Danger theory metaphor in artificial immune system for system call data

Artificial Immune System (AIS) is a naive paradigm in biologically inspired computation; artificial neural networks (ANNs) and genetic algorithms (GAs) are among popular examples in this domain. The field of AIS research is vast and complex that demands immense multi-disciplinary efforts. As AIS is...

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Main Author:	Anjum Iqbal, Anjum Iqbal
Format:	Thesis
Language:	English
Published:	2006
Subjects:	QA75 Electronic computers Computer science T Technology (General)
Online Access:	http://eprints.utm.my/id/eprint/1949/1/AnjumIqbalPFC2006.pdf
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id	my-utm-ep.1949
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spelling	my-utm-ep.19492018-06-13T07:05:07Z Danger theory metaphor in artificial immune system for system call data 2006-05 Anjum Iqbal, Anjum Iqbal QA75 Electronic computers. Computer science T Technology (General) Artificial Immune System (AIS) is a naive paradigm in biologically inspired computation; artificial neural networks (ANNs) and genetic algorithms (GAs) are among popular examples in this domain. The field of AIS research is vast and complex that demands immense multi-disciplinary efforts. As AIS is designed on the principles of natural Immune System (IS); so features of immune-inspired computational metaphors reflect features of the immunological theories/phenomena upon which these metaphors are based. In immunology, there are two distinct viewpoints about main goal of IS; self-non-self and danger theory. Most of the existing AIS are based on classical self-non-self perspective. A recent recommendation has initiated some efforts exploring potentials of danger theory (DT) for AIS. A few existing DT based AIS metaphors are not sufficient to justify potentials of the vast field, so more explorations are needed. This study aims to contribute for the domain proposing a novel metaphor DASTON (DAnger Susceptible daTa codON). The effort completes four objectives; framework for abstracting immunology inspired computational metaphor, mechanism for DASTON abstraction, verifying existence of DASTON through benchmark data, and discovering novel biological property bio fitness for computational metaphors. Although, AIS is emerging as general paradigm for wide application area, computer security is its naturally analogous domain. So, exploitation of system call data, having enormous significance in computer security, is a good suggestion for this study. It concludes that; proposed framework is viable for abstracting immuneinspired metaphors, abstracted metaphor DASTON exists in system call data and fulfils proposed test criterion bio-fitness that proves its analogy to basis biological phenomena. The study also proposes a distinctive biological phenomenon danger susceptibility that might provide base for some useful immunological exploration. Hence, this thesis mainly contributes for DT based AIS with partial contributions for computer security, bio-inspired computation, and immunology 2006-05 Thesis http://eprints.utm.my/id/eprint/1949/ http://eprints.utm.my/id/eprint/1949/1/AnjumIqbalPFC2006.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information Systems
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science T Technology (General)
spellingShingle	QA75 Electronic computers Computer science T Technology (General) Anjum Iqbal, Anjum Iqbal Danger theory metaphor in artificial immune system for system call data
description	Artificial Immune System (AIS) is a naive paradigm in biologically inspired computation; artificial neural networks (ANNs) and genetic algorithms (GAs) are among popular examples in this domain. The field of AIS research is vast and complex that demands immense multi-disciplinary efforts. As AIS is designed on the principles of natural Immune System (IS); so features of immune-inspired computational metaphors reflect features of the immunological theories/phenomena upon which these metaphors are based. In immunology, there are two distinct viewpoints about main goal of IS; self-non-self and danger theory. Most of the existing AIS are based on classical self-non-self perspective. A recent recommendation has initiated some efforts exploring potentials of danger theory (DT) for AIS. A few existing DT based AIS metaphors are not sufficient to justify potentials of the vast field, so more explorations are needed. This study aims to contribute for the domain proposing a novel metaphor DASTON (DAnger Susceptible daTa codON). The effort completes four objectives; framework for abstracting immunology inspired computational metaphor, mechanism for DASTON abstraction, verifying existence of DASTON through benchmark data, and discovering novel biological property bio fitness for computational metaphors. Although, AIS is emerging as general paradigm for wide application area, computer security is its naturally analogous domain. So, exploitation of system call data, having enormous significance in computer security, is a good suggestion for this study. It concludes that; proposed framework is viable for abstracting immuneinspired metaphors, abstracted metaphor DASTON exists in system call data and fulfils proposed test criterion bio-fitness that proves its analogy to basis biological phenomena. The study also proposes a distinctive biological phenomenon danger susceptibility that might provide base for some useful immunological exploration. Hence, this thesis mainly contributes for DT based AIS with partial contributions for computer security, bio-inspired computation, and immunology
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Anjum Iqbal, Anjum Iqbal
author_facet	Anjum Iqbal, Anjum Iqbal
author_sort	Anjum Iqbal, Anjum Iqbal
title	Danger theory metaphor in artificial immune system for system call data
title_short	Danger theory metaphor in artificial immune system for system call data
title_full	Danger theory metaphor in artificial immune system for system call data
title_fullStr	Danger theory metaphor in artificial immune system for system call data
title_full_unstemmed	Danger theory metaphor in artificial immune system for system call data
title_sort	danger theory metaphor in artificial immune system for system call data
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information Systems
publishDate	2006
url	http://eprints.utm.my/id/eprint/1949/1/AnjumIqbalPFC2006.pdf
_version_	1747814388912357376

Danger theory metaphor in artificial immune system for system call data

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