831 research outputs found
Achieving Secure and Efficient Cloud Search Services: Cross-Lingual Multi-Keyword Rank Search over Encrypted Cloud Data
Multi-user multi-keyword ranked search scheme in arbitrary language is a
novel multi-keyword rank searchable encryption (MRSE) framework based on
Paillier Cryptosystem with Threshold Decryption (PCTD). Compared to previous
MRSE schemes constructed based on the k-nearest neighbor searcha-ble encryption
(KNN-SE) algorithm, it can mitigate some draw-backs and achieve better
performance in terms of functionality and efficiency. Additionally, it does not
require a predefined keyword set and support keywords in arbitrary languages.
However, due to the pattern of exact matching of keywords in the new MRSE
scheme, multilingual search is limited to each language and cannot be searched
across languages. In this pa-per, we propose a cross-lingual multi-keyword rank
search (CLRSE) scheme which eliminates the barrier of languages and achieves
semantic extension with using the Open Multilingual Wordnet. Our CLRSE scheme
also realizes intelligent and per-sonalized search through flexible keyword and
language prefer-ence settings. We evaluate the performance of our scheme in
terms of security, functionality, precision and efficiency, via extensive
experiments
Efficient Keyword Search over Encrypted Cloud Data
AbstractWith the advent of cloud computing, most of the data owners are outsourcing their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But sensitive data has to be encrypted before outsourcing, for protecting data privacy. However data encryption makes effective data utilization a challenging task. Traditional data utilization based keyword search on encrypted data is a difficult task. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in the cloud, it is necessary to allow keyword search request and return documents in the order of their relevance to these keyword. In this paper we proposed a system that supports multi-owner keyword ranked search over the encrypted cloud data with good key management scheme. Thorough security and performance analysis show that the proposed scheme guarantees high security and practical efficiency
Survey on Efficient Information Retrieval for Ranked Query in Cost-Efficient Clouds
Cloud computing technology redefines the advances in information technology. The most challenging research works in cloud computing is privacy and protection of data. Cloud computing provides an innovative business model for organizations with minimal investment. Cloud computing has emerged as a major driver in reducing the information technology costs incurred by organizations. Security is one of the major issues in cloud computing. So it is necessary to protect the user privacy while querying the data in the cloud environment, different techniques are developed by researchers to provide privacy, but the computational and bandwidth costs increased which are unacceptable to the users. This paper presents description and comparison of Ostrovsky, COPS and EIRQ protocols which are currently available for retrieving information from clouds. EIRQ protocol is the latest among these protocols and it addresses the issues of privacy, aggregation, CPU consumption and network bandwidth usage
Secured Uploading and Retrieval of Data Using Visual Cryptography Scheme
Cloud storage provides a convenient, massive, and scalable storage at low cost, but data security is a major issue that prevents users from storing ?les on the cloud. This paper focuses on security for the documents that are uploaded and stored on the cloud. However, it poses risks to end users unless the data is encrypted for security. This study addresses these issues by proposing Visual Cryptography Scheme (VCS) for securing the files. In order to prevent issues like breaches and malware attacks on cloud, this innovative scheme helps in high level security to safeguard the files that are stored on the clou
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