Submit

Login Login

Register Register

Home / Journals / CMC / Online First / doi:10.32604/cmc.2025.059949
Journal Menu
Special Issues
Table of Content

All issues

Online First

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Open Access

ARTICLE

Provable Data Possession with Outsourced Tag Generation for AI-Driven E-Commerce

Yi Li1, Wenying Zheng2, Yu-Sheng Su3,4,5,*, Meiqin Tang6
1 School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2 School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou, 310018, China
3 Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, 621301, Taiwan
4 Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi, 621301, Taiwan
5 Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, 202301, Taiwan
6 School of Integrated Circuits, Wuxi Vocational College of Science and Technology, Wuxi, 214028, China
* Corresponding Author: Yu-Sheng Su. Email: email

Computers, Materials & Continua https://doi.org/10.32604/cmc.2025.059949

Received 21 October 2024; Accepted 25 February 2025; Published online 26 March 2025

Abstract

AI applications have become ubiquitous, bringing significant convenience to various industries. In e-commerce, AI can enhance product recommendations for individuals and provide businesses with more accurate predictions for market strategy development. However, if the data used for AI applications is damaged or lost, it will inevitably affect the effectiveness of these AI applications. Therefore, it is essential to verify the integrity of e-commerce data. Although existing Provable Data Possession (PDP) protocols can verify the integrity of cloud data, they are not suitable for e-commerce scenarios due to the limited computational capabilities of edge servers, which cannot handle the high computational overhead of generating homomorphic verification tags in PDP. To address this issue, we propose PDP with Outsourced Tag Generation for AI-driven e-commerce, which outsources the computation of homomorphic verification tags to cloud servers while introducing a lightweight verification method to ensure that the tags match the uploaded data. Additionally, the proposed scheme supports dynamic operations such as adding, deleting, and modifying data, enhancing its practicality. Finally, experiments show that the additional computational overhead introduced by outsourcing homomorphic verification tags is acceptable compared to the original PDP.

Keywords

Provable data possession; data auditing; cloud computing; e-commerce; bloom filter

  • 50

    View

  • 7

    Download

  • 0

    Like

Related articles

Share Link