Enhancing IoT Security Through Fog Computing and SDN: Trust-Based Approach

Abstract

The Internet of Things (IoT) has revolutionized data collection and processing through seamless communication among smart devices. While cloud computing occasionally struggles to deliver rapid, high-quality services, fog computing emerges as a dynamic alternative, offering swift computation and service provisioning. This research introduces an innovative IoT architecture merging software-defined networking and fog computing. The core features pioneering algorithms managing access control and evaluating trust. These algorithms seamlessly integrate new fog nodes, assigning non-sensitive tasks. Communication channels among fog nodes, coupled with behavior reporting to the Fog Manager node (FMN), enhance transparency and adaptability. The FMN evaluates fog node reliability preemptively, bolstering security by sieving out untrustworthy nodes. Validated via Java implementation in iFogSim, the framework swiftly identifies and mitigates malicious fog node activities, ensuring fog environment security and efficiency. By fusing software-defined networking and fog computing, this research addresses service speed, scalability, and security challenges, contributing to a more secure, adaptable, and efficient IoT future.