Detecting Man-in-the-Middle Attack in Fog Computing for Social Media

Fog computing (FC) is a networking paradigm where wireless devices known as fog nodes are placed at the edge of network (close to Internet Things (IoT) devices). provide services in lieu cloud. Thus, improving performance and making it attractive social media-based systems. Security issues one most challenges encountered FC. In this paper, we propose an anomaly-based Intrusion Detection Prevention System (IDPS) against Man-in-the-Middle (MITM) attack layer. The system uses special (IDS) detect intrusion network. They periodically monitor behavior Any deviation from normal activity categorized malicious, suspected node isolated. Exponentially Weighted Moving Average (EWMA) added smooth out noise that typically found media communications. Our results (with 95% confidence) show accuracy proposed increases 80% after EWMA added. Also, with EWMA, can 0.25–0.5 s seconds faster than without EWMA. However, affects latency provided by least 0.75–1.3 s. Finally, has not increased energy overhead system, due its lightweight.