Overview

The demand for cloud computing increases day by day and this also increases the need for Security for the same. Several researchers focused on the objective to provide security to the cloud platform but till now no one ensures it. So, similar to the same focus firstly the study of different methods like Encryption, authentication, and many others discussed in this work and then based on the recent analysis some of the methods were selected in the work to propose a novel approach. This work is done in three different phases which involved (a) Cryptography based Frameworks, (b) Proposed Fragmentation Framework, (c) Proposed Biometric-based Framework. To analyse the performance of all these phases, five different datasets are prepared with the combination of different types of data files like Image, Audio, and Video. In this, the data size varies from 100 to 300 files and the maximum size of data is 289810KB. The performance is analysed on every phase based on different parameters depending on the phase. In phase 1, three cloud environments are generated where different security algorithms are added and performance is analysed based on Time, Throughput, and size of Data after Encryption. These three environments use Diffie-Hellman, proxy reencryption, HASBE and Blowfish, RSA with ECC algorithms, and results are calculated for all these algorithms. After analysis, it is clear that the performance of cloud environment-3 in phase 1 is better in terms of Time, Throughput, and size of Data. In this environment, Keyword Encryption and Hybrid Cryptographic Algorithm are used which works based on RSA with ECC Algorithm. Though this scheme provides end to end security in a cloud environment yet, it can be forged. So, to enhance the framework different researchers followed fragmentation-based techniques in which data is first divided into small portions called fragments and then after encryption, it will be uploaded on different cloud servers to protect data against various forgeries. Different researchers also performed well on the same but none of them focus on the data loss due to fragmentation. As data is of different types so, the same fragmentation will be one cause of the data loss. So, to cope up with this issue a new FragSecure framework is proposed in the second phase of this work. In this framework, the type of data uploaded on the cloud server plays its major role and use for fragmentation

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