A Detection Approach for Finding Rogue Fog Node in Fog Computing Environments

Recently, the concept of fog computing has attracting much attention due to the huge potential. Fog uses the Internet as a key infrastructure to interconnect numerous geographically diversified end users (IoT devices) with centralized cloud. But at the very early development stage it came up with many challenges. Security is the key challenges in this aspect. One of the most significant and challenging security concerns in fog computing environment is the presence of malicious or rogue node. Without proper detection mechanism it could be difficult to manage fog node in fog. There are renowned techniques for rouge node detection, nevertheless this paper tries to solve the problem from a different perspective. In this paper, we have introduced a statistical based approach to detect a rogue fog node using a Hidden Markov Model (HMM). Our trained HMM can successfully detect the presence of a rogue fog node instantaneously within very short computation time with high accuracy.We have verified our proposed approach using MATLAB simulated environment. Finally, according to the simulation results, our system can perform effectively and efficiently and can successfully identify the presence of rogue fog node in the fog environment.