NDLI: Effective immunization of online networks: a self-similar selection approach

Content Provider	Springer Nature Link
Author	Kim, Byung Cho Jung, Sunghwan
Copyright Year	2013
Abstract	This paper proposes a self-similar selection method as an alternative to existing immunization strategies for online networks. Given the self-similar characteristics of online networks which are shown to have fractal and scale-free structure, we presume that the self-similar selection which is well developed in physics outperforms random or targeted vaccination based on incoming or outgoing connections. We examine the effectiveness of the proposed self-similar selection method with random vaccination and other different types of targeted vaccination strategies in terms of delaying the spread of computer virus over a scale-free computer network constructed using real-world World Wide Web data. Our computer simulation results indicate that the self-similar selection method is more effective in deterring virus propagation than the existing vaccination strategies. In addition, vaccination based on self-similar selection is practical since it does not require detailed information about network morphology at the individual node level, which is often not easy to observe. Our findings have significant implications for both policy makers and network security providers.
Starting Page	257
Ending Page	268
Page Count	12
File Format	PDF
ISSN	1385951X
Journal	Information Technology and Management
Volume Number	14
Issue Number	3
e-ISSN	15737667
Language	English
Publisher	Springer US
Publisher Date	2013-07-19
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Information security Virus propagation Network immunization Self-similar selection Business Information Systems Data Structures, Cryptology and Information Theory Operations Research/Decision Theory Computer Communication Networks Business/Management Science
Content Type	Text
Resource Type	Article
Subject	Business, Management and Accounting Information Systems Communication

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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