Title: A social dimensional cyber threat model with formal concept analysis and fact-proposition inference

Authors: Anup Sharma; Robin Gandhi; Qiuming Zhu; William R. Mahoney; William Sousan

Addresses: College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA ' College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA ' College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA ' College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA ' College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA

Abstract: Cyberspace has increasingly become a medium to express outrage, conduct protests, take revenge, spread opinions, and stir up issues. Many cyber attacks can be linked to current and historic events in the social, political, economic, and cultural (SPEC) dimensions of human conflicts in the physical world. These SPEC factors are often the root cause of many cyber attacks. Understanding the relationships between past and current SPEC events and cyber attacks can help understand and better prepare people for impending cyber attacks. The focus of this paper is to analyse these attacks in social dimensions and build a threat model based on past and current social events. A reasoning technique based on a novel combination of formal concept analysis (FCA) and hierarchical fact-proposition space (FPS) inference is applied to build the model.

Keywords: cyber threats; attacks models; social factors; formal concept analysis; FCA; fact-proposition space inferences; computer security; threat models; modelling.

DOI: 10.1504/IJICS.2013.058213

International Journal of Information and Computer Security, 2013 Vol.5 No.4, pp.301 - 333

Available online: 10 Dec 2013 *

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