Conference

Information security risk reduction based on genetic algorithm.

Bibliographic Details
Title: Information security risk reduction based on genetic algorithm.
Authors: Tamjidyamcholo, Alireza
Source: Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare & Digital Forensic (CyberSec); 1/ 1/2012, p122-127, 6p
Abstract: Nowadays, information systems comprise a crucial part of organizations; by losing security, these organizations will lose plenty of competitive advantages as well. The core point of information security (InfoSecu) is risk management. There are a great deal of research works and standards in security risk management (ISRM) including NIST 800-30 and ISO/IEC 27005. However, only few works of research focus on InfoSecu risk reduction, and while the standards explain general principles and guidelines, they do not provide any implementation details regarding ISRM. Reducing the InfoSecu risks in uncertain environments is painstaking. Thus, this paper applied a genetic algorithm (GA) for InfoSecu risk reduction in uncertainty. Finally, the effectiveness of the applied method was verified through an example. [ABSTRACT FROM PUBLISHER]
Copyright of Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare & Digital Forensic (CyberSec) is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
DOI: 10.1109/CyberSec.2012.6246088
Database: Complementary Index