Identity Based Replicated Node Detection and Localization in Wireless Network

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4

Abstract

 Abstract: Wireless networks are more prone towards identity-based attacks, especially the spoofing attacks. These spoofing attacks can further cause many other forms of attacks such as rouge access point attack and denial of service attacks (DOS). Hence the performance of the network is significantly impacted by them. Identity of the node can be verified through cryptographic authentication; however the conventional security approaches are not always possible because it requires infrastructural overhead and key management. In this paper we propose a method for detecting the spoofing attacks. This method utilizes MD5 (Message Digest 5) algorithm, which generates unique identification keys for all the nodes in the network. These unique keys are used as a basis for detecting the attacks and determining the actual number of attackers in the network and to localize these adversaries. Results of the project show that, the proposed method effectively detects the attack and locates the position of the adversaries performing the attack. There by it provides strong evidence to the effectiveness of the proposed method.

Authors and Affiliations

Deepa Hurali , Prof. Vidya R. Kulkarni

Keywords

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  • EP ID EP126651
  • DOI 10.9790/0661-16422737
  • Views 118
  • Downloads 0

How To Cite

Deepa Hurali, Prof. Vidya R. Kulkarni (2014).  Identity Based Replicated Node Detection and Localization in Wireless Network. IOSR Journals (IOSR Journal of Computer Engineering), 16(4), 27-37. https://europub.co.uk/articles/-A-126651