Public Auditing Algorithm for Encrypted Data

Patil, Tejashri; Mahajan, Latesh S.; Bhole, Ashish T.

doi:10.1109/ctceec.2017.8455105

Cited by 3 publications

(1 citation statement)

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“…This paper [3] presents a public auditing algorithm for encrypted data in cloud storage environments. Authors aim to ensure data integrity, availability, and reliability while maintaining data privacy.…”

Section: Literature Surveymentioning

confidence: 99%

Use of data auditing for encrypted data stored in cloud environment

Harbola¹

2021

MSEA

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The exponential growth of data generation and the increasing reliance on cloud-based storage solutions have raised significant concerns regarding data security and privacy. The widespread adoption of encryption techniques has been effective in protecting data confidentiality, but it also introduces new challenges in terms of data auditing. This paper explores the use of data auditing techniques for encrypted data stored in cloud environments to ensure data integrity, availability, and accountability while preserving privacy. We first provide an overview of the current state of cloud storage security and encryption techniques, followed by a discussion on the importance of data auditing for encrypted data. The paper then delves into existing data auditing approaches, specifically focusing on Public Key-based Auditing (PKA) and Private Key-based Auditing (PrKA) schemes. We examine their advantages, drawbacks, and suitability for different scenarios, highlighting their ability to maintain data privacy without compromising the auditing process. To address the limitations of current auditing techniques, we propose an innovative hybrid auditing framework that combines the strengths of PKA and PrKA schemes. Our approach enables efficient data auditing while ensuring data confidentiality, integrity, and privacy. It also supports dynamic data operations, including insertion, deletion, and modification, allowing for seamless adaptation to various cloud storage environments. We validate the effectiveness of our proposed hybrid auditing framework through a series of experiments, comparing it with existing PKA and PrKA solutions. The results demonstrate the superiority of our framework in terms of security, privacy preservation, and performance, making it a promising solution for auditing encrypted data in cloud environments.

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Section: Literature Surveymentioning

confidence: 99%