Abstract
Cloud storage is a fast-growing technology allowing multiple users to store data at one place. It can accommodate big data which is beyond the capacity of local storage due to limited space. Moreover, it is economic place as it charges customers on pay per use basis. When users transfer data from their local storage to cloud, during transmission, errors are detected and corrected by Secured Socket Layer (SSL) and Transport Layer Security (TLS). But what happen if it is altered after storing on cloud space. Supposed data is stored or uploaded on cloud space, and somebody enters into that space with malicious intention and makes some changes in the sensitive as well as financial data; then, how the users will come to know that their data had been breached and altered during it was stored on cloud space. For maintaining the data integrity, users encrypt it by some well-known algorithm like Data Encryption Standard (DES), Advanced Encryption Standard (AES), Rivest–Shamir–Adleman (RSA), Blowfish, International Data Encryption Algorithm (IDEA), and Dynamic Algorithm. These algorithms may be cracked by hit and trial method using large no. of available computing elements offered by cloud. This chapter proposes an algorithm that detects errors or unauthorized changes that may encounter in big data for the duration it was stored on cloud space.
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Tajammul, M., Shaw, R.N., Ghosh, A., Parveen, R. (2021). Error Detection Algorithm for Cloud Outsourced Big Data. In: Bansal, J.C., Fung, L.C.C., Simic, M., Ghosh, A. (eds) Advances in Applications of Data-Driven Computing. Advances in Intelligent Systems and Computing, vol 1319. Springer, Singapore. https://doi.org/10.1007/978-981-33-6919-1_8
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