Reliable Non-Leveled Homomorphic Encryption for Web Services

With the ubiquitous deployment of web services, ensuring data confidentiality has become a challenging imperative. Fully Homomorphic Encryption (FHE) presents a powerful solution for processing encrypted data; however, its widespread adoption is severely constrained by two fundamental bottlenecks: substantial computational overhead and the absence of a built-in automatic error correction mechanism. These limitations render the deployment of FHE in real-world, complex network environments impractical.To address this dual challenge, this work puts forward a new FHE framework that enhances computational efficiency and integrates an automatic error correction capability through new encoding techniques and an algebraic reliability layer. Our system was validated across several web workloads, including encrypted inference on MNIST and CIFAR-10, federated aggregation with non-IID data, and streaming analytics on household power consumption data. Experimental results demonstrate significant performance improvements, particularly with large polynomial modulus degrees such as $N=8192$, while maintaining task accuracy within $0.5\%$ of the plaintext baseline. Furthermore, our error correction mechanism reduces the service failure rate to below $0.5\%$ even under harsh, bursty network fault conditions.