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Social network theoretic framework for organizational social engineering susceptibility index

  • New Ventures team at M&T Bank

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Social Engineering is an undeniable and pervasive threat to the security of information systems of an organization due to its reliance on social nature of human beings. Social engineering uses dynamic art of manipulating social behavior of human relationships to obtain unauthorized and privileged information. Corporations have pressing need to design and implement reasonable countermeasures and controls to effectively mitigate social engineering attacks. In this paper, we propose a framework for development of social engineering susceptibility index (SESI) that reveals real risks from social engineering attack that an organization's employees are exposed to. Risk managers can compute the SESI index, which is based on social network theory propositions, to understand risk exposure of a critical group of individuals or organizational departments to proactively engage in elevating security measures. The framework equips risk managers with an understanding to design better security decisions and proper policies and measures to reduce risk.

Original languageEnglish
Title of host publicationAssociation for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006
Pages3371-3381
Number of pages11
StatePublished - 2006
Event12th Americas Conference on Information Systems, AMCIS 2006 - Acapulco, Mexico
Duration: Aug 4 2006Aug 6 2006

Publication series

NameAssociation for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006
Volume6

Conference

Conference12th Americas Conference on Information Systems, AMCIS 2006
Country/TerritoryMexico
CityAcapulco
Period08/4/0608/6/06

Keywords

  • Insider attacks
  • Organizational security
  • Social engineering
  • Social network theory
  • Social networks
  • Susceptibility index

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