Secured Diverse Keyword Search over Encrypted Cloud Data
K Ravi, Kishore, A Ongole, India Ongole, India Ongole, India
unpublished
Cloud computing provides a new paradigm for companies in terms of computing power and data storage. Traditionally companies used to have on premise data centres and storage systems. In comparison to traditional hardware cloud computing systems are vulnerable to more security related issues. In on premise data storage systems data is not exposed to outside world, since data is stored locally and transferred via local area network or LAN for short. It also provides additional benefits lower
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... y for accessing the data, high availability and total control on the systems. Requirements for strong security is not a nice feature to have but not a necessary condition unless the information we are storing is highly sensitive. But with the advent of cloud computing and storage systems, security has become paramount. Since the data is transferred via interwebs the demands for encrypting data are higher than before. Companies and cloud computing providers need to communicate via a secure channel and data needs to be encrypted. Searching this encrypted data is very compute intensive and needs many operations. In this work, we explored existing work on searching encrypted data and proposed algorithms that improve user experience and speed of retrieval. Majority of the existing work in this field is based on single user workflow. One of the most popular services of cloud computing is data outsourcing. For reasons of cost and convenience, public as well as private organizations can now outsource their large amounts of data to the cloud and enjoy the benefits of remote storage. At the same time, confidentiality of remotely stored data on untrusted cloud server is a big concern. In order to reduce these concerns, sensitive data, such as, personal health records, e-mails, income tax and financial reports, etc. In this paper, we concentrated on user stories related to multiple producers and consumers, authorization in this multi party context. We also proposed extensions to our work to support additional search semantics. Data correctness and availability are considered as the most important things for our work.
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