The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Future Trends and Challenges in Cybersecurity and Generative AI
|
|
Author(s): Azeem Khan (University Islam Sultan Sharif Ali, Brunei), Noor Jhanjhi (TUSB, Malaysia), Dayang H. T. B. A. Haji Hamid (University Islam Sultan Sharif Ali, Brunei), Haji Abdul Hafidz B. Haji Omar (University Islam Sultan Sharif Ali, Brunei), Fathi Amsaad (Wright State University, USA)and Sobia Wassan (Jiangsu University, China)
Copyright: 2025
Pages: 32
Source title:
Reshaping CyberSecurity With Generative AI Techniques
Source Author(s)/Editor(s): Noor Zaman Jhanjhi (School of Computing Science, Taylor's University, Malaysia)
DOI: 10.4018/979-8-3693-5415-5.ch014
Purchase
|
Abstract
The chapter presents a comprehensive exploration of the changing dynamics at the intersection between the rapidly growing landscape of the interconnectivity of various devices—the internet of things—and the innovations piloted by advancements in generative artificial intelligence. In the following background-focused analysis, the significance of the enactment of new levels of security details in this fast-growing and virulently expansive landscape is emphasized, with generative AI ultimately serving as the highlight. The conversation consequently shifts to threats. This includes a detailed depiction of new cybersecurity threats rooted in advancements in AI, featuring AI malicious actors and incidents, such as the increasingly popular phenomenon of ransomware-as-a-service as mirror illustrations of the dynamic and multifaceted character of these threats. The class further proceeds to more in-depth detail about the most contemporary generative AI platforms such as generative adversarial networks, variational autoencoders, and reinforcement learning—all relevant in identifying emerging solutions to advance strategies in cybersecurity. The conversation simultaneously conducts an opportunity and threat analysis of the merger between these platforms and cybersecurity with regard to ethics, regulations, and overall adversarial touchpoints and tactics. The chapter concludes with a call for unity in discourse and action between the relevant industry, academia, and government stakeholders as a summary of the essential cross-disciplinary aspect that must drive the narrative in confronting and overcoming the threats to and from generative AI research. Having presented the narrative structure, this chapter has allowed a comprehensive coverage of the major issues and opportunities at the heart of the cybersecurity-generative AI combination. Additionally, it has provided a forum to call for collaborative and fortified efforts regarding the securing and defending of the uncertainties that the rapidly changing and more unpredictable digital landscape has in store for the world.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|