Introduction
A thorough analysis of the literature on Advanced Persistent Threats (APTs), their behavior, and detection techniques can be found in the paper “A Systematic Literature Review on Advanced Persistent Threat Behaviors and its Detection Strategy” by Nur Ilzam Che Mat et al. This essay offers an improved strategy that combines vulnerability evaluations with multi-stage attack behaviors, while also critically analyzing the state-of-the-art APT detection techniques. The study emphasizes the necessity for more advanced detection methods as well as the increasing complexity of APTs.
Social Sciences Principles
By examining the effects of cybersecurity threats, especially APTs, on society, the research connects to the tenets of the social sciences. Understanding human behavior, social vulnerabilities, and the societal repercussions of breaches, particularly in key infrastructure like electricity grids, is an integral part of cybersecurity, which goes beyond simple technical knowledge. APTs attack these social infrastructures, having an impact on a number of different industries. This fits with the social sciences’ emphasis on safeguarding the welfare of the general public and comprehending society processes.
Research Issues and Theories
The investigation of efficient techniques for identifying APTs is motivated by a number of research concerns. The main research issue is: How can vulnerability assessments and APTs’ multi-stage structure be combined to improve detection strategies? The authors also want to discuss the shortcomings of the present detection techniques in detecting Advanced Persistent Threats (APTs) and how early detection may be enhanced by the connection between APT actions and network vulnerabilities.
Methods of Research
The PRISMA framework served as the authors’ guidance for their systematic literature review (SLR) technique. In order to obtain information on current APT detection methods, they carried out a thorough analysis of academic and commercial sources. The screening, eligibility evaluations, and inclusion of research focusing on multi-stage APT behaviors were all part of the review process. This methodical technique made sure that just the most pertinent research was examined.
Information and Evaluation
Academic databases and business publications provided the data for this evaluation, which covered studies released between January 2015 and April 2022. The investigations were grouped into four key topics by the authors in order to synthesize the data: case-based approaches, structural methods, similarity-based methods, and causal correlation-based methods. Significant gaps in current APT detection systems were found by the data analysis, especially when it came to the relationship between APT actions and network vulnerabilities.
Connection to PowerPoint Ideas
This article clearly illustrates concepts from the PowerPoint presentations, such as the value of multidisciplinary methods in addressing cybersecurity concerns. The study combines a deeper comprehension of the relationship between attack behaviors and organizational vulnerabilities with technical elements of cybersecurity. This is a reflection of the multidisciplinary character of cybersecurity, which calls for the integration of technological expertise with an awareness of organizational and psychological issues.
Difficulties Faced by Marginalized Groups
The article discusses how APTs frequently target crucial infrastructure that delivers essential services, which touches on topics that are important to disadvantaged communities. Underprivileged populations that depend on public services like energy, healthcare, and transportation may be disproportionately impacted by these attacks. Cybersecurity is also a social justice concern as APT attacks on these infrastructures have the potential to worsen inequality by interfering with services that are essential to disadvantaged groups.
Contributions to the Community
The study’s suggestion of a more robust APT detection technique that can potentially protect vital infrastructure represents its overall contribution to society. The suggested strategy is to lessen the impact of APT attacks on society by improving detection methods, guaranteeing that vital services are shielded from online dangers. This is especially important for preserving social order and safeguarding public safety.
Conclusion
In conclusion, the article by Nur Ilzam Che Mat et al. offers valuable insights into the detection of APTs, highlighting the importance of integrating vulnerability assessments with multi-stage attack behaviors. By providing a more focused and tailored approach to APT detection, this study contributes to the ongoing efforts to protect critical infrastructure and mitigate the societal risks posed by cyber threats.
References
Che Mat, N. I., Jamil, N., Yusoff, Y., & Kiah, M. L. M. (2024). A systematic literature review on advanced persistent threat behaviors and its detection strategy. Journal of Cybersecurity, 10(1). https://academic.oup.com/cybersecurity/article/10/1/tyad023/7504935