Secure Cloud Storage Based on Partitioning and Cryptography
Cloud-based storage is becoming a very good method for sharing any type of data in upcoming days. This method can reduce the burden of storing and retrieving data in local machines. But there exist many issues. The vendor itself can attack the user’s data
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Abstract Cloud-based storage is becoming a very good method for sharing any type of data in upcoming days. This method can reduce the burden of storing and retrieving data in local machines. But there exist many issues. The vendor itself can attack the user’s data and it can even delete or hide the data; if the user did not access the data for a long period of time. It also faces problems for synchronizing and uploading files and the vast range of internal and external threats for data integrity. Another problem is based on data security in cloud storage, where it does not have a proper encryption technique. Storing data in the cloud is financially good for long-term large scale data storage, although it does not fully offer guarantee on data integrity and availability. In this paper we are focusing the integrity of the data using a technique that divides the data into number of pieces and encrypting it by newly introduced method. Through this technique cloud ensures more security and integrity.
Keywords Cloud Cloud computing Multiple location Service provider Data storage Data security Data correctness Data availability Data integrity
1 Introduction Cloud computing is a model for enabling both user-friendly and on-demand network access to a shared pool of configurable computing resources (for e.g., networks, servers, storage, application, and services) that can be rapidly provisioned and released with minimal management struggle or service provider cooperation. R.S. Krishnan (&) A. Radhakrishnan S. Sumesh Department of CS & IT, Amrita School of Arts and Sciences Kochi, Amrita Vishwa Vidyapeetham, Kochi, India e-mail: [email protected] A. Radhakrishnan e-mail: [email protected] S. Sumesh e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 S.S. Dash et al. (eds.), Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing 517, DOI 10.1007/978-981-10-3174-8_59
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In this paper we are focusing on cloud storage. Cloud storage is a specific sub offering within Infrastructure as a Service (IaaS). Private data of users is gathered on multiple third-party providers with cloud storage technology rather than on the dedicated providers used in conventional networked data storage. The basic requirements for cloud storage system include mass storage and low expense [1]. However, consumers are ready to store their important and sensitive data in cloud only if it provides security and integrity. Cloud storage system is facing many challenges nowadays. The major issue is concerned with the security of data which we store at servers and also it has threats from vendor who has cloud space. Another problem is in maintaining backup for the data. Apart from that, cloud also faces problems like Missing data (if the client did not access the data for a long period of time, the CSP automatically removes the data from its storage space), problem with synchronizing files, unknown errors (that
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