Adopting Agent-Based Approach in Curbing Ransomware Attacks in this Modern Society

Anderson, P. (2021). AI and Machine Learning in Cybersecurity. Berlin: Springer. pp. 200-230. Anderson, P. (2021). AI and Machine Learning in Cybersecurity. Berlin: Springer, pp. 200-230. Brown, H. (2019). Ransomware: A Global Perspective. Sydney: CyberSec Publishing. pp. 45-75. Davis, T., & Moore, J. (2020). Real-Time Threat Detection Systems. San Francisco: TechWorld Publishing. pp. 56-110. Garcia, L., & Martinez, F. (2020). Agent-Based Modeling in Cybersecurity. Madrid: Springer. pp. 120-155. Khan, N., & Ali, R. (2023). Innovations in Adaptive Cyber Defense. Dubai: TechWorld Press. pp. 60-100. Lee, K., & Zhao, M. (2019). Dynamic Defense Mechanisms in Cybersecurity. New York: InfoSec Publishers. pp. 100-150. Lee, K., & Zhao, M. (2019). Dynamic Defense Mechanisms in Cybersecurity. New York: InfoSec Publishers, pp. 100-150. Explores adaptive response mechanisms against evolving threats. Patel, S. (2021). AI for Network Security. Mumbai: InfoTech Publishers. pp. 99-160. Smith, J. (2020). Cybersecurity Advances in the Era of Ransomware. London: TechPress. pp. 45- Smith, J. (2020). Cybersecurity Advances in the Era of Ransomware. London: TechPress, pp. 45- Williams, R. (2018). Threat Landscape of Modern Cyber Attacks. Chicago: CyberDefense Press. pp. 78-95. Zhang, W. (2022). Cybersecurity Threat Mitigation Techniques. Boston: MIT Press. pp. 180-220.