Social engineering in social networking sites : affect-based model

Algarni, Abdullah, Xu, Yue, Chan, Taizan, & Tian, Yu-Chu (2013) Social engineering in social networking sites : affect-based model. In Proceedings of the 8th IEEE International Conference for Internet Technology and Secured Transactions (ICITST-2013), The Institute of Electrical and Electronics Engineering, Inc., London, United Kingdom, pp. 508-515.

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Abstract

While social engineering represents a real and ominous threat to many organizations, companies, governments, and individuals, social networking sites (SNSs), have been identified as among the most common means of social engineering attacks. Owing to factors that reduce the ability of users to detect social engineering tricks and increase the ability of attackers to launch them, SNSs seem to be perfect breeding ground for exploiting the vulnerabilities of people, and the weakest link in security. This work will contribute to the knowledge of social engineering by identifying different entities and subentities that affect social engineering based attacks in SNSs. Moreover, this paper includes an intensive and comprehensive overview of different aspects of social engineering threats in SNSs.

Impact and interest:

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4 citations in Web of Science®

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ID Code: 67459
Item Type: Conference Paper
Refereed: Yes
Keywords: Social engineering, Social networking sites, Information security, Trust, Privacy
DOI: 10.1109/ICITST.2013.6750253
ISBN: 978-1-908320-20-9
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems Management (080609)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 The Institute of Electrical and Electronics Engineering, Inc.
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 17 Feb 2014 22:51
Last Modified: 26 Oct 2016 03:20

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