Homomorphic Encryption: Security Without Compromise in IoT and Big Data

The study explores the potential of full homomorphic encryption (FHE) using the Microsoft SEAL library, a revolutionary technique that enables computations on encrypted data without compromising its confidentiality. The results highlight its applicability in edge devices such as NVIDIA Jetson Nano and its relevance in IoT ecosystems and data lakes. This approach promises to solve privacy and security challenges in an increasingly connected world, aligning with regulations such as GDPR.