An Immune Multi-agent System for Network Intrusion Detection

Wang, Diangang; Li, Tao; Liu, Sun Jun; Liang, Gang; Kui, Zhao

doi:10.1007/978-3-540-92137-0_48

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Antigens: they are considered in different approaches [7][11] as bit strings extracted from ippackets, including ip address, port number, protocol type. Set U={0,1}L (L>0), and Ag ⊂ U, and the set U can be divided into self and notself.…”

Section: Immune Components Descriptionmentioning

confidence: 99%

“…However, with the networks widening they generate much false alarm, and became less and less reliable to new attack's forms. To overcome difficulties met by these models, new research works are interested in multi-agents systems and immunology principles such as (MAAIS [19], NIDIMA [14], DAMIDAIS [11], IMASNID [7], etc). These systems succeed in decreasing the false alarm rate thanks to the processes employed; namely communication process between the agents and the distinction process between self and not-self.…”

Section: Introductionmentioning

confidence: 99%

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An Immune Agents System for Network Intrusions Detection

Benyettou¹,

Benyettou²,

Boudiaf

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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With the development growing of network technology, computer networks became increasingly wide and opened. This evolution gave birth to new techniques allowing accessibility of networks and information systems with an aim of facilitating the transactions. Consequently, these techniques gave also birth to new forms of threats. In this article, we present the utility to use a system of intrusion detection through a presentation of these characteristics. Using as inspiration the immune biological system, we propose a model of artificial immune system which is integrated in the behavior of distributed agents on the network in order to ensure a good detection of intrusions.We also present the internal structure of the immune agents and their capacity to distinguish between self and not self. The agents are able to achieve simultaneous treatments, are able to auto-adaptable to environment evolution and have also the property of distributed coordination.

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Section: Immune Components Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Immune Agents System for Network Intrusions Detection

Benyettou¹,

Benyettou²,

Boudiaf

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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“…Thus the objective now is to make the intrusion detection systems more intelligent. Some proposed means of achieving such intelligence include use of neural networks, rule-based networks, genetic algorithms, human-like immunology systems [5] and Markov chains.…”

Section: Introductionmentioning

confidence: 99%

“…For example Balasubramaniyam et al [1], have used a hierarchical structure for intrusion detection. There is also immune-based multi-agent intrusion detection system by Wang et al [5]. Ontology based multiagent intrusion detection systems by Isaza et al [6].…”

Section: Introductionmentioning

confidence: 99%

A Temporal Logic Based Approach to Multi-Agent Intrusion Detection and Prevention

Das

Niyogi

2011

IJCNS

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Collaborative systems research in the last decade have led to the development in several areas ranging from social computing, e-learning systems to management of complex computer networks. Intrusion Detection Systems (IDS) available today have a number of problems that limit their configurability, scalability or efficiency. An important shortcoming is that the existing architectures is built around a single entity that does most of the data collection and analysis. This work introduces a new architecture for intrusion detection and prevention based on multiple autonomous agents working collectively. We adopt a temporal logic approach to signature-based intrusion detection. We specify intrusion patterns as formulas in a monitorable logic called EAGLE. We also incorporate logics of knowledge into the agents. We implement a prototype tool, called MIDTL and use this tool to detect a variety of security attacks in large log-files provided by DARPA.

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Towards Smart Advisor’s Framework Based on Multi Agent Systems and Data Mining Methods

Khalilian

2013

Lecture Notes in Electrical Engineering

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An Immune Multi-agent System for Network Intrusion Detection

Cited by 4 publications

References 9 publications

An Immune Agents System for Network Intrusions Detection

An Immune Agents System for Network Intrusions Detection

A Temporal Logic Based Approach to Multi-Agent Intrusion Detection and Prevention

Towards Smart Advisor’s Framework Based on Multi Agent Systems and Data Mining Methods

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