Unveiling the mysteries of the dark web: A comprehensive graph-based multi-view analysis

There has been an enormous evolution of the Internet and network technologies since the past few decades, alongside the increase in the count of users and their ever increasing demand for preservation of identity and privacy. In order to meet the demand of the users, scientists have come up with the novel thoughts, thereby leading to the evolution of the large portion of the Internet, i.e., the deep Web. Although the demand of the privacy preservation has been solved by the deep Web for some gentle users, but alongside, it has opened up the arena for the accommodation of several unlawful activities, leading to the generation of dark Web. This necessitates in the search of automatic solutions in support of the law and parallel assisting the security agencies for collection of information from dark Web in order to disclose similar activities. In this paper, the authors will present a brief overview of the deep Web and present its features. The main point of focus shall be the issue of knowledge management and how it will be utilized for making a graph-based analysis. The paper concludes with an example of a proposed system for extraction of knowledge.KeywordsIdentityPrivacyDeep WebDark WebKnowledge managementGraph analysis