A Local Position of Recognition of Node Duplication Attacks in Wireless Networks
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 3
Abstract
IP spoofing-based submerging attacks are a serious and open security problem on the current Internet. The best current anti-spoofing practices have long been implemented in modern routers. However, they are not sufficiently applied due to the lack of deployment incentives although the identity of a node can be verified through cryptographic authentication, predictable security approaches are not always desirable because of their overhead requirements. Propose to use the three-dimensional correlation of received signal strength (RSS) inherited from wireless nodes to detect the spoofing attacks. Then communicate the problem of determining the number of attackers as a multiclass detection problem. Cluster-based tools are developed to determine the number of attackers achieves monotonically increasing deployment incentives for all types of spoofing attacks, and the structure design is insubstantial and practical. The prefix compression algorithm advances the up-to-date by generalizing the functionalities and reducing the overhead in both time and space. To determine the Spoofing attacks in turn determine the number of attacker masquerading the node and to localize the adversaries.
Authors and Affiliations
R. Latha MCA M. E
Keywords
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