Energy Efficient Distributed Intrusion Detection Architecture using mHEED on Sensor Networks


The KIPS Transactions:PartC, Vol. 16, No. 2, pp. 151-164, Apr. 2009
10.3745/KIPSTC.2009.16.2.151,   PDF Download:

Abstract

The importance of sensor networks as a base of ubiquitous computing realization is being highlighted, and espicially the security is recognized as an important research isuue, because of their characteristics.Several efforts are underway to provide security services in sensor networks, but most of them are preventive approaches based on cryptography. However, sensor nodes are extremely vulnerable to capture or key compromise. To ensure the security of the network, it is critical to develop security Intrusion Detection System (IDS) that can survive malicious attacks from “insiders” who have access to keying materials or the full control of some nodes, taking their charateristics into consideration. In this perper, we design a distributed and adaptive IDS architecture on sensor networks, respecting both of energy efficiency and IDS efficiency. Utilizing a modified HEED algorithm, a clustering algorithm, distributed IDS nodes (dIDS) areselected according to node’s residual energy and degree. Then the monitoring results of dIDSswith detection codes are transferred to dIDSs in next round, in order to perform consecutive and integrated IDS process and urgent report are sent through high priority messages. With the simulation we show that the superiorities of our architecture in the the efficiency, overhead, and detection capability view, in comparison with a recent existent research, adaptive IDS.


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Cite this article
[IEEE Style]
M. H. Kim, J. S. Kim, K. J. Chae, "Energy Efficient Distributed Intrusion Detection Architecture using mHEED on Sensor Networks," The KIPS Transactions:PartC, vol. 16, no. 2, pp. 151-164, 2009. DOI: 10.3745/KIPSTC.2009.16.2.151.

[ACM Style]
Mi Hui Kim, Ji Sun Kim, and Ki Joon Chae. 2009. Energy Efficient Distributed Intrusion Detection Architecture using mHEED on Sensor Networks. The KIPS Transactions:PartC, 16, 2, (2009), 151-164. DOI: 10.3745/KIPSTC.2009.16.2.151.