A Risk Management Framework for Clouds Using Big Data and Security Informatics usingAttack Trees and Hidden Markov Model in Analysis and Prediction of Risks in Social Media …

Abstract

Social media refers to the means of interactions among people in which they create, share, and exchange information and ideas in virtual communities and networks. The growth of Information and Communication Technology (ICT) has resulted in an enormous volume of security related information present on the web largely when it comes to social media networks. Therefore, with the changing face of cyber security, although it is difficult, it was found that detecting the potential cyber-attacks or crimes is possible and feasible with the vast improvements in ICT. Cloud computing uses ICT resources that are delivered as a service over a network which has opened a promising opportunity across the globe thus resulting a greater popularity of e-commerce. The proposed framework is developed to manage risks of social media networks using the attack tree method which is used to model the risk of the system and identify the possible attacking strategies which the adversaries may launch. This paper presents the development of a Risk Management Framework by analysis of social media networks through web intelligence and security informatics using attack tree analysis based on the Hidden Markov Model for information extraction and prediction of risk factors of Social Media Networks.