Cloud computing is emergent discipline as a new computing model in a number of trade domains. Enormous numbers of colossal-scale businesses are starting to shift the data on to the cloud environment. The proposed multi key word search based on rating over encrypted cloud data uses feature of similarity and inner product similarity matching. The vector space model helps to provide enough search accuracy...
and subscription. However, cloud server may also curious about both the published data and the interests of the subscribers. In this paper, we propose a privacy-preserving Attribute-Keyword based data Publish-Subscribe (AKPS) scheme for cloud platforms. Specifically, in order to protect the privacy of the published data
) scheme for sharable EMRs. Comparing with existing SCF-PEKS solutions, our scheme reduces the storage overhead and achieves better computation performance. Moreover, our scheme can guard against keyword guessing attack, which is neglected by most of the existing schemes. Finally, we implement both our scheme and a latest
a way that it is secure and simultaneously searchable. To this end, one of the state-of-the art encryption schemes secure and privacy preserving keyword searching (SPKS) has been employed. The encryption algorithm employs CSP for partially decryption of the cipher texts. Consequently, the client computational and
Public key encryption with keyword search (PKES) enables senders to send encrypted data to a Freceiver like traditional public key encryption (PKE) schemes. The difference between PKES and PKE is that the receiver in PKES can search on the encrypted data which is stored on the third-party server (like a cloud storage
Public key encryption with keyword search enables users to retrieve keywords from encrypted data, which can protect data confidentiality without losing the search operability. However, it is also vulnerable to keyword guessing attacks. In this paper, we propose a conjunctive keywords searchable encryption with
Enterprises outsourcing their data to cloud and authorizing multiple users to access represents a typical application of cloud storage services. Searchable encryption is a cryptographic primitive, which allows users to access their data selectively and ensures the confidentiality of user data and keywords being
cloud server, but these schemes have very high computational and storage overheads when applied in a different but more practical setting where each record is co-owned by multiple data owners. To address this problem, we develop a verifiable keyword search over encrypted data in multi-owner settings (VKSE-MO) scheme by
encrypted data. However, the majority of these approaches are limited to handle either a single keyword search or a Boolean search but not a multikeyword ranked search, a more efficient model to retrieve the top documents corresponding to the provided keywords. In this paper, we propose a secure multi-keyword ranked search
keyword search scheme for multi-user setting, in which a data owner can share data with a group users without knowing which user in the group. In the proposed scheme, (a) each user has his own secret key, (b) each user generates trapdoors without getting any help from data owner or the third party, (c) our scheme features
isowned by multi persons. In this approach, we haveproposed a new scheme to deal with preserving the privacyin encrypted cloud data using multi-keyword searching. Toenable cloud server to perform access securely to searchingthe data with no cognizance about the real data of bothkeywords and trapdoors.
duplication and occupy the quota of cloud storage from each receiver. User requires keeping their shared documents belonging up to date which are compared with the latest version. To this aim, we thus propose a sharable ID-based encryption with keyword search in cloud computing environment, which enables users to search in data
for private keyword based search over the encrypted database. The above setting of enterprise outsourcing database to the cloud requires multi-user searchable encryption, whereas virtually all existing schemes consider the single-user setting. To bridge this gap, we are motivated to propose a practical multi-user
Since the last decade, the public-key encryption with keyword search (PEKS) has been studied as a popular technique for searching data over encrypted files. The notion finds useful application for fine-grained data search on outsourced encrypted data like iCloud, mobile cloud data, etc. In this paper, we present a
search over the encrypted mobile cloud data. To tackle this issue, in this paper, we develop the searchable encryption for multi-keyword ranked search over the storage data. Specifically, by considering the large number of outsourced documents (data) in the cloud, we utilize the relevance score and
In cloud computing, it is important to protect user data. Thus, data owners usually encrypt their data before outsourcing them to the cloud server for security and privacy concerns. At the same time, very often users need to find data for specific keywords of interest to them. This motivates the research on the
cloud server. In this paper, using on line Personal Health Record (PHR) as a case study, we first show the necessity of search capability authorization that reduces the privacy exposure resulting from the search results, and establish a scalable framework for Authorized Private Keyword Search (APKS) over encrypted cloud
There exist only a few papers in the literature which target the problem of “proposing a secure designated server identity-based encryption with keyword search scheme.” In this paper, we prove that they all suffer from security issues, and therefore, this challenging problem still remains open.
encryption is a cryptographic primitive allowing for private keyword based search over the encrypted database. The above setting of enterprise outsourcing database to the cloud requires multi-user searchable encryption, whereas virtually all of the existing schemes consider the single-user setting. To bridge this gap, we are
decryption key only to authorized users. However, when a user wants to retrieve files containing certain keywords using a thin client, the adopted encryption system should not only support keyword searching over encrypted data, but also provide high performance. In this paper, we investigate the characteristics of cloud storage
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SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.