An Improved Lightning Search Algorithm-based End-to-End Lightweight Partially Homomorphic Encryption Approach for Enhanced IoT Security

Abstract

The Internet of Things (IoT) security is a highly challenging research domain. The IoT user devices frequently function in vulnerable platforms that cause many security problems that can be considered. The model lightweight cryptographic (LWC) method stake place to reflect the importance of cryptographic systems which offer safety with the employ of an effectual count of resources. The purpose of the lightweight system's design is to strike a balance in many features like low resource demand, performance, and cryptographic algorithm stability and strength. Therefore, this study develops a new Improved Lightning Search Algorithm based End-to-End Lightweight Partially Homomorphic Encryption Approach (ILSA-LPHEA) for Securing the IoT Environment. For securing the data in the IoT environment, a lightweight partially homomorphic encryption (PHE) approach is used. Since key generation remains an important process to establish secure data transmission among IoT devices and servers, the ILSA is used. The hybridization of lightweight encryption with PHE strategy provides better security by enhancing privacy, confidentiality, and authentication, enabling end-to-end encryption. A detailed experimental result analysis highlighted the better solution of the ILSA-LPHEA algorithm with recent models.

Keywords:
Internet of Things; Security; Lightweight cryptography; Partial homomorphic encryption; Key generation

HIGHLIGHTS

ILSA-LPHEA for Securing the IoT Environment.

For securing the data in the IoT environment, a lightweight partially homomorphic encryption (PHE) approach is used

Enhancing privacy, confidentiality, and authentication, enabling end-to-end encryption.