Cloud computing environment (CCE) can empower an association to re-appropriate computing resources to increase monetary benefits. For both developers and the cloud users (CUs), CCE is transparent. Accordingly, it presents new difficulties when contrasted with precedent types of distributed computing. The precision of assessment results in CCE security risk assessment to take care of the issue of the multifaceted nature of the system and the classified fuzzy cloud method (CFCM) applied to CCE chance ID stage that captures the CCE risk factors through a complete investigation of CCE security area. Current CCE frameworks present a specific restriction on ensuring the client’s INFO privacy. We offer a homomorphic proxy re-encryption (HPRE) in this paper that enables various CU to share INFO that they redistributed HPRE encrypted utilizing their PubKs with the plausibility by a close procedure such as INFO remotely. The test of giving secrecy, uprightness, and access control (AC) of INFO facilitated on cloud stages is not provided for by conventional AC models. CFCM models were created through the duration of numerous decades to satisfy the association’s necessities, which accepted full authority over the physical structure of the assets. The hypothesis of the INFO proprietor, an INFO controller, and a supervisor is available in the equivalent trusted area. Besides, CCESR features like the essential unit, fuzzy set (FS) hypothesis, and EW strategy utilized to precisely measure the likelihood of CCE security risks (SR) and the subsequent damages of CCESR estimation. Eventually, the computation and authentication model specified, and the lack of CCE SECU threat evaluation examined.
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Veerabathiran, V.K., Mani, D., Kuppusamy, S. et al. Improving secured ID-based authentication for cloud computing through novel hybrid fuzzy-based homomorphic proxy re-encryption. Soft Comput 24, 18893–18908 (2020). https://doi.org/10.1007/s00500-020-05119-9
- Cloud security
- Fuzzy set theory
- Risk assessment
- Access control mechanism