Predicate based Algorithm for Malicious Web Page Detection using Genetic Fuzzy Systems and Support Vector Machine
S. Chitra, K. S. Jayanthan, S Preetha, Ramakishan Shankar · International Journal of Computer Applications · 2012
In the era of internet, users are keen to discover more in the web.As the number of web pages increases day-by-day malicious web pages are also increasing proportionally.This paper focus on detecting maliciousness in a web page using genetically evolved fuzzy rules.The above formed rules are filtered by Support Vector Machine and finally storing the result in a symbolic knowledge base, with appropriate weightage for each rule.This provides an insight to symbolic and non-symbolic intelligence in malicious web page detection.