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Yu et al. proposed a two-round multi-keyword ciphertext retrieval TRMCR) scheme by employing a vector space model and homomorphic encryption. A distinctive feature is to support top-k multi-keyword retrieval and hence TRMCR is an excellent choice for searching encrypted data over cloud with a desirable property of
warrant can be provided. However, sometimes, the investigators need to keep the investigation subject confidential due to the confidentiality of the crime or the server administrator may be one of the suspects. In this paper, we address how to solve this problem by multiple keyword search over encrypted data, so that the
compromised. The encrypted data on the cloud can be retrieved using Searchable Symmetric Encryption (SSE). The current work uses multi-keyword searchable encryption scheme with top-k retrieval to avoid compromises on data privacy occurred by using Order Preserving Encryption schemes. The encryption scheme uses homomorphic
One of the major limitations of index based encrypted string search on big dataset is the inherent problem of big index generation, maintenance and update which stops it from being dynamic in a sense that one could not modify data or add or remove keywords. Also for a resource constraint client, to generate an index
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.