A cooperative intrusion detection system for ad hoc networks

By Yi-an Huang, Wenke Lee. ACM Workshop on Security of ad hoc and Sensor Networks, 2003

619 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/9a39ece5991af04d8689b33a035812d2c10142af

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In Computer Networks and Communications

Citations in the corpus

A Survey on Intrusion Detection in Mobile Ad Hoc Networks (2007, methodology): “Some techniques are proposed to implement on top of the existing protocols [5, 6, 7], others are proposed as independent modules to be added on mobile nodes [1, 3, 4, 14, 16, 24].”
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, background): “In the literature, there is a variety of classifications for attacks towards the WSNs [14], [61], [62], [63], [64], [65], [66], [67].”
Collaborative Security (2015, background): “As presented in Huang and Lee [2003], the feature set can be extracted from one suspicious behavior.”
A Survey of Intrusion Detection Systems in Wireless Sensor Networks (2014, methodology): “Statistical methods for anomaly detection are very well defined in [19] and here an example methodology for the detection of packet dropping attacks is summarized: Forwarding percentage (FP) of node m, is the ratio of forwarded packets by node m over the packets that are transmitted from node M to n”
Decentralized intrusion detection in wireless sensor networks (2005, methodology): “In [2], an IDS model for ad-hoc networks is presented following the behavioral paradigm.”
Classifier ensembles: Select real-world applications (2008, methodology): “Intrusion Detection in Mobile Ad-hoc Networks: The authors of [16,15] applied ensemble methods to intrusion detection in Mobile Ad-hoc NETworks (MANETs) [54,123,124].”
A survey of security issues in mobile ad hoc and sensor networks (2005, background): “In their subsequent work [85] the authors proposed a cooperative IDS based on the previous anomaly detection model, where they have defined rules to be activated whenever some anomaly has been observed.”
ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks (2016, background): “A possible drawback of CONFIDANT is that an attacker may intentionally spread false alerts to other nodes that a node is misbehaving while it is actually a well-behaved node.”