A Novel Approach for Social Network Analysis & Web Mining for Counter Terrorism

Abstract-Terrorists and extremists are increasingly utilizing Internet technology as an effective mode to enhance their ability to influence the outside world. Lack of multilingual and multimedia terrorist/extremist collections and advanced analytical methodologies; limit our experiential understanding of their Internet usage. To address this research gap, we explore an integrated approach for identifying and collecting terrorist/extremist Web contents and to discover hidden relationships among communities. It has been shown in the literature that content analysis gives more insight of technical sophistication, content richness; whereas the link analysis focuses on the web interactivity. A dark web attribute system has made the sincere effort on identifying and comparing terrorist website with genuine web sites by using content and link analysis still there is scope in the same area as proposed in [1]. This proposed work focuses on identifying & analyzing new web page attributes. It is aimed to compare different terrorist/extremist sites with genuine sites and accordingly prepare metrics which can be further used for identification of other sites of terrorist/extremist groups. Also proposed work focus on to visualize and analyze hidden domestic terrorism communities and intercommunity relationships among all web sites in our collection