Yi Li¹, Wenying Zheng², Yu-Sheng Su^3,4,5,*, Meiqin Tang⁶

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2719-2734, 2025, DOI:10.32604/cmc.2025.059949 - 16 April 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 More >

Guodong Han, Hecheng Li^*

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2121-2137, 2024, DOI:10.32604/cmc.2024.053077 - 15 August 2024

Abstract Currently, there is a growing trend among users to store their data in the cloud. However, the cloud is vulnerable to persistent data corruption risks arising from equipment failures and hacker attacks. Additionally, when users perform file operations, the semantic integrity of the data can be compromised. Ensuring both data integrity and semantic correctness has become a critical issue that requires attention. We introduce a pioneering solution called Sec-Auditor, the first of its kind with the ability to verify data integrity and semantic correctness simultaneously, while maintaining a constant communication cost independent of the audited… More >

Yining Qi^1,2,*, Yubo Luo³, Yongfeng Huang^1,2, Xing Li^1,2

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2603-2618, 2023, DOI:10.32604/iasc.2023.030191 - 17 August 2022

Abstract Cloud storage has been widely used to team work or cooperation development. Data owners set up groups, generating and uploading their data to cloud storage, while other users in the groups download and make use of it, which is called group data sharing. As all kinds of cloud service, data group sharing also suffers from hardware/software failures and human errors. Provable Data Possession (PDP) schemes are proposed to check the integrity of data stored in cloud without downloading. However, there are still some unmet needs lying in auditing group shared data. Researchers propose four issues… More >

Yining Qi^1,2,*, Yubo Luo³, Yongfeng Huang^1,2, Xing Li^1,2

Computer Systems Science and Engineering, Vol.45, No.1, pp. 183-199, 2023, DOI:10.32604/csse.2023.031030 - 16 August 2022

Abstract Progress in cloud computing makes group data sharing in outsourced storage a reality. People join in group and share data with each other, making team work more convenient. This new application scenario also faces data security threats, even more complex. When a user quit its group, remaining data block signatures must be re-signed to ensure security. Some researchers noticed this problem and proposed a few works to relieve computing overhead on user side. However, considering the privacy and security need of group auditing, there still lacks a comprehensive solution to implement secure group user revocation,… More >

Yining Qi^1,2,*, Zhen Yang³, Yubo Luo⁴, Yongfeng Huang^1,2, Xing Li^1,2

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2205-2221, 2022, DOI:10.32604/cmc.2022.027939 - 16 June 2022

Abstract Provable Data Possession (PDP) schemes have long been proposed to solve problem of how to check the integrity of data stored in cloud service without downloading. However, with the emerging of network consisting of low performance devices such as Internet of Things, we find that there are still two obstacles for applying PDP schemes. The first one is the heavy computation overhead in generating tags for data blocks, which is essential for setting up any PDP scheme. The other one is how to resist collusion attacks from third party auditors with any possible entities participating… More >