Implementation of data mining to enhance the performance of cloud computing environment

Rao, Annaluri Sreenivasa; Ramana, Attili Venkat; Ramasubbareddy, Somula

doi:10.1504/ijcc.2022.121074

Cited by 2 publications

(1 citation statement)

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“…The security breach is the issue being addressed in cloud applications that cannot be ignored. Such breaching issues have been mitigated through the considered study 19 with the implementation of a decision tree chain algorithm for the purpose of classification and making decisions with higher‐end security for cloud services. It has provided policies and standards as significant for the management processes with security during the processing time.…”

Section: Literature Reviewmentioning

confidence: 99%

Maximizing blockchain security: Merkle tree hash values generated through advanced vectorized elliptic curve cryptography mechanisms

Sharma

Shandilya

Satapathy

2023

Concurrency and Computation

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SummaryCloud computing is considered as the most fabulous paradigm to accommodate various kinds of user information. However, the privacy conflicts integrated with computational complexities need more hybridized resource efficiency for hassle‐free accession. For this purpose, this article presents a cloud assisted, secured and privacy preserved protocol based on the elliptical curve cryptography (ECC) and blockchain consortium. Blockchain provides an innovative approach for storing information, establishing trust, and various other transactions in an open platform. There exists no single technology as a panacea to obtain optimum privacy and security in the complex cloud environment that needs several desired characteristics. Hence, an elite integration of multiple cryptographic methods by carefully analyzing the potential harms and pitfalls has to be framed to balance the trade‐off between privacy and security. The proposed technique highlights the user privacy preservation through guaranteeing that user information is safeguarded from unauthorized use or access. In accordance with that the present study enrolled the advantages of the ECC algorithm, vectorization, and blockchain methods to rule out the limitations of state of art methods. This article attempts to provide the most required privacy with optimum key generation, encryption, and decryption time. The present study has obtained optimal outcomes and the maximum percentage reduction w.r.t the existing method in key generation time, encryption time, and decryption time is given as 14.89%, 16.67%, and 12.5%, respectively.

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Section: Literature Reviewmentioning

confidence: 99%