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Mobile Ad hoc NETworks (MANETs) are well-known to be vulnerable to various attacks due to their lack of centralized control, and their dynamic topology and energy-constrained operation. Much research in securing MANETs has focused on proposals which detect and prevent a specific kind of attack such as sleep deprivation, black hole, grey hole, rushing or sybil attacks. In this paper, the authors propose a generalized intrusion detection and prevention mechanism. They use a combination of anomaly-based and knowledge-based intrusion detection to secure MANETs from a wide variety of attacks.
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