Using Genetic Algorithm to Minimize False Alarms in Insider Threats Detection of Information Misuse in Windows Environment
Joint Authors
Bin Ahmad, Maaz
Akram, Adeel
Asif, M.
Ur-Rehman, Saeed
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Insider threats detection problem has always been one of the most difficult challenges for organizations and research community.
Effective behavioral categorization of users plays a vital role for the success of any detection mechanisms.
It also helps to reduce false alarms in case of insider threats.
In order to achieve this, a fuzzy classifier has been implemented along with genetic algorithm (GA) to enhance the efficiency of a fuzzy classifier.
It also enhances the functionality of all other modules to achieve better results in terms of false alarms.
A scenario driven approach along with mathematical evaluation verifies the effectiveness of the modified framework.
It has been tested for the enterprises having critical nature of business.
Other organizations can adopt it in accordance with their specific nature of business, need, and operational processes.
The results prove that accurate classification and detection of users were achieved by adopting the modified framework which in turn minimizes false alarms.
American Psychological Association (APA)
Bin Ahmad, Maaz& Akram, Adeel& Asif, M.& Ur-Rehman, Saeed. 2014. Using Genetic Algorithm to Minimize False Alarms in Insider Threats Detection of Information Misuse in Windows Environment. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1044052
Modern Language Association (MLA)
Bin Ahmad, Maaz…[et al.]. Using Genetic Algorithm to Minimize False Alarms in Insider Threats Detection of Information Misuse in Windows Environment. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1044052
American Medical Association (AMA)
Bin Ahmad, Maaz& Akram, Adeel& Asif, M.& Ur-Rehman, Saeed. Using Genetic Algorithm to Minimize False Alarms in Insider Threats Detection of Information Misuse in Windows Environment. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1044052
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044052