Blockchain Based Data Protection for Smart Devices

In modern home and institutional settings, security issues like unauthenticated access, identity theft, and privacy violation have become common. Traditional surveillance systems, like CCTV, offer passive monitoring with no facility for real-time identification or intelligent decision- making. This can cause serious security threats due to delays in manual verification. This research proposes an integrated approach that uses advanced face recognition technology, elliptic curve cryptography, and blockchain technology to improve data security and access control of smart devices. In face recognition technology, the Grassmann algorithm is used to guarantee accurate and reliable face recognition. Additionally, data encryption using elliptic curve cryptography is used to ensure data confidentiality and integrity. This approach also offers real-time alerts and notifications, which can respond to potential security threats in real time. This methodology unifies intelligent identification, cryptographic protection, and decentralized storage. This addresses important shortcomings in conventional monitoring systems. It is a powerful framework for improving security in residential, commercial, and institutional environments. It has shown a significant improvement in security reliability and efficiency, together with user privacy.