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In addition to jammer intrusion detection, jamming detection is also carried out in this paper.
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Therefore, in this paper, the main idea is both jammer intrusion detection and jamming detection in the cluster-based wireless sensor networks.
throughout this paper, jammer detection refers to (i) jammer intrusion detection and (ii) jamming detection.
Accurate detection of jamming attacks based on single detection parameter is not too accurate [1].
The detection of jamming based on PDR in consistence with signal strength and location is discussed in [1].
Therefore, the proposed JDF comprises two components: verification and validation algorithm for jammer intrusion detection and auditing algorithm for jamming detection within the cluster member.
In the existing literature [7 10], various jamming detection approaches are proposed for detecting jamming in the wireless sensor networks.
The main idea of the JDF is to perform both jammer intrusion detection by using verification and validation, and jamming detection using auditing.
Jamming detection and jamming classification are different modules in the auditing algorithm.
The jamming detection mechanism used packets dropped per terminal and signal-to-noise ratio or bad packet ratio as jamming detection metrics to detect whether a node is affected due to jammer or not [8].
In this paper, the capability of full-duplex communications is leveraged to propose novel mechanisms such as full duplex carrier sensing, collision detection, and collision jamming.
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