The article, “Role of Artificial Intelligence in Cybersecurity” by Arab Mohammad Shamiulla, discusses the alarming rise in cybercrimes and the increased need for artificial intelligence in the cybersecurity field.
The topic of the integration of Artificial Intelligence into cybersecurity is tied to several social science principles. It explores the intersection of technology and society, emphasizes the societal impact of cyber threats, takes a look at the motivations of cybercriminals, and explores how people become victims of cybercrimes.
While the article does not explicitly state a research question, it implicitly addresses the question, “What is the impact of integrating Artificial Intelligence into cybersecurity practices in mitigating cyber threats?” The hypothesis implicitly stated is, “The integration of AI tools enhances the effectiveness of cybersecurity measures, leading to improved cybersecurity and reduced vulnerability to cyberattacks.”
The research method used in this article involves data collection and analysis. The study relies on reports and statistics related to cybercrime incidents and trends. These sources offer insights into the current state of cybersecurity and cyber threats. The collected data undergoes analysis using statistical tools such as measures of central tendency and percentile analysis. These techniques assist in interpreting the data and giving us insights about the state of cybersecurity and the effectiveness of AI-based security measures.
The article used descriptive statistics for its cybercrime incident data. It measured data related to various forms of cybercrimes such as cyber harassment, online fraud, spam, content-related attacks, vulnerability reports, intrusion attempts, and denial of services. The article also used financial data that were related to the revenue generated by cybercrimes, including figures on illegal online markets, trade secret theft, data trading, crimeware, ransomware, and overall cybercrime revenues. For this data, percentile analysis was used to identify trends for different types of attacks.
The article connects to several concepts commonly discussed in classes related to social science and cybersecurity. The paper addresses the critical topic of cybersecurity, a foundational concept in classes related to the protection of computer systems from cyberattacks. The article discusses various forms of cybercrime, including cyber harassment, online fraud, spam, and more. Understanding the types and motivations of cybercrimes is a core topic in classes related to cybersecurity and criminology. It also explores how cyberattacks affect individuals, organizations, and governments.
While not the central focus, the article indirectly relates to the challenges, concerns, and contributions of marginalized groups in several ways. The article highlights the vulnerability of individuals, organizations, and the government to cybercrimes. Cyber threats can impact these groups in ways such as financial losses, identity theft, and other detrimental consequences. The article also emphasizes the contributions of technology, including AI, in helping these marginalized groups fight against cybercrime.
The article contributes to society in several ways. The study sheds light on the role of AI in strengthening cybersecurity measures. The article also raises public awareness about the importance of cybersecurity.
Shamiulla, A. M. (2019). Role of artificial intelligence in cyber security. International Journal of Innovative Technology and Exploring Engineering, 9(1), 4628-4630.
https://www.ijitee.org/wp-content/uploads/papers/v9i1/A6115119119.pdf