Abstract
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.
Highlights
Cloud computing has revolutionized data storage by offering effortless data storage for personal, enterprises, governments and institutions
Despite the numerous benefits of cloud storage fuelled by high speed networking technologies and the cloud storage providers (CSPs) claim to adopt strong security measures governments, organizations and businesses are slow to fully embrace the public cloud storage due to privacy and security concerns
An authorised Data User (DU) acquires a search token denoted by τq generated using SRCHTOKEN corresponding to a given query keyword wq from the Data Owner (DO)
Summary
Cloud computing has revolutionized data storage by offering effortless data storage for personal, enterprises, governments and institutions. This leakage can be from search pattern, access pattern, update pattern, size pattern, file identifiers containing a specific keyword, trace and trapdoor linkability. In order to fully utilize the services offered by the cloud server, there is a need for a provably secure dynamic searchable encryption scheme with efficient search, forward privacy and support for parallelism, which is a challenging problem. The significant research problems in designing protocols for privacy-preserving search over encrypted outsourced cloud data can be summarized as: a) an efficient and secure index construction to improve search without reconstructing the index. Support to add/delete keywords or documents without reconstructing the outsourced encrypted index using the hash table that contains the sum of inner product of the rows that are linked by orthogonal vectors
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