SEPDP: Secure and Efficient Privacy Preserving Provable data possession in Cloud Storage

Project Code :TCMAPY1037

Objective

The objective is to challenge the claim of a recent provable data possession scheme, as described in the paper, by demonstrating that it fails to ensure storage correctness. The focus is on revealing vulnerabilities where a malicious cloud can produce fraudulent proof to pass third-party auditor verification without fully storing the user's file.

Abstract

This work introduces a secure and efficient privacy-preserving provable data possession (SEPDP) model within the context of cloud computing. With cloud storage reducing costs for data owners, concerns arise regarding data integrity and security risks due to loss of physical control. SEPDP addresses these challenges by enabling data possession verification while preserving privacy. The proposed model is extended to support multiple owners, data dynamics, and batch verification, offering an attractive feature of low computational overhead for auditors to verify data possession in the cloud.

Keywords: Cloud computing, upload files, send request, Download file.

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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