Multiple Spoofing Identification For Network Level Security
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 8
Abstract
It’s easy to spoof the wireless networks using the mac identity and the ipconfig. The techniques which have been used based on the Matching rules of signal prints for spoofing detection, RSS readings using a Gaussian mixture model, RSS and K-means cluster analysis. None of the approach can determine number of attackers when used the same identity by adversaries. And the other techniques used to localize the attack detection Chen-et-al studied how to localize adversaries but can only handle only a single attack this study cannot detect if the attacker use different transmission power levels for sniffing the network. Where it is not possible to gain the knowledge needed to implement. We can overcome these approaches disadvantages by using our proposed system. We use ABP, Silence Mechanism, SVM for our proposed system, beside of the algorithms based on Radargridded algorithm, Bayesian network for the graphical identity, cluster analysis and the area based probability.
Authors and Affiliations
G. Srikanth, M. Ashok Kumar
Keywords
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