Searchable Encryption Techniques in Cloud Computing

The increasing adoption of cloud storage by organisations and individuals necessitates robust mechanisms to safeguard data confidentiality while preserving usability. Searchable encryption addresses this dual requirement by enabling keyword-based queries directly on encrypted datasets, thereby precluding the exposure of plaintext to untrusted servers. Early constructions predominantly relied on symmetric key primitives, defining searchable symmetric encryption (SSE) frameworks in which a client generates encrypted indexes and trapdoors for search, retrieving relevant ciphertexts without divulging sensitive information. Progress in public-key encryption with keyword search (PEKS) extended these concepts to asymmetric settings, facilitating flexible key management and fine-grained access controls. More recent advances have enriched basic search functionality with support for multi-keyword and boolean queries, semantic expansion and ranked retrieval, verifiability of results, dynamic updates and revocation, and integration with emerging paradigms such as edge computing. Hybrid cryptographic techniques, including homomorphic encryption and secure hardware enclaves, further bolster search efficiency and security assurances. Concurrently, utilisation of decentralised trust infrastructures—particularly blockchain and smart contracts—has been explored to ensure integrity, fairness of incentives and tamper-evident auditability without reliance on a single trusted third party. Collectively, these innovations demonstrate the field’s commitment to balancing performance, usability and rigorous security against increasingly capable adversaries.

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Searchable Encryption Techniques in Cloud Computing publication trend

The graph below shows the total number of articles in searchable encryption techniques in cloud computing across all publications each year (not limited to Nature Index journals).

Technical terms

Searchable Encryption: Cryptographic techniques enabling keyword search over encrypted data without revealing plaintext.
Symmetric Searchable Encryption (SSE): A searchable encryption paradigm using a shared secret key for encryption and trapdoor generation.
Public-Key Encryption with Keyword Search (PEKS): An asymmetric searchable encryption scheme allowing holders of the public key to encrypt searchable indexes.
Attribute-Based Encryption (ABE): An encryption framework in which decryption keys are granted based on user attributes satisfying an access policy.
Counting Bloom Filter: A probabilistic data structure that supports insertions and deletions to test set membership with a controlled false-positive rate.
Smart Contract: Self-executing code deployed on a blockchain that enforces predefined rules and automates transactions without intermediaries.

References

1. Secure semantic expansion based search over encrypted cloud data supporting similarity ranking. Journal of Cloud Computing (2014).
2. Secure Data Sharing and Search for Cloud-Edge-Collaborative Storage. IEEE Access (2019).
3. Verifiable Attribute-Based Keyword Search Over Encrypted Cloud Data Supporting Data Deduplication. IEEE Access (2020).
4. Blockchain‐Enabled Public Key Encryption with Multi‐Keyword Search in Cloud Computing. Security and Communication Networks (2021).
5. ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption. IEEE Transactions on Knowledge and Data Engineering (2020).