A Privacy Protection Scheme for Consumer Electronics Data Based on Blockchain and AI
As information technology advances, a significant amount of data related to consumer electronics has emerged, the consumer data is commonly stored on cloud servers, resulting in frequent data leaks and privacy breaches. To tackle these challenges, we propose a novel privacy protection scheme that combines encryption and blockchain technologies. This approach integrates Searchable Encryption, Blockchain, and Artificial Intelligence (AI) to facilitate efficient access control and policy enforcement. By employing a decentralized network structure, our scheme minimizes reliance on a central authority, thereby enhancing system security and reliability. User information is independently stored in both blockchain and cloud systems, with digital signatures ensuring data accuracy. To further bolster user privacy, we implement attribute-based encryption for access management and utilize AI for real-time monitoring of potential security threats and suspicious access patterns. Our scheme also features an attribute revocation mechanism to protect sensitive information from unauthorized access. Additionally, customized smart contracts promote equitable interactions between users and cloud service providers. Lastly, the theoretical analyses and experimental results validate that our solution is both secure and efficient in safeguarding consumer data, highlighting its significant innovative contributions to data privacy protection.
Authors
- Saru Kumari (ORCID: https://orcid.org/0000-0003-4929-5383)
- Mohammed J. F. Alenazi (ORCID: https://orcid.org/0000-0001-6593-112X)
- Fa Zhu (ORCID: https://orcid.org/0000-0002-7089-5386)
- Luping Wang (ORCID: https://orcid.org/0000-0002-6712-314X)
- Hongjie Wu (ORCID: https://orcid.org/0000-0002-5454-1860)
- Chen Yan
Institutions
- Nanjing Forestry University (CN)
- King Saud University (SA)
- Chaudhary Charan Singh University (IN)
- Suzhou University of Science and Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Consumer Electronics
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1109/tce.2025.3563943
- Citations
- 4
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 9.79
Funders
- National Natural Science Foundation of China