Immune Multi-agent Active Defense Model for Network Intrusion

Liu, Sunjun; Li, Tao; Diangang, Wang; Kui, Zhao; Gong, Xun; Hu, Xiaoqing; Chun, Xu; Liang, Gang

doi:10.1007/11903697_14

Cited by 7 publications

(8 citation statements)

References 6 publications

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“…Distributedness in the discussed systems are implemented through two methods, namely distributing the IDS in various hosts as in Machado et al (2005), Luther et al (2007), Yang et al (2009) and Ahmedi and Maleki (2008) where all the tasks and information are shared by the different systems in the network. The second method involves agents moving through the various hosts in the network collecting and sharing information among themselves as in Liu et al (2006Liu et al ( , 2007, Hu et al (2007), Boukerche et al (2007), Hilker (2008), Zhongmin et al (2007) and Yeom and Park (2005). While in the system by Okamoto and Ishida (2007), all systems in a LAN generate agents and are shared with all other computers.…”

Section: Distributedmentioning

confidence: 97%

“…Agents in the AIS learn to detect self and non-self through negative selection (Harmer et al 2002;Zhang et al 2005;Okamoto and Ishida 2007;Zhongmin et al 2007;Luther et al 2007;Ahmedi and Maleki 2008;Le Boudec and Sarajanovic 2004;Yeom and Park 2005;Byrski and Carvalho 2008), clonal selection (Machado et al 2005;Boukerche et al 2007;Gong et al 2006a,b,c;Liu et al 2006;Hu et al 2007;Yang et al 2009), danger theory (Hilker 2008;Greensmith et al 2008), or artificial immune networks (Watanabe and lshida 2004;Aickelin et al 2004). …”

Section: Learningmentioning

confidence: 98%

“…Boukerche et al (2007) have implemented and designed a model to differentiate among attacks, security violations, and several other security levels, while Gong et al (2006a,b,c) define three kinds of agents: monitoring agents (MoA), communicator agents (CoA) and beating off agents (BoA) for performing various tasks at different levels of the IDS where CoA's coordinate the communication among agents. The IDS by Liu et al (2006Liu et al ( , 2007, Hu et al (2007) employ Local Monitor Agent which analyzes the state of the local area network, while Central Monitor Agent surveils the whole network. The system by Ahmedi and Maleki (2008) consists of several set of separated worker agent where each set manage an individual group and they are coordinated by a master agent.…”

Section: Multi Layeredmentioning

confidence: 99%

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Intelligent agent based artificial immune system for computer security—a review

Ramakrishnan¹,

Srinivasan²

2009

Artif Intell Rev

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Since its introduction in the 1990s the internet has proliferated in the life of human kind in many numbers of ways. The two by-products of the internet are intelligent agents and intrusions which are far away from each other in the intention of their creation while similar in their characteristics. With automated code roaming the network intruding the users on one side as worms, viruses, and Trojans and autonomous agents tending to help the users on the other side, the internet has given great research challenges to the computer scientists. The greatest challenge of the internet is intrusion, which has increased and never decreased. There are various security systems for the internet. As the Human Immune System protects human body from external attacks, these security systems tend to protect the internet from intruders. Thus the internet security systems are comparable with human immune systems in which autonomous cells move throughout the body to protect it while learning to tackle new threats and keeping them in their memory for the future. These properties are comparable with that of autonomous agents in the internet. Thus intelligent agent technology combined with ideas from human immune system is a great area of research which is still in its developing phase. In this paper, state of the art of security systems which use both these technologies of intelligent agents and artificial immune system i.e., Agent Based Artificial Immune System (ABAIS) for security are reviewed, paying special attention to features of human immune system used in the system, the role of the agents in the ABAIS and the security mechanisms provided against intrusions.

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Section: Distributedmentioning

confidence: 97%

Section: Learningmentioning

confidence: 98%

Section: Multi Layeredmentioning

confidence: 99%

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Intelligent agent based artificial immune system for computer security—a review

Ramakrishnan¹,

Srinivasan²

2009

Artif Intell Rev

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“…Set U={0,1}L (L>0), and Ag ⊂ U, and the set U can be divided into self and notself. The self indicates normal network behavior; on the other hand, notself indicates the abnormal network [16].…”

Section: Immune Components Descriptionmentioning

confidence: 99%

“…Another architecture is proposed by Sunjun, the Immune Multi-agent Active Defense Model for Network Intrusion (IMMAD) in 2006 [16]. This model is built for monitoring multilayer of network, by a set of agents that communicate and cooperate at different levels.…”

Section: Related Workmentioning

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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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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Agent-Based Artificial Immune Systems (ABAIS) for Intrusion Detections: Inspiration from Danger Theory

Wang

2013

Agent and Multi-Agent Systems in Distributed Systems - Digital Economy and E-Commerce

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Immune Multi-agent Active Defense Model for Network Intrusion

Cited by 7 publications

References 6 publications

Intelligent agent based artificial immune system for computer security—a review

Intelligent agent based artificial immune system for computer security—a review

An Immune Agents System for Network Intrusions Detection

Agent-Based Artificial Immune Systems (ABAIS) for Intrusion Detections: Inspiration from Danger Theory

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