FUZZY DATA MINING AND GENETIC ALGORITHMS APPLIED TO INTRUSION DETECTION

By Susan M. Bridges. 2002

295 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3b03834a2fe14afd8cc0b77a62dcf6b92b25dbce

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Citations in the corpus

An overview of anomaly detection techniques: Existing solutions and latest technological trends (2007, methodology): “[52], the concept of security itself is fuzzy.”
Random-Forests-Based Network Intrusion Detection Systems (2008, background): “tensively such as fuzzy data mining and genetic algorithms [24], neural networks [11], [26], and SVM [30].”
The use of computational intelligence in intrusion detection systems: A review (2010, methodology): “suggested the use of fuzzy association rules and fuzzy sequential rules to mine normal patterns from audit data [42,43].”
Traffic Anomaly Detection Using K-Means Clustering (2007, background): “In [10], [16], the usage of fuzzy association rules and fuzzy frequent episodes is proposed.”
A Survey of Random Forest Based Methods for Intrusion Detection Systems (2018, background): “For example, Buczak and Guven (2016) provide two paragraphs for a Random Forest review and cite three works which use this method.”
An Implementation of Intrusion Detection System Using Genetic Algorithm (2012, methodology): “GAs used to select required features and to determine the optimal and minimal parameters of some core functions in which different AI methods were used to derive acquisition of rules [9][10][11].”
A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier (2012, background): “…problem, including rule-based detection (Lunt, 1989), neural networks (Cannady, 1998; Lippmann & Cunningham, 2000; Zhang, 2001), fuzzy logic (Bridges & Vaughn, 2000), the hidden Markov model (Bo, Hui-Ye, & Yu-Hang, 2002), the random forest model (Zhang, Zulkernine, Haque, 2008), data…”
The AI-Based Cyber Threat Landscape (2020, background): “From this perspective, even if the progress of research on the application of AI to defend against cyber attacks already started many years ago [12], there is still uncertainty about how to defend against AI being used as a malicious tool.”