Ben Easterday
CYES 201
10 Febuary 2024
Article Review #1 Digital Criminal Investigations in the Era of Artificial Intelligence
How the topic relates to the principles of the social sciences
The area of cybercrime explores the societal consequences and behavioral aspects of
unlawful activities conducted in digital environments, establishing connections with the
fundamental concepts of the social sciences. To understand the complexities of cybercriminal
behavior, an interdisciplinary approach is employed, drawing from several domains of social
science such as sociology, psychology, and criminology (Mehra & Singh, 2023)
The study’s research questions or hypotheses;
The study presumably presents research inquiries aimed at clarifying the motives
underlying cybercriminal acts, the techniques they employ, and the consequences they generate.
These issues may address the factors that motivate individuals to commit cybercrimes, the
efficacy of existing cybersecurity solutions, and the socio-economic consequences of computer
hazards(Mehra & Singh, 2023)
The types of research methods used

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The study may have employed a combination of qualitative research methods, such as
interviews, content analysis, and case studies, together with quantitative approaches, such as
surveys, statistical analysis, and data mining tools. By employing a mixed-methods approach, it
becomes feasible to comprehensively examine the issue of cybercrime. This technique enables
the collection of detailed information about individual experiences, as well as the identification
of broader patterns and trends related with digital crime(Mehra & Singh, 2023)
The types of data and analysis done
Data collection entails the acquisition of information from diverse sources, such as law
enforcement records, victim reports, online forums, and government cyber event statistics.
Thematic coding, descriptive statistics, regression analysis, and network analysis are all
analytical methods that can be employed to uncover concealed patterns, correlations, and causal
connections within the data(Mehra & Singh, 2023).
How concepts from the PowerPoint presentations relate to the article
Honeypots could be used to find and study cybercriminal behavior before it happens,
which fits with the study’s goal of figuring out how complex cybercrime is. By putting honeypots
in networks or systems, researchers can distract cyberattackers from legitimate targets, learn
useful information about attack methods, and test how well current security measures are
working Along with the study’s main goal of learning more about hacking (Rapid7, 2020),
honeypots are also used as research tools to look into malicious behavior and help make defenses
that are stronger.

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How the topic relates to the challenges, concerns and contributions of marginalized groups
Cybercrime poses significant challenges and worries for vulnerable communities. These
groups are more vulnerable to cybercrime and have limited access to cybersecurity resources.
The absence of adequate assistance often faced by vulnerable communities, coupled with the
potential for cybercriminals to disproportionately target them, can worsen the existing
socioeconomic disparities (Jackson et al., 2018).
The overall contributions of the studies to society.
This study has made significant contributions to society by enhancing comprehension of
cyber dangers, formulating policies and intervention strategies to counter digital crime, and
fostering awareness of the socio-economic consequences of cybercrime on individuals and
communities. This study aims to enhance the advancement of more efficient strategies to
safeguard individuals and organizations against digital threats (Mehra & Singh, 2023)
. This is achieved by illuminating the complexities of cybercriminal behavior.
References
Mehra, S., & Singh, A. (2023). View of digital criminal investigations in the era of
artificial intelligence: A comprehensive overview. International Journal of Cyber Criminology,
17(1), 1-23.
https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/189/71
Rapid7. (n.d.). Honeypots. Retrieved February 11, 2024, from
https://www.rapid7.com/fundamentals/honeypots/

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Jackson, K. M., Pukys, S., Castro, A., Hermosura, L., Mendez, J., Vohra-Gupta, S., Padilla, Y.,
& Morales, G. (2018, February). Using the transformative paradigm to conduct a mixed
methods needs assessment of a marginalized community: Methodological lessons and
implications. Evaluation and program planning.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371208/