Erratum: Ensemble-Distributed Approach in Classification Problem Solution for Intrusion Detection Systems

Bukhtoyarov, V. V.; Жуков, В Г

doi:10.1007/978-3-319-10840-7_60

Cited by 2 publications

(4 citation statements)

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“…Heuristics and meta-heuristics methods are still implemented in several works, which are generally based on greedy algorithm: [64], and genetic algorithms [28,91]. Also, the combination of heuristic and meta-heuristic methods and machine learning techniques was considered, such as in [28]. Such approaches allowed security systems to be more accurate and more efficient.…”

Section: Discussion Open Issues and Recommendationsmentioning

confidence: 99%

“…Machine learning techniques are still extensively used in many recent work, and that given the great potential of these techniques to address the problems inherent in IDS and CIDS. The most used ML techniques are: Neural Networks [28,165,166], Bayesian Networks [152,64], SVM [177,188], Decision Trees [50,177], and Deep Learning [109].…”

Section: Discussion Open Issues and Recommendationsmentioning

confidence: 99%

“…Bukhtoyarov and Zhukov in [28] present a distributed architecture of IDS which use ensembles of neural networks. The implemented system uses a probabilistic approach for the generation of a neural network on every node of a network.…”

Section: A Neural Networkmentioning

confidence: 99%

“…The work of Bukhtoyarov and Zhukov [28] presents a CIDS that uses ensembles of neural networks, which are combined using genetic programming (GP). The experimental results demonstrate that the proposed GP-based systems offers high performances.…”

Section: Meta-heuristicsmentioning

confidence: 99%

See 3 more Smart Citations

A Survey on Multi-Agent Based Collaborative Intrusion Detection Systems

Bougueroua

Mazouzi

Belaoued

et al. 2021

Journal of Artificial Intelligence and Soft Computing Research

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Multi-Agent Systems (MAS) have been widely used in many areas like modeling and simulation of complex phenomena, and distributed problem solving. Likewise, MAS have been used in cyber-security, to build more efficient Intrusion Detection Systems (IDS), namely Collaborative Intrusion Detection Systems (CIDS). This work presents a taxonomy for classifying the methods used to design intrusion detection systems, and how such methods were used alongside with MAS in order to build IDS that are deployed in distributed environments, resulting in the emergence of CIDS. The proposed taxonomy, consists of three parts: 1) general architecture of CIDS, 2) the used agent technology, and 3) decision techniques, in which used technologies are presented. The proposed taxonomy reviews and classifies the most relevant works in this topic and highlights open research issues in view of recent and emerging threats. Thus, this work provides a good insight regarding past, current, and future solutions for CIDS, and helps both researchers and professionals design more effective solutions.

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Section: Discussion Open Issues and Recommendationsmentioning

confidence: 99%