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Method for Detecting Core Malware Sites Related to Biomedical Information Systems
Joint Authors
Choi, Donghee
Kim, Dohoon
Jin, Jonghyun
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Most advanced persistent threat attacks target web users through malicious code within landing (exploit) or distribution sites.
There is an urgent need to block the affected websites.
Attacks on biomedical information systems are no exception to this issue.
In this paper, we present a method for locating malicious websites that attempt to attack biomedical information systems.
Our approach uses malicious code crawling to rearrange websites in the order of their risk index by analyzing the centrality between malware sites and proactively eliminates the root of these sites by finding the core-hub node, thereby reducing unnecessary security policies.
In particular, we dynamically estimate the risk index of the affected websites by analyzing various centrality measures and converting them into a single quantified vector.
On average, the proactive elimination of core malicious websites results in an average improvement in zero-day attack detection of more than 20%.
American Psychological Association (APA)
Kim, Dohoon& Choi, Donghee& Jin, Jonghyun. 2015. Method for Detecting Core Malware Sites Related to Biomedical Information Systems. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057991
Modern Language Association (MLA)
Kim, Dohoon…[et al.]. Method for Detecting Core Malware Sites Related to Biomedical Information Systems. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057991
American Medical Association (AMA)
Kim, Dohoon& Choi, Donghee& Jin, Jonghyun. Method for Detecting Core Malware Sites Related to Biomedical Information Systems. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057991
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057991