Verifiable quaternion fully homomorphic encryption scheme for mitigating false data injection attacks by privacy preservation in fog environment

Abstract

Fog computing as an extension of cloud computing has attracted maximum attention over the recent years due to its suitability and applicability. The Fog computing is identified to handle the issues of inadequate mobility support and location sensitiveness and maximized latency. In the Internet of Things (IoT), a collection of IoT devices needs to be connected to the Fog nodes for supporting the center of the cloud service to process and store partial data part in prior. This possibility of connecting IoT devices with Fog nodes has the maximum possibility of enhancing the service quality and minimize the pressure involved in data processing in real time. However, Fog nodes used in data processing are considered from a diversified number of challenging issues introduced by the privacy violation of IoT devices, modification attacks and false data injection attack. In this paper, a Verifiable Quaternion Fully Homomorphic Encryption (VQFHE) scheme is proposed for mitigating False Data Injection Attacks by means of privacy preservation and fault tolerance in Fog computing scenario. This proposed VQFHE scheme derives the benefits of Quaternions for ensures that data injection always happens from the legitimate devices, inspite to the honest or curious behavior of the cloud control center (CCC) and Fog nodes. The simulation results conducted using iFogSim simulator confirmed its predominance over the benchmarked schemes with respect to communication overhead and computation overhead.