A Novel Technique to Detect Malicious Packet Dropping Attacks in Wireless Sensor Networks


J. Sebastian Terence, Geethanjali Purushothaman, Journal of Information Processing Systems Vol. 15, No. 1, pp. 203-216, Feb. 2019  

https://doi.org/10.3745/JIPS.03.0110
Keywords: Blackhole Attack, Grayhole attack, Packet Dropping Attacks, Sinkhole attack, Wireless Sensor Network
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Abstract

The nature of wireless transmission has made wireless sensor networks defenseless against various attacks. This paper presents warning message counter method (WMC) to detect blackhole attack, grayhole attack and sinkhole attack in wireless sensor networks. The objective of these attackers are, to draw the nearby network traffic by false routing information and disrupt the network operation through dropping all the received packets (blackhole attack), selectively dropping the received packets (grayhole and sinkhole attack) and modifying the content of the packet (sinkhole attack). We have also attempted light weighted symmetric key cryptography to find data modification by the sinkhole node. Simulation results shows that, WMC detects sinkhole attack, blackhole attack and grayhole attack with less false positive 8% and less false negative 6%.


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Cite this article
[APA Style]
Terence, J. & Purushothaman, G. (2019). A Novel Technique to Detect Malicious Packet Dropping Attacks in Wireless Sensor Networks. Journal of Information Processing Systems, 15(1), 203-216. DOI: 10.3745/JIPS.03.0110.

[IEEE Style]
J. S. Terence and G. Purushothaman, "A Novel Technique to Detect Malicious Packet Dropping Attacks in Wireless Sensor Networks," Journal of Information Processing Systems, vol. 15, no. 1, pp. 203-216, 2019. DOI: 10.3745/JIPS.03.0110.

[ACM Style]
J. Sebastian Terence and Geethanjali Purushothaman. 2019. A Novel Technique to Detect Malicious Packet Dropping Attacks in Wireless Sensor Networks. Journal of Information Processing Systems, 15, 1, (2019), 203-216. DOI: 10.3745/JIPS.03.0110.