Pindex: Private multi-linked index for encrypted document retrieval.

Autor: Prakash AJ; Ramanujan Computing Centre, Anna University, Chennai, TN, India., Elizabeth BL; Department of IT, Anna University, Chennai, TN, India.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2021 Aug 20; Vol. 16 (8), pp. e0256223. Date of Electronic Publication: 2021 Aug 20 (Print Publication: 2021).
DOI: 10.1371/journal.pone.0256223
Abstrakt: Cryptographic cloud storage is used to make optimal use of the cloud storage infrastructure to outsource sensitive and mission-critical data. The continuous growth of encrypted data outsourced to cloud storage requires continuous updating. Attacks like file-injection are reported to compromise confidentiality of the user as a consequence of information leakage during update. It is required that dynamic schemes provide forward privacy guarantees. Updates should not leak information to the untrusted server regarding the previously issued queries. Therefore, the challenge is to design an efficient searchable encryption scheme with dynamic updates and forward privacy guarantees. In this paper, a novel private multi-linked dynamic index for encrypted document retrieval namely Pindex is proposed. The multi-linked dynamic index is constructed using probabilistic homomorphic encryption mechanism and secret orthogonal vectors. Full security proofs for correctness and forward privacy in the random oracle model is provided. Experiments on real world Enron dataset demonstrates that our construction is practical and efficient. The security and performance analysis of Pindex shows that the dynamic multi-linked index guarantees forward privacy without significant loss of efficiency.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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