<p>Human-based social engineering attacks continue to
grow in popularity, with increasing numbers of cases reported yearly. This can
be accredited to the ease with which common social engineering attacks can be
launched, and the abundance of information available online that attackers can
use against their targets. Current mitigative strategies and awareness
trainings against social engineering attacks incorporate an understanding of
the major factors that influence individual susceptibility to social
engineering attacks. These strategies emphasize an engagement in secure
behaviors and practices, especially with respect to identifying the key
indicators in any form of communication or situation that can classify it as a
social engineering attack. There is also an emphasis on restricting the amount
of information that individuals should share about themselves in workplace
settings. However, these approaches do not comprehensively consider the
different intrinsic motivations that individuals develop to engage in the
protective behaviors necessary to assure their safety against social
engineering attacks, regardless of environment. Individual attitudes and
behaviors about online privacy could hold the key to defending oneself by way
of restricting unwarranted access to associated information online. Psychological
traits and attitudes developed in response to the perception of social
engineering as a threat could act as motivators for engaging in privacy
protective behaviors, which in turn could affect the extent to which an
individual can protect themselves from social engineering attacks. This thesis
investigates the role of privacy protective behaviors in impacting an
individual’s susceptibility to social engineering attacks and the impacts of
specific privacy factors as motivating antecedents to engagement in privacy
protective behaviors.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/17126573 |
| Date | 19 December 2021 |
| Creators | Glaris Lancia Raja Arul (11794286) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Understanding_Susceptibility_to_Social_Engineering_Attacks_Through_Online_Privacy_Behaviors/17126573 |
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