ABSTRACT
This chapter discusses the various security and privacy issues that prevail in Fog computing. The proposed Fog computing is distributed, latency sensitive and provides Quality-of-Service and location awareness to its end users. Edge computing and Fog computing are somewhat similar to each other and both the terms are used exchangeably; also, the main objectives of both of them are the same, to reduce the network and delay congestion. The chapter also discusses the related work in the load balancing domain of Fog computing. It investigates the current state-of-the-art works regarding load balancing and security issues in the Fog computing paradigm. Rahbari et al. proposed a hyper-heuristic algorithm for secure scheduling in Fog computing. The chapter examines the various security and privacy issues that prevail in Fog computing. In a Fog network, a huge amount of Fog nodes and Internet-of-Things devices are connected so it becomes important to have an identification of each individual device which is achieved by authentication.
