COGNITIVE SENTINEL: DYNAMIC DEFENSE AGAINST MALICIOUS FOG NODES IN EVOLVING FOG -2- FOG COLLABORATIVE MODEL

Abstract

IoT applications with stern time constraints often demand very-low latency, and meeting the Quality of Service (QoS) requirements proves challenging with conventional cloud computing. To mitigate this challenge, Cisco introduced Fog Computing in 2015. However, the ever-evolving nature of the fog computing environment introduces several security challenges. Compounding the issue, fog nodes are often deployed by various developers with varying security guidelines. Collaboration amongst the fog nodes, especially in data offloading scenarios, presents security concerns that are currently unexplored. The existing work on security in fog computing is limited, and conventional cryptography strategies are ill-suited for detecting networks having malicious nodes. Consequently, the reputation of IoT services is threatened by presence of malicious fog nodes and this compromises user’s privacy. This research paper advocates for a trust-based model, aiming to identify the maximum trustworthy node to offload tasks while separating any malicious fog nodes within the network. By doing so, the proposed method enhances the security of network and elevates overall Quality of Service (QoS).