Cybersecurity Risk Mitigation: A Comprehensive and Adaptive Framework for Next-Generation Networks
Abstract: This paper proposes an advanced and adaptive cybersecurity risk mitigation framework tailored for next-generation networks, including 5G, IoT, cloud computing, and edge environments. Modern networks face diverse and complex threats such as DDoS attacks, ransomware, insider threats, malware propagation, and advanced persistent threats (APT). The proposed framework integrates signature-based detection, anomaly detection, predictive analytics, adaptive policy enforcement, and automated mitigation mechanisms. Through extensive experiments, simulations, and comparative analysis, the framework demonstrates its ability to reduce vulnerabilities, respond in real-time to threats, and maintain high network performance. The paper also addresses deployment strategies, scalability, integration challenges, and practical use-cases, with future research directions focusing on AI-driven predictive security, reinforcement learning-based adaptive defense, and integration with heterogeneous IoT and cloud infrastructures.
Keywords: Cybersecurity, Risk Mitigation, Network Security, Next-Generation Networks, IoT Security, 5G Security, Edge Computing, AI Security, Adaptive Framework
How to Cite?: Jenifhar Jolla I J, "Cybersecurity Risk Mitigation: A Comprehensive and Adaptive Framework for Next-Generation Networks", Volume 14 Issue 10, October 2025, International Journal of Science and Research (IJSR), Pages: 1745-1748, https://www.ijsr.net/getabstract.php?paperid=SR251029111335, DOI: https://dx.doi.org/10.21275/SR251029111335