DocumentCode
1684090
Title
On Clustering of Risk Mitigation Controls
Author
Nagata, Kiyoshi
Author_Institution
Dept. of Bus. Inf., Daito Bunka Univ., Tokyo, Japan
fYear
2011
Firstpage
148
Lastpage
155
Abstract
In the Information Technology Communication Society, information and its related systems in any organization are exposed to various kinds of risks. The organizations should prepare countermeasures against exposed risks in order to protect their assets and secure their activities´ continuity. Risk evaluation and management systems are effective methods for that purpose, and they usually have several sorts of importance, such as construction of secure information system, ascent of personnel´s consciousness on the information security, etc. On the final stage of a risk management system, after the risk evaluation was done and some serious risks were clarified, the system usually goes on the process of choosing effective and available mitigation controls against each of risks. For that purpose, a database of mitigation controls with values properly related to a type of clarified risk should be set up beforehand. In this paper, we propose a method for giving a kind of property vector to each mitigation control and how to apply fuzzy c-mean clustering to set up the database.
Keywords
fuzzy set theory; information systems; pattern clustering; risk management; security of data; database; fuzzy c-mean clustering; information security; organization; risk evaluation; risk management; risk mitigation; secure information system; Information systems; Information security; fuzzy clustering; mitigation control;
fLanguage
English
Publisher
ieee
Conference_Titel
Network-Based Information Systems (NBiS), 2011 14th International Conference on
Conference_Location
Tirana
ISSN
2157-0418
Print_ISBN
978-1-4577-0789-6
Electronic_ISBN
2157-0418
Type
conf
DOI
10.1109/NBiS.2011.31
Filename
6041915
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