Enabling Fast Public Auditing and Data Dynamics in Cloud Services

Project Code :TCMAPY1023

Objective

The objective is to optimize public auditing for encrypted data in cloud servers, emphasizing efficient support for data dynamics. We aim to enhance data modification, insertion, and deletion speeds, significantly reducing the third-party auditor's computational cost, ensuring data integrity and privacy against an untrusted cloud.

Abstract

This paper addresses the challenge of efficiently supporting data dynamics in public auditing for encrypted cloud storage. Identifying cost limitations in existing schemes, we introduce a novel auditing protocol that achieves orders of magnitude faster data dynamics operations. Our challenge-response protocol significantly reduces the computation cost for Third-Party Auditors, enhancing verification speed. Through rigorous performance and security analyses, our proposed scheme demonstrates minimal computation costs while ensuring data integrity and privacy in an untrusted cloud environment. This research contributes a highly efficient solution, surpassing previous methods in speed and maintaining fundamental principles of data security in the cloud.

Keywords: cloud computing, encrypt data, upload files, send request, and download files.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W CONFIGURATION:

Processor - I3/Intel Processor

Hard Disk - 160GB

Key Board - Standard Windows Keyboard

Mouse - Two or Three Button Mouse

Monitor - SVGA

RAM - 8GB


S/W CONFIGURATION:

β€’ Operating System :  Windows 7/8/10

β€’ Server side Script :  HTML, CSS, Bootstrap & JS

β€’ Programming Language :  Python

β€’ Libraries :  Django/flask, Pandas, Mysql.connector, Os, Smtplib, Numpy

β€’ IDE/Workbench :  PyCharm

β€’ Technology :  Python 3.6+

β€’ Server Deployment :  Xampp Server


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