Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 14, Issue 2


Published
on


Pages

561-570


DOI

Article

Social Engineering in Cyber Security Effect Mechanisms, Human Vulnerabilities and Attack Methods


Authors

Ghouse Basha Affiliation:
DEPARTMENT OF ECE, MALLA REDDY ENGINEERING COLLEGE FOR WOMEN, HYDERABAD
, Thakur Sai Mahitha Affiliation:
DEPARTMENT OF ECE, MALLA REDDY ENGINEERING COLLEGE FOR WOMEN, HYDERABAD
, T. Vishnu Priya Affiliation:
DEPARTMENT OF ECE, MALLA REDDY ENGINEERING COLLEGE FOR WOMEN, HYDERABAD
and Seedhika Patnaik Affiliation:
DEPARTMENT OF ECE, MALLA REDDY ENGINEERING COLLEGE FOR WOMEN, HYDERABAD


Abstract

Social engineering attacks have posed a serious security threat to cyberspace. However, there is much we have yet to know regarding what and how lead to the success of social engineering attacks. This paper proposes a conceptual model which provides an integrative and structural perspective to describe how social engineering attacks work. Three core entities (effect mechanism, human vulnerability and attack method) are identified to help the understanding of how social engineering attacks take effect. Then, beyond the familiar scope, we analyze and discuss the effect mechanisms involving 6 aspects (persuasion, social influence, cognition & attitude& behavior, trust and deception, language &thought &decision, emotion and decision -making) and the human vulnerabilities involving 6 aspects (cognition and knowledge, behavior and habit, emotions and feelings, human nature, personality traits, individual characters), respectively. Finally, 16 social engineering attack scenarios (including 13 attack methods) are presented to illustrate how these mechanisms, vulnerabilities and attack methods are used to explain the success of social engineering attacks. Besides, this paper offers lots of materials for security awareness training and future empirical research, and the model is also helpful to develop a domain ontology of social engineering in cybersecurity.


Keywords

Machine learning, cross-site request forgery, web security


Citation

Basha, G., Mahitha, T. S., Priya, T. V., & Patnaik, S. (2023). Social engineering in cyber security effect mechanisms, human vulnerabilities and attack methods. Turkish Journal of Computer and Mathematics Education, 14(2), 561–570.

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