Detection and Classification of Social Networking Website Attacks Using WEKA

Abstract

Presently with the increasing demand of internet and its dependency on various applications like Banking, Industries, e-commerce etc. Besides these applications, there is also huge growth in large number of social networking sites so, due to this large number of possible attacks can be on the social networking sites like theft attack, cloning attack etc. Therefore, in this paper, in particular we focus on social networking attack like drive-by download as a new threat has been emerged as on to integrity of computer systems. We have presented methodology that is used for detection and prevention of social networking attacks depend on the features of content like JavaScript, HTML and URL based etc. In this paper, we have developed a new filter for classification of webpages