Models for the Detection of Malicious Intent People in Society

Literature Review

The emergence of smart phone has made the communication more fast and complex. Inexpensive cost of technology and corresponding service encourages users to connect with multiple motives. Service providers analyze different attributes of CDR to identify and evaluate customer base (Bianchi, dOHeureuse, & Niccolini, 2011; Kianmehr & Alhajj, 2009). Marketing professionals discover shift of customers from one product to other. Seungjae et al. devised pricing strategy of product by analyzing calling pattern obtained from CDR (Shin, Park, Lee, & Lee, 1998). Due to easy availability of mobile phones and SIM cards, they are readily used to plan high profile crimes such as kidnappings. It poses a challenging risk if these are being used in secretly. This has caused a rapid growth in research in the field under study. Markus Huber et al. studied socio-technical attacks as large scale spamming on social networking sites where they explored virality of information in destructive sense (Huber, Mulazzani, Schrittwieser, & Weippl, 2010). Integrity of message may be changed and may be made viral by some malicious intent people. They were unable to identify the holistic insight within social network. Mohammad Reza et al. and Sharad Goel et al. observed that it not only the content but structure of social network is also equally responsible for the diffusion of information in network (Faghani, Saidi, & Nguyen; Goel, Anderson, Hofman, & Watts).