Work

SPICE

Year: 2016

Type: conference-paper

Abstract: End users are prone to insecure cyber behavior that may lead them to compromise the integrity, availability or confidentiality of their computer systems. For instance, replying to a phishing email may compromise an end user's login credentials. Identifying tendency toward insecure cyber behavior is critically important to improve cyber security posture and thesis of this paper is that the susceptibility of end-users to be a victim of a cyber-attack may be predicted using personality traits such as trait anxiety and callousness.

Source: ACM Conference on Data and Application Security and Privacy (CODASPY)

DOI: 10.1145/2857705.2857744

Authors: Anjila Tamrakar, Justin D. Russell, Irfan Ahmed, Golden G. Richard, Carl F. Weems

Institutions: LSU New Orleans, Iowa State University

Language: English

Topic: Information and Cyber Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Award: EAGER: Integrating Cognitive and Computer Science to Improve Cyber Security: Selective Attention and Personality Traits for the Detection and Prevention of Risk