DocumentCode
8029
Title
Agent-Based Self-Adaptable Context-Aware Network Vulnerability Assessment
Author
Jiang, Frank ; Daoyi Dong ; Longbing Cao ; Frater, Michael R.
Author_Institution
Sch. of Eng. & IT, Univ. of New South Wales (UNSW), Sydney, NSW, Australia
Volume
10
Issue
3
fYear
2013
fDate
Sep-13
Firstpage
255
Lastpage
270
Abstract
Immunology inspired computer security has attracted enormous attention as its potential impacts on the next generation service-oriented network operation system. In this paper, we propose a new agent-based threat awareness assessment strategy inspired by the human immune system to dynamically adapt against attacks. Specifically, this approach is based on the dynamic reconfiguration of the file access right for system calls or logs (e.g., file rewritability) with balanced adaptability and vulnerability. Based on an information-theoretic analysis on the coherently associations of adaptability, autonomy as well as vulnerability, a generic solution is suggested to break down their coherent links. The principle is to maximize context-situation awared systems´ adaptability and reduce systems´ vulnerability simultaneously. Experimental results show the efficiency of the proposed biological behaviour-inspired vulnerability awareness system.
Keywords
file organisation; multi-agent systems; security of data; service-oriented architecture; ubiquitous computing; agent based self-adaptable context aware network vulnerability assessment; computer security; dynamic reconfiguration; file access; file rewritability; human immune system; information theoretic analysis; next generation service oriented network operation system; Computer security; Intrusion detection; Management information systems; Measurement uncertainty; Multi-agent systems; Next generation networking; Service-oriented architecture; Vulnerability assessment; agent-based system; intrusion detection system (IDS); management information base (MIB); threats awareness analysis;
fLanguage
English
Journal_Title
Network and Service Management, IEEE Transactions on
Publisher
ieee
ISSN
1932-4537
Type
jour
DOI
10.1109/TNSM.2013.090313.120388
Filename
6599023
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