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A Compromised Cluster Detection Method in Dynamic En-route Filtering Utilizing False Reports of Wireless Sensor Networks

7 pagesPublished: June 12, 2017

Abstract

Sensor nodes of wireless sensor networks are deployed in open environments. Hence, an attacker can easily compromise the node. An attacker can compromise a node to generate false reports and inject them into the network. This causes unnecessary energy consumption associated with the process of transmitting false alarm messages and false data reports to the system. If the attacker keeps repeatedly attacking, the attacks will cause problems such as a reduction in the entire network life or disabling of the networks. Yu and Guan proposed a dynamic en-route filtering scheme to detect and drop these false reports before they reach the base station. In dynamic en-route filtering, the energy waste of the intermediate nodes occurs until it is detected early. In this paper, we propose a method to save the energy of the intermediate nodes by searching for the compromised node and blocking the reports generated at that node. When verifying a false report at the verification node, it can know its report information. The base station is able to find the cluster of compromised nodes using that information. In particular, by knowing the location of the node that has been compromised, we can block false alarms and energy losses by blocking reports generated in that cluster.

Keyphrases: False report injection attack, Statistical En-route Filtering scheme, Wireless Sensor Network

In: Rajkumar Buyya, Rajiv Ranjan, Sumantra Dutta Roy, Mehul Raval, Mukesh Zaveri, Hiren Patel, Amit Ganatra, Darshak G. Thakore, Trupti A. Desai, Zankhana H. Shah, Narendra M. Patel, Mukesh E. Shimpi, Rajiv B. Gandhi, Jagdish M. Rathod, Bhargav C. Goradiya, Mehfuza S. Holia and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Computing, vol 2, pages 151--157

Links:
BibTeX entry
@inproceedings{ICRISET2017:Compromised_Cluster_Detection_Method,
  author    = {Jung Sub Ahn and Dongjin Park and Tae Ho Cho},
  title     = {A Compromised Cluster Detection Method in Dynamic En-route Filtering Utilizing False Reports of Wireless Sensor Networks},
  booktitle = {ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Computing},
  editor    = {Rajkumar Buyya and Rajiv Ranjan and Sumantra Dutta Roy and Mehul Raval and Mukesh Zaveri and Hiren Patel and Amit Ganatra and Darshak G. Thakore and Trupti A. Desai and Zankhana H. Shah and Narendra M. Patel and Mukesh E. Shimpi and Rajiv B. Gandhi and Jagdish M. Rathod and Bhargav C. Goradiya and Mehfuza S. Holia and Dharita K. Patel},
  series    = {Kalpa Publications in Computing},
  volume    = {2},
  pages     = {151--157},
  year      = {2017},
  publisher = {EasyChair},
  bibsource = {EasyChair, http://www.easychair.org},
  issn      = {2515-1762},
  url       = {https://easychair.org/publications/paper/ZmM},
  doi       = {10.29007/sx5j}}
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