Cybersecurity Challenges in Edge and Fog Computing Within Cloud Ecosystems
Pawan Kumar Goel · Advances in information security, privacy, and ethics book series · 2024
Edge and fog computing are critical advancements in cloud ecosystems, offering enhanced real-time processing, reduced latency, and improved bandwidth efficiency. These technologies are essential for the future of cloud services and the Internet of Things (IoT). However, the decentralized nature of edge and fog computing introduces unique cybersecurity challenges that need addressing. Current literature highlights several unresolved issues, such as the increased attack surface, data privacy concerns, and the resource constraints of edge and fog nodes. Our research proposes a novel security framework that integrates lightweight encryption, decentralized authentication via blockchain, and adaptive machine learning-based intrusion detection. This innovative approach is designed to address the specific security needs of edge and fog environments for the first time. Our simulation results demonstrate significant improvements in threat detection accuracy and system efficiency compared to existing methods.