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Online Social Networks (OSN) are not only a popular communication and entertainment platform but also a means of self-representation. In this paper, we adopt an interdisciplinary approach combining Open Source Intelligence (OSINT) and user-generated content classification techniques with a user-driven stress test as applied to a Greek community of OSN users. The main goal of the paper is to study...
Social media and Web 2.0 have enabled internet users to contribute online content, which may be crawled and utilized for a variety of reasons, from personalized advertising to behaviour prediction/profiling. One negative case scenario is the political affiliation profiling. Our hypothesis is that this scenario is nowadays realistic, applicable to social media, and violates civil rights, privacy and...
Modern business environments have a constant need to increase their productivity, reduce costs and offer competitive products and services. This can be achieved via modeling their business processes. Yet, even in light of modelling??s widespread success, one can argue that it lacks built-in security mechanisms able to detect and fight threats that may manifest throughout the process. Academic research...
Addressing the insider threat is a major issue in cyber and corporate security in order to enhance trusted computing in critical infrastructures. In this paper we study the psychosocial perspective and the implications of insider threat prediction via social media, Open Source Intelligence and user generated content classification. Inductively, we propose a prediction method by evaluating the predisposition...
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