Private Data Protection in Social Networks Based on Blockchain
| Autor: | Pingshui Wang, Jianwen Zhu, Qinjuan Ma |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | International Journal of Advanced Networking and Applications. 14:5549-5555 |
| ISSN: | 0975-0290 0975-0282 |
| Popis: | With the rapid development of big data and social networks, user data in social networks are facing huge risks of privacy leakage. It is urgent to establish a complete and effective method for protecting private data in social networks. Based on the problem of information leakage in social networks, classifies user privacy data, and constructs different privacy data protection schemes through blockchain time stamp recording data storage, hash function anonymous operation of data, asymmetric encryption and digital signature of sending information. The blockchain-based privacy data protection method in social networks can effectively solve the privacy leakage problem in social networks, and provide a reference for the research in the field of information security and social network security. This paper designs a new blockchain-based privacy data protection scheme for different privacy disclosure categories, which provides a new solution to the current privacy disclosure problem in social networks. However, the existing methods will consume a lot of computational power in the process of information interaction. The subsequent research will optimize the computational power of blockchain and try to build a better blockchain social network privacy data protection system. |
| Databáze: | OpenAIRE |
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