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A new ontology‐based multi agent framework for intrusion detection

Publication Type : Journal Article

Publisher : Wiley

Source : International Journal of Communication Systems

Url : https://doi.org/10.1002/dac.3189

Campus : Nagercoil

School : School of Computing

Year : 2016

Abstract : SummaryOntologies play an essential role in knowledge sharing and exploration, especially in multiagent systems. Intrusion is an unauthorized activity in a network, which is achieved by either active manner (information gathering) or passive manner (harmful packet forwarding). Most of the existing intrusion detection system (IDS) suffers from the following issues: it is usually adjusted to detect known service level network attacks and leaves from vulnerable to original and novel malicious attacks. Thus, it provides low accuracy and detection rate, which are the important problems of existing IDS. To overwhelm these drawbacks, an ontology‐based multiagent IDS framework is developed in this work for intrusion detection. The main intention of this work is to detect the network attacks with the help of multiple detection agents. In this analysis, there are 3 different types of agents, ie, IDS broker, deputy commander, and response agent, which are used to prevent and detect the attacks in a network. The novel concept of this work is based on the concept of signature matching; it identifies and detects the attackers with the help of multiple agents.

Cite this Research Publication : Bharathi Retnaswamy, Krishna Kumar Ponniah, A new ontology‐based multi agent framework for intrusion detection, International Journal of Communication Systems, Wiley, 2016, https://doi.org/10.1002/dac.3189

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