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

  • Affiliations:

  • 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

  • Venue:
  • International Journal of Information and Computer Security
  • Year:
  • 2013

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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.