Title :
Integrating Fuzzy Logic and Data Mining: Impact on Cyber Security
Author :
Ansari, A.Q. ; Patki, Tapasya ; Patki, A.B. ; Kumar, V.
Author_Institution :
King Khalid Univ., Abha
Abstract :
Data mining is the search for significant patterns and trends in large databases. Fuzzy logic, on the other hand, provides techniques for handling cognitive issues in the real world. The paper discusses the application of fuzzy logic techniques and data mining practices in cyber security. With the introduction of e-commerce and e- governance applications as well as activity boom in cyber cafes, the pressure is on cyber security monitoring. Although the stream is primarily associated with computer/IT professionals, it is being widely explored by the business and corporate legal community. Existing data mining solutions are not directly adaptable to support e-discovery legal compliance process. We discuss and illustrate the scope of fuzzy logic to circumvent some problems in the cyber crime domain.
Keywords :
data mining; electronic commerce; fuzzy logic; security of data; very large databases; cyber cafes; cyber security; data mining; e-commerce; e-discovery; e-governance; fuzzy logic; large database; legal compliance; Application software; Clustering algorithms; Computer security; Data mining; Data security; Databases; Fuzzy logic; Law; Legal factors; Warehousing;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.365