The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Driven Cyber Threats: Behavioral Analysis and Strategic Defenses
Abstract
The behavioural analysis of AI attacks is of extreme significance in contemporary-day cybersecurity as it pertains to how AI has the potential to enhance or disrupt security measures. AI attacks use leading-edge machine learning, deep learning, and natural language processes to carry out sophisticated attacks. AI defences, on their part, use predictability analysis and anomaly detection to counter attacks. In this chapter, AI in cybersecurity has dual responsibilities in threat reaction, reaction, and adaptation mechanisms. AI-based adversarial AI attacks, AI-based social engineering attacks, and AI-based automated exploitation attacks have been elucidated together with AI-based defences such as behavioural profiling and self-healing mechanisms. Real-life scenarios have been presented in the chapter to elucidate how AI has contributed to or has been employed in cyber wars.
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.
|
|
|