EMPOWERING IOT SECURITY THROUGH ENHANCED PRIVACYPRESERVING DATA VALIDATION

Abstract

There are new possibilities for data-driven intelligence and automation brought about by the fast growth of the Internet of Things (IoT), but there are also serious worries about the security of user data and privacy. As more and more sensitive information is sent by billions of networked devices, protecting users' privacy while guaranteeing data authenticity has become an essential concern. For the purpose of securing IoT settings, this study suggests a more robust privacypreserving data validation technique. The suggested system effectively authenticates data while protecting the privacy of users and devices by using lightweight cryptographic methods including homomorphic hashing and elliptic curve cryptography (ECC). Data forgery and replay attacks may be lessened with the use of an integrated trust-based system that dynamically evaluates the authenticity of devices in real time. Minimal computational overhead and energy consumption are achieved by optimising the system for low-power and resource-constrained IoT devices. For next-gen Internet of Things (IoT) applications that need privacy and trustworthiness, the suggested technique delivers better security, scalability, and efficiency than current schemes, according to simulation findings and comparisons with existing schemes.