International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 12, December 2013 Edition [ISSN 2250-3153]

Evolutionary Fuzzy based System for Detecting Malicious Web Pages
      S.Chitra, K.S.Jayanthan and S.Preetha
Abstract: Internet became a platform for fast communication and information transactions. Web pages undergo constant dynamic transformations. Due to this reason, it has become attackers preferred pathway for installing illicit products. It also made the intruders to use World Wide Web to hack or attack a client’s system. Malwares may be installed to the target system to disclose the user information. Malicious web pages are created using code attacks, finding system vulnerabilities and other methods. It contains potential threats. Number of web pages and malicious content in it, is increasing proportionally. Thus, it requires a large security concern in the Internet. Various approaches have been made to detect maliciousness. Evolutionary computation reached its top notch in recent years. Fuzzy systems are used in solving issues in various application domains. This paper proposes a novel approach using genetically evolved Fuzzy rules. Every web page contains its own features which may differ for a malicious web page. Using this factor, the system is implemented.

Reference this Research Paper (copy & paste below code):

S.Chitra, K.S.Jayanthan and S.Preetha (2018); Evolutionary Fuzzy based System for Detecting Malicious Web Pages; Int J Sci Res Publ 3(12) (ISSN: 2250-3153).
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