Secure workload management for cloud server
Autor: | Shekhar Verma, S. Venkatesan, Nitish Andola, Himanshu Chandankhede, Sourabh Prakash |
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Rok vydání: | 2017 |
Předmět: |
Information privacy
Computer science business.industry Cloud computing 02 engineering and technology Computer security model Computer security computer.software_genre Encryption Data sharing Server 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business computer Cloud storage Server-side |
Zdroj: | 2017 Conference on Information and Communication Technology (CICT). |
DOI: | 10.1109/infocomtech.2017.8340611 |
Popis: | Cloud storage service is an influential application now days to serve the need of data sharing between multiple entities. Data owners are encouraged to encrypt the data before hosting it over server, to ensure data privacy. Searching over encrypted data has its own limitations and additional computational load at server side. Here we focus over the additional burden at Cloud server while dealing with multiple users requests over encrypted data. Our solution reduces the load over server, by introducing a Manager. Dealing with third party manager has its own data privacy problems, which includes potential breach of privacy while processing the searching request. Our proposed solution maintains the security and privacy goals, even when request is processed by third party manager. We have given security proof for different security models. The results indicates the practical and secure nature of proposed scheme, with reduced burden at cloud server. |
Databáze: | OpenAIRE |
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