Article Review #1 and AI & Cybercrime

Jazmine Curry

Old Dominion University

CYSE201S

Mr.Yalpi

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Principle of Social Science

One important area of social science is criminology. The article focuses on the ways that AI can be used to commit cybercrime, including developing advanced malware, automating attacks, and increasing fraud. It is related to criminology’s concern about emerging criminal cultures, cybercriminals incentives, and how AI changes crime trends. Significant “ethical” questions are brought up by AI and cybercrime, such as the responsibility of those who create AI when their technology is utilized for criminal activities. The discussion would focus on moral issues such as accountability, whether AI systems should be held responsible for their deeds, and how criminals’ use of AI undermines current moral frameworks. Sociology and politics study how societies deal with challenges to security and preserve order. Cybercrime destroys trust, and security, and the employment of AI in such crimes increases these dangers. This topic examines how AI makes it more difficult for law enforcement to identify, stop, and react to cybercrime. From the standpoint of social science, it has to do with the requirement for new institutions and social control systems to handle these technological risks to social order.

Research Questions/Hypothesis

 Some hypotheses that I got from the article include: The involvement of AI in cybercrime will result in a rise in the level of sophistication and quantity of cyberattacks. When using AI-based cybersecurity technologies instead of more conventional techniques, cybercrime detection and avoidance can be greatly enhanced. Potential research questions from the article are: “In what way can AI be applied in real time to identify and react to cybercrimes?”, “What defenses against AI intelligence-enhanced cyber attacks can be created?.” 

Research Methods 

Survey research was used in the article to recognize the experiences, willingness, and awareness levels of different individuals in the fight against cybercrime facilitated by AI. Literature review was also another one used to give a basic overview of the ways in which AI is being employed in cybercrime and the possible defenses.

Data and Analysis 

Malware analysis of harmful software using AI approaches, like machine learning frameworks or adaptive algorithms, to determine how they work and what kind of effects they might have. Data on Network Traffic flows are monitored and analyzed to spot variations or possibly dangerous AI-driven activity.

Concerns/Challenges

It’s possible that many underprivileged populations do not have enough access to cybersecurity resources and knowledge. Due to their lack of knowledge, they are more susceptible to being taken advantage of by cybercriminals who automated attacks and mislead victims through the use of AI technologies and this could be challenged by limited access to resources. Automation of assaults like malware and phishing schemes might result from the usage of AI in cybercrime, which makes it simple for criminals to target people who are at risk. This is a concern as if marginalized communities can effectively defend themselves against more sophisticated threats.

Societal Contributions

Identifying emerging threats and trends through research can assist in identifying potential new threats to society by examining patterns in AI-related crimes. This may involve patterns in attacks involving ransomware or the illegal usage of fakes in the media. Societal impact is by 

understanding businesses, organizations, and people can prepare and modify their cybersecurity strategy by having a clear understanding of these trends. Understanding AI’s role in cybercrime sheds light on the ways in which automated assaults, phishing schemes, and identity theft are made possible by artificial intelligence. By clarifying these techniques, it brings attention to the ways in which hackers are changing their strategies. Raising awareness can assist people and organizations in recognizing the hazards and taking the necessary safety measures.

https://vc.bridgew.edu/cgi/viewcontent.cgi?article=1187&context=ijcic

References

Shetty, S. (2024, September). International Journal of Cybersecurity Intelligence & Cybercrime. Investigating the Intersection of AI and Cybercrime: Risks, Trends, Investigating the Intersection of AI and Cybercrime: Risks, Trends, and Countermeasures, 53. https://vc.bridgew.edu/cgi/viewcontent.cgi?article=1187&context=ijcic