slugAn approach of false misbehaviour removal in wireless sensor network using clonal selection algorithm and change point detection
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 7
Abstract
Security of wireless sensor network becomes crucial key factor in the latest research available in the fast deployment of wireless sensor network. The time interval between an attack detection and corrective action taken by the administrator in a system is usually high and therefore, at the time the administrator notices an attack and takes some suitable action the damage was done by the attacker. Depending on this scenario the need for Intrusion Detection System which can not only detect various types of attacks but also be able to actively respond against malicious activities is required. Intrusion detection is a preemptive approach in a system security which is used to identify malicious activities and respond quickly to mitigate anomalous behaviour. In this research paper we actively proposed a new and efficient approach in intrusion detection by analyzing past approaches proposed in this research area. We define the basics of intrusion detection in wireless network by describing the varieties of attacks and state the motivation for intrusion detection in wireless network. In this paper, we proposes an IDS which is based on watchdog monitoring technique and is able to detect selective forwarding attacks and also able to eliminate the postulates of watchdog algorithm by using change point detection algorithm.
Authors and Affiliations
Phiza Ambreen Khan, Mr. Kailash Patidar, Mr. Gajendra Singh
Keywords
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- EP ID EP18359
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