A Privacy Preservation Strategy Using Hybrid Fully Homomorphic Encryption Scheme in IoT

Abstract

The Wireless Sensor Network affords the basis for the Internet of Things (IoT) systems that typically produce large and imprecise information. This information has to be integrated faster and efficiently handled. Various devices deployed with IoT exists like organizational automation, smart grid etc. To sub-ordinate this system software as well as their applications, the Packet Authentication Code (PAC) and routing protocols are essentially required for interoperability and scalability. Hence, this study intends to propose a system based on PAC to preserve privacy, thereby handling the False Data Injection (FDI) attacks. The study performs the authentication process where the nodes are authenticated even before the data transmission for efficient security. A privacy preservation model is also employed to deal with the FDI attacks. Data aggregation is also performed to reduce the end-to-end delay and communication overhead. A hybrid Gentry, Sahai and Waters (GSW) and Ducas and Micciancio (DM) are proposed to handle the FDI attacks through a key generation process. In addition, a PAC is generated to improvise the security that includes various processes such as group formation of the node members, key generation, as well as distribution and unique sensor number generation to authenticate using PAC. The performance of the proposed system is analyzed through a comparative analysis in terms of specific significant parameters to evaluate the efficacy of the proposed method. The analytical results reveal the efficiency of the proposed hybrid GSW–DM with PAC for privacy preservation than the existing systems.