An agent-based approach for building an intrusion detection system

Ioniţă, Irina; Ioniţă, Liviu

doi:10.1109/roedunet.2013.6714184

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…The first one represents the algorithms related to the mining parts (MiningAlgorithm) (e.g. Fowler & Hammell (2015), Ioniţȃ & Ioniţȃ (2013)). These algorithms were classified according to their objective: Extraction (i.e.…”

Section: Cq4 -Which Are the Approaches (Model Architecture Technique And So On) Used In Agent Mining?mentioning

confidence: 99%

“…For example, in Gorodetsky (2013) a multi-agent architecture is proposed for anomaly detection, including two agents: Agent of network traffic-based Alert (NTAagent) and Alert Correlation agent (AC-agent). Another example of MultiAgentSystem is in Ioniţȃ & Ioniţȃ (2013) where several agents contribute to the DM process (IDS Data Gathering Agent, Classification Agent, Decision/Action Agent, Alarm Generation Agent, Configuration Agent). The interaction method can be specified according to defined communication (AgentCommunication), coordination (AgentCoordination) and/or organization (AgentOrganisation) structures (see Figure 6).…”

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confidence: 99%

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Agent mining approaches: an ontological view

Strugeon

Oliveira

Zekri

et al. 2021

The Knowledge Engineering Review

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Introduced as an interdisciplinary area that combines multi-agent systems, data mining and knowledge discovery, agent mining is currently in practice. To develop agent mining applications involves a combination of different approaches (model, architecture, technique and so on) from software agent and data mining (DM) areas. This paper presents an investigation of the approaches used in the agent mining systems by deeply analyzing 121 papers resulting from a systematic literature review. An ontology was defined to capitalize the knowledge collected from this study. The ontology is organized according to seven main facets: the problem addressed, the application domain, the agent-related and the mining-related elements, the models, processes and algorithms. This ontology is aimed at providing support to decisions about agent mining application design.

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Section: Cq4 -Which Are the Approaches (Model Architecture Technique And So On) Used In Agent Mining?mentioning

confidence: 99%

mentioning

confidence: 99%

Agent mining approaches: an ontological view

Strugeon

Oliveira

Zekri

et al. 2021

The Knowledge Engineering Review

View full text Add to dashboard Cite

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“…The results obtained by testing a prototype of the proposed approach showed that their system is able to manage and mitigate some common vulnerability issues of power grid automation systems [44]. Ionita and Ionita (2013) proposed a multi intelligent agent based approach for network intrusion detection using data mining [47].…”

Section: Intelligent Agent Applicationsmentioning

confidence: 99%

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Dilek¹,

Çakır²,

Aydin³

2015

IJAIA

127

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With the advances in information technology (IT) criminals are using cyberspace to commit numerous cyber crimes. Cyber infrastructures are highly vulnerable to intrusions and other threats. Physical devices and human intervention are not sufficient for monitoring and protection of these infrastructures; hence, there is a need for more sophisticated cyber defense systems that need to be flexible, adaptable and robust, and able to detect a wide variety of threats and make intelligent real-time decisions. Numerous bio-inspired computing methods of Artificial Intelligence have been increasingly playing an important role in cyber crime detection and prevention. The purpose of this study is to present advances made so far in the field of applying AI techniques for combating cyber crimes, to demonstrate how these techniques can be an effective tool for detection and prevention of cyber attacks, as well as to give the scope for future work.

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