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@article{200487,
        author = {Dr M Satish Kumar and R Dhikshitha},
        title = {Hybrid CKKS and SSE Framework for Privacy-Preserving Cloud Data Analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2329-2336},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200487},
        abstract = {Outsourcing sensitive data to cloud infrastructure introduces a fundamental conflict between computational utility and data confidentiality. Standard encryption schemes protect data in transit and at rest, but require decryption before analytics can be performed—exposing plaintext to an untrusted server. This paper presents a hybrid privacy-preserving framework that tightly couples the Cheon–Kim–Kim–Song (CKKS) approximate homomorphic encryption scheme with Searchable Symmetric Encryption (SSE) to enable secure, fully encrypted cloud analytics. Numerical datasets are encrypted client-side using CKKS, permitting statistical operations—mean, variance, minimum, maximum, and histogram estimation—to execute directly on ciphertext, with no decryption at the server. Concurrently, SSE provides deterministic HMAC-based keyword indexing that allows record retrieval without disclosing query terms to the cloud. All cryptographic keys remain within the client environment; the cloud stores and processes only ciphertext. A SHA-256 integrity mechanism confirms result correctness after decryption. Evaluation across multiple real-world datasets, including a healthcare dataset used as the primary benchmark, confirms that the framework achieves practical encrypted analytics: encryption of 5,000 values completes in
3.40 s and encrypted statistical computation in 1.20 s, with results matching plaintext baselines within the expected CKKS approximation bounds. The framework addresses a persistent gap in existing literature by delivering unified encrypted computation and encrypted search within a single deployable cloud prototype.},
        keywords = {Cloud Computing; Homomorphic Encryption; CKKS; Searchable Symmetric Encryption; Privacy-Preserving Analytics; AWS; Data Confidentiality.},
        month = {May},
        }