to further improve the precision of identifying the variety of assailants. Sybil Defensive player can successfully recognize the Sybil nodes and recognize the Sybil group around a Sybil node, even when the variety of Sybil nodes presented by each strike advantage is close to the hypothetically noticeable lower limited. Besides, we recommend two techniques to restricting the variety of strike sides in on the internet public networking sites. The study results of our Face book application show that the supposition made by past work that all the connections in public networking sites are reliable does not apply to on the internet public networking sites, and it is possible to restrict the variety of strike sides in on the internet public networking sites by connection ranking.
Kewords
Sybil Attack, Social Network, Random Walk
Reference
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