An Integrated Framework for Security Policy Management in Cloud and Edge Computing Environments

Abstract

The integration of cloud and edge computing technologies has revolutionized modern IT infrastructures by providing enhanced scalability, flexibility, and lower latency for data processing. However, the hybrid nature of these environments introduces unique security challenges, particularly in managing security policies across both centralized cloud systems and decentralized edge nodes. This paper presents an integrated framework for security policy management in cloud and edge computing environments, aimed at addressing the complex and evolving security requirements of these interconnected systems. The proposed framework combines classical security techniques with advanced methodologies such as machine learning-based threat detection, lightweight cryptography for IoT devices, and dynamic policy enforcement mechanisms. It focuses on critical areas such as identity and access management, secure communication, data privacy, and real-time monitoring of security events. By employing an adaptive approach to policy management, the framework ensures that security measures can respond in real-time to emerging threats while optimizing resource use across cloud and edge nodes. Additionally, the framework supports the seamless integration of cloud and edge-specific security models, offering a scalable, efficient, and future-proof solution to securing hybrid environments. The paper also discusses potential challenges and future advancements required to enhance security policy management in cloud-edge ecosystems, paving the way for robust, secure, and resilient infrastructures.