Safeguarding Data through Homomorphic Cryptosystems in Cloud Storage | Chapter 4 | Theory and Applications of Engineering Research Vol. 1

 In this division, we have given exercise and performance details of two homomorphic encryption blueprints, Rivest Shamir Adleman (RSA) and Paillier. The RSA is multiplicative homomorphic scheme place the Paillier is additive homomorphic scheme. Cloud estimating is a revolutionary electronics that enables users to approach and utilize estimating resources, including servers, depository, databases, and software uses, over the internet. It operates on a broad network of remote servers, admitting seamless scalability, cost-efficiency, and adaptable data administration. By allowing users to use detached resources, cloud calculating lightens the load on local storage. But using these aids creates a whole new set of issues. Since consumers have no control over the data they save on those depository devices, it is critical to accomplish data confirmation and secrecy. Since not all user possesses that level of information, they can ask Trusted Verifier (TV), an approved third party, to do dossier verification on their favor in order to ensure that the outsourced dossier is intact.  Since the dossier owner stores the data on the cloud in an encrypted layout, it becomes troublesome to check the integrity of the data outside decrypting. But by using homomorphic encryption blueprints the integrity checking maybe made attainable without original copy. Using the homomorphic properties of RSA or Paillier cryptosystems, we can check the wholeness of remotely stocked data without bearing the original copy, thus can reach public auditability.  Due to their partial homomorphism, both methods have limited service. Owing to these methods' homomorphic nature, the original essences will remain secret during the verification process. By continuing secrecy, this design will enable data confirmation.

Author(s) Details:

Vidyullata Devmane,
Shah & Anchor Kutchhi Engineering College, Mumbai, India.

B. K. Lande,
Electronics Department, Datta Meghe College of Engineering, Navi Mumbai, India.

Jyoti Joglekar,
Computer Engineering Department, K.J. Somaiya College of Engineering, Mumbai, India.

Dilendra Hiran,
Pacific Academy Higher Education Research University, Udaipur, India.

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