Abstract
In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) “downward-IDS (D-IDS)” to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) “upward-IDS (U-IDS)” to detect the abnormal behavior of the cluster heads. By using analytical calculations, the optimum parameters for the D-IDS (number of maximum hops) and U-IDS (monitoring group size) of the framework are evaluated and presented.
Highlights
Introduction and Related WorkA group of sensing devices team up to form a wireless network to be named as wireless sensor network (WSN)
We propose security enhancements for WSNs that are deployed in a hierarchical topology
Details of the sequential probability ratio test (SPRT) that is used in our proposed D-intrusion detection system (IDS) and Upwards intrusion detection system (U-IDS) schemes is presented in Section 5.1, whereas
Summary
A group of sensing devices team up to form a wireless network to be named as wireless sensor network (WSN). In a leveled and clustered WSN; the detection of abnormal behaviors of bottom level nodes (sensor nodes) is not enough to detect all of the intrusions of the network This is because of the fact that CHs and upper level clusters may be compromised. In the IDS approaches proposed by [8,9,10], the direction of the alert propagation is from subordinates through CHs, leaving the following question unanswered for the detection part: “What happens if a malicious upper level CH (Level 2) drops the packet that is coming from a member (subordinate) node (Level 1) and is about to alert an upper level CH (Level 3). Our proposed framework is one of a kind; it provides all of the required building steps of an IDS scheme for hierarchical WSNs
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