Immunocomputing

Tarakanov, Alexander O.; Skormin, Victor A.; Sokolova, S. P.

doi:10.1007/978-1-4757-3807-0

Cited by 67 publications

(1 citation statement)

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“…Castro and Timmis [14] provided a detailed analysis of the Immune System and a presentation of current AIS algorithms. Tarakanov et al [15] provided an insight into the mathematical basis of immunocomputing. Ishida [16] reviewed immune network models and highlighted the benefits of each approach.…”

Section: Artificial Immune Systemsmentioning

confidence: 99%

A Review of Artificial Immune System Based Security Frameworks for MANET

Jim¹,

Gregory²

2016

IJCNS

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Mobile ad hoc networks (MANETs) are collections of wireless mobile devices that form a communication network with restricted broadcast range, limited resources and without fixed infrastructure. Routing is a critical function in multi-hop MANETs. At the same time, security in MANETsespecially routing security-presents a number of new and interesting challenges. Communication is achieved by relaying data along routes that are dynamically discovered and maintained through collaboration between the nodes. Advances in the field of artificial immune systems provide an opportunity to improve MANET security and performance. Artificial immune systems mimic the functionality of the human immune system wherein there is clear distinction between self and non self and this delineation is important in a MANET where there is no centralized management. The high level of protection provided to the human body by an evolved immune system can be applied as a security feature in MANET. The current security techniques proposed for MANET have varying degrees of success due to the dynamic nature of a MANET. This paper will review different strategies for the application of artificial immune systems to MANETs.

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Section: Artificial Immune Systemsmentioning

confidence: 99%

A Review of Artificial Immune System Based Security Frameworks for MANET

Jim¹,

Gregory²

2016

IJCNS

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The Quaternion Model of Artificial Immune Response

Gong

Jiao

Liu

et al. 2005

Lecture Notes in Computer Science

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Abstract.A quaternion model of artificial immune response (AIR) is proposed in this paper. The model abstracts four elements to simulate the process of immune response, namely, antigen, antibody, rules of interaction among antibodies, and the drive algorithm describing how the rules are applied to antibodies. Inspired by the biologic immune system, we design the set of rules as three subsets, namely, the set of clonal selection rules, the set of immunological memory rules, and the set of immunoregulation rules. An example of the drive algorithm is given and a sufficient condition of its convergence is deduced.

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General Suppression Control Framework: Application in Self-balancing Robots

Lau

2005

Lecture Notes in Computer Science

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Immunocomputing

Cited by 67 publications

References 0 publications

A Review of Artificial Immune System Based Security Frameworks for MANET

A Review of Artificial Immune System Based Security Frameworks for MANET

The Quaternion Model of Artificial Immune Response

General Suppression Control Framework: Application in Self-balancing Robots

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