Energy-efficient intrusion detection system for wireless sensor network based on MUSK architecture

Authors:
Surraya Khanum;Muhammad Usman;Khalid Hussain;Rehab Zafar;Muhammad Sher
Affiliations:
Department of Computer Science, International Islamic University, Islamabad, Pakistan;University Institute of Information Technology, Pir Mehr Ali Shah, Arid Agriculture University, Rawalpindi, Pakistan;Faculty of Computing, Riphah University, Rawalpindi;Department of Computer Science, International Islamic University, Islamabad, Pakistan;Department of Computer Science, International Islamic University, Islamabad, Pakistan
Venue:
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
Year:
2009

Citing 2
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A Framework of Machine Learning Based Intrusion Detection for Wireless Sensor Networks

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Abstract

Wireless Sensor Network (WSN) is usually deployed in hostile and uncontrollable environment. The WSN is vulnerable to security threats due to its hostile nature. There are several static security techniques in order to make WSN secure. These techniques are encryption keys, VPN, firewalls etc. All these techniques provide security from external threats. Additionally, these techniques do not provide strong security mechanism because of limited energy resources of WSN. There is a need of dynamic, real time and energy-efficient security mechanism for WSN. The existing real time security mechanisms are energy and time consuming. We have proposed a dynamic, real time and energy efficient Intrusion Detection System (IDS). Our proposed approach minimizes the security control messages and eliminates the need to update the signatures manually.