Abstract:
Many time-sensitive IoT applications require low latency and achieving other Quality
of Service (QoS) criteria proves challenging with conventional cloud computing. To
address these issues, Cisco introduced Fog Computing in 2015. However, the dynamic
nature of the fog computing environment introduces several securi ty challenges.
Compounding the issue, fog nodes are often deployed by different vendors with
varying security policies. Collaboration among fog nodes, especially in data
offloading scenarios, presents security concerns that are currently underexplored. The
existing work on security in fog computing is limited, and conventional cryptography
strategies are ill-suited for detecting malicious fog nodes within the network.
Consequently, the presence of malicious nodes poses threats to the reputation of IoT
services and compromises user privacy. This thesis advocates for a trust -based
approach, aiming to identify the most trustworthy node for offloading tasks while
isolating any malicious nodes within the fog domain. By doing so, our proposed
approach enhances inside network security and elevates overall Quality of Service
(QoS).
