A Novel Intrusion Detection System for Detecting Black Hole Attacks in Wireless Sensor Network using AODV Protocol

Ghugar, Umashankar and Pradhan, Jayaram and Biswal, Monalisa A Novel Intrusion Detection System for Detecting Black Hole Attacks in Wireless Sensor Network using AODV Protocol. IJCSN - International Journal of Computer Science and Network, 2016, vol. 5, n. 4. [Journal article (Unpaginated)]

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English abstract

Wireless Sensor Networks (WSN) has wide application in data gathering and data transmission as per the user’s requirement and it consist of number of nodes. These nodes have limited battery power, limited resources and limited computational power .Due to all these factors, WSN faces more security threats. Security issues are a vital problem to be solved in Wireless Sensor networks (WSNs). Different types of intrusion detection systems (IDS) are developed to make WSN more secure. In this paper the proposed IDS are based on watchdog monitoring technique and are able to detect Black Hole attacks using AODV (Ad- Hoc On-Demand Distance Vector) Protocol. Besides, the betterment that makes watchdog monitoring technique more reliable are described and the results of simulations of the IDS on NS-2 simulator are presented.

Item type: Journal article (Unpaginated)
Keywords: AODV; RREQ; RREP; IDS; PDR; DSR
Subjects: L. Information technology and library technology > LH. Computer and network security.
Depositing user: IJCSN Journal
Date deposited: 29 Oct 2016 02:25
Last modified: 29 Oct 2016 02:25
URI: http://hdl.handle.net/10760/30158

References

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