A revised taxonomy for intrusion-detection systems

By Hervé Debar, Marc Dacier, Andreas Wespi. Ann. des Télécommunications, 2000

396 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a3124bb1457cc5307eaa7c4f2f12c7141fa579eb

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In Biomedical Engineering

In Computer Networks and Communications

In Signal Processing

Citations in the corpus

A survey of network anomaly detection techniques (2016, methodology): “The same authors extended their work to include the detection paradigm as state- or transition-based (Debar et al., 2000).”
A new intrusion detection system using support vector machines and hierarchical clustering (2007, background): “Here, first, we present related work relevant to intrusion detection (extensive survey can be found in [3, 9]), and next, we present related work for the reduction of training time of 508”
Aggregation and Correlation of Intrusion-Detection Alerts (2001, methodology): “Let us look at the example of a network-based probe able to detect attacks against Web servers in the network packets and the Web IDS [ 1 ] probe that looks for signs of attacks in the Web server log files.”
A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges (2021, methodology): “(Debar et al., 2000) surveyed detection methods based on the behaviour and knowledge profiles of the attacks.”
Mining intrusion detection alarms for actionable knowledge (2002, background): “Simultaneously, intrusion detection has emerged as a new and potent approach to protect computer systems [2, 13].”
An Overview of IP Flow-Based Intrusion Detection (2010, methodology): “To limit our scope, we will not consider payload-based methods; readers interested in such methods can refer to existing literature [11], [12], [13], [14], [15].”
Survey of intrusion detection systems: techniques, datasets and challenges (2019, background): “The highly cited survey by Debar et al. (Debar et al., 2000) surveyed detection methods based on the behaviour and knowledge profiles of the attacks.”
Immune system approaches to intrusion detection – a review (2004, methodology): “Here we focus on two ways: the analysis approach and the placement of the IDS, although there have been recent work [10, 35] on alternative taxonomies.”
A survey of intrusion detection techniques for cyber-physical systems (2014, positive): “In this section, we develop a classification tree for organizing existing CPS IDS techniques to identify research gaps in CPS IDS research based on the taxonomy established by [Debar et al. 2000].”
Machine Learning Based Intrusion Detection Systems for IoT Applications (2019, background): “Many solutions for intrusion detection have been proposed in the literature [18, 8, 47, 44, 32, 14] and most of them are dedicated for traditional networking paradigms only, and as far as the literature is concerned, less work has been done towards the development of ML-based intrusion detection…”
Intrusion detection system: A comprehensive review (2013, background): “…1987; Lunt, 1993; Mukherjee et al., 1994; Debar et al., 1999; Axelsson, 2000; Mishra et al., 2004; Krugel and Toth, 2000; Jones and Sielken, 2000; Debar et al., 2000; Mukkamala and Sung, 2003; Estevez-Tapiador et al., 2004; Delgado et al., 2004; Kabiri and Ghorbani, 2005; Anantvalee and Wu,…”