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  Detection of Malicious Nodes in Ad Hoc Network using Statistical Method  
  Authors : Rajib Das; BipulSyam Purkayastha; Sanjeev Kumar Singh
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The nature of wireless ad hoc and sensor networks make them very attractive to attackers. One of the most popular and serious attacks in wireless ad hoc networks is malicious node attack and most proposed protocols to defend against this attack used positioning devices, synchronized clocks, or directional antennas. Each device in a MANET can move freely in any direction, and will therefore change its links to other devices easily. Each must forward traffic of others, and therefore be called a router. The main challenge in building a MANET is in terms of security. In this paper the statistical approach is presented to detect malicious nodes using the probability density function (PDF). The proposed approach works with existing routing protocol and the nodes that are suspected of having the malicious behaviour are given a behavioral test. This approach formulates this problem with the help of probability and continuous Bayes’ theorem.


Published In : IJCSN Journal Volume 3, Issue 5

Date of Publication : October 2014

Pages : 412 - 415

Figures : 02

Tables : --

Publication Link : Detection of Malicious Nodes in Ad Hoc Network using Statistical Method




Rajib Das : Department of Computer Science Assam University, Silchar – 788011, Assam

BipulSyam Purkayastha : Department of Mathematics, Union Christian College, Ri-Bhoi-793122, Meghalaya

Sanjeev Kumar Singh : Department of Mathematics, Union Christian College, Ri-Bhoi-793122, Meghalaya









malicious node



Bayes’ theorem

Mobile ad hoc networks exhibit new vulnerabilities to malicious attacks or denial of cooperation. This paper addresses the statistical approach to detect malicious nodes using the probability density function. The challenges of security, scalability, mobility, bandwidth limitations, and power constraints of these networks have not been completely unsolvedtill date.










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