Alexander Trevino
Professor Umphlet
CYSE 201S
August 1, 2024
Using Social Sciences as a Security Analyst
As a passionate college student embarking on a cybersecurity career, I’m discovering just
how vital it is to combine technical skills with social sciences. The role of a security analyst isn’t
just about understanding systems; it’s about understanding people.
For instance, insights from psychology can help create user-friendly systems that reduce
human error. Surveys can reveal employees’ attitudes towards cybersecurity, leading to more
effective training programs. Experiments, though rare, can test the effectiveness of different
security measures.
Psychological principles are essential in mitigating risks related to human behavior.
Recognizing cognitive biases helps in designing better security protocols. The concept of
“Psyber Security” uses psychological insights to promote safer cyber behaviors. Traits like low
self-control and sensation-seeking behavior are linked to risky cybersecurity actions. By
identifying these traits in employees, analysts can tailor interventions to reduce cyber incidents.
Understanding determinism, which suggests behavior is influenced by previous events,
helps analysts find the root causes of cyber incidents, guiding preventive measures and policies.
Ethical neutrality ensures that security policies are based on evidence rather than biases.
Maslow\u2019s hierarchy of needs can be applied to cybersecurity, showing that digital safety
is crucial for individuals’ security needs. This understanding helps develop security measures that
protect data and enhance overall well-being. Analysts must also consider the impact of
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cybersecurity policies on marginalized groups, who often face higher risks and have unique
needs. Social science research can uncover these disparities, leading to inclusive and effective
security measures.
The interdisciplinary nature of cybersecurity is highlighted in the emerging field of social
cybersecurity. Kathleen Carley discusses this in “Social Cybersecurity: An Emerging Science,”
which integrates computational social science techniques to counter cyber threats. This approach
emphasizes social network analysis, data science, and machine learning to understand and
mitigate influence campaigns on social media.
Myriam Dunn Cavelty and Andreas Wenger explore the political dimensions of
cybersecurity in “Cyber Security Meets Security Politics: Complex Technology, Fragmented
Politics, and Networked Science.” They show how cyber incidents have become more expensive,
disruptive, and politicized, highlighting the evolution of cybersecurity research and policies and
emphasizing the interplay between technology and politics.
In addition, Kathleen Carley’s work on ResearchGate, “Social Cybersecurity: An
Emerging Science,” underscores the importance of social science principles in understanding and
mitigating cyber threats, focusing on human behavior and social dynamics.
By combining insights from various social science disciplines, security analysts can
better understand human factors, design effective interventions, and develop inclusive security
policies. This interdisciplinary approach enhances the effectiveness of cybersecurity measures,
ensuring they are fair and responsive to the needs of all societal groups.
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References
Carley, Kathleen M. “Social Cybersecurity: An Emerging Science.” Computational and
Mathematical Organization Theory, vol. 26, no. 1, 2020, pp. 4-18. SpringerLink,
doi:10.1007\/s10588-020-09322-9.
Dunn Cavelty, Myriam, and Andreas Wenger. “Cyber Security Meets Security Politics:
Complex Technology, Fragmented Politics, and Networked Science.” Contemporary Security
Policy, vol. 40, no. 3, 2019, pp. 287-292. Taylor & Francis Online,
doi:10.1080\/13523260.2019.1678855.
Carley, Kathleen M. “Social Cybersecurity: An Emerging Science.” ResearchGate, 2020,
ResearchGate.<\/p>\n","protected":false},"excerpt":{"rendered":"
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