A Blockchain-Based Detection and Control System for Model-Generated False Information

被引:0
|
作者
Liu, Chenlei [1 ,2 ,3 ]
Xu, Yuhua [1 ,2 ,3 ]
Hu, Bing [1 ,2 ,3 ]
Sun, Zhixin [1 ,2 ,3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Minist Educ, Key Lab Broadband Wireless Commun & Sensor Network, New Mofan Rd 66, Nanjing 210003, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Post Big Data Technol & Applicat Engn Res Ctr Jian, New Mofan Rd 66, Nanjing 210003, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Bur Internet Things Technol, Post Ind Technol Res & Dev Ctr State Posts, New Mofan Rd 66, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
blockchain; model-generated false information; information detection; traceability; FAKE NEWS; FRAMEWORK;
D O I
10.3390/electronics13152984
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the digital age, spreading false information has a far-reaching impact on various areas, such as society, politics, and the economy. With the popularization of applications of text generation models, the cost of producing false information has significantly decreased, making it challenging for human beings to screen it. Therefore, research on detection screening and early warning control for model-generated false information becomes particularly important. In this paper, we propose a model-generated false information detection and control system based on blockchain. Firstly, we design a model-generated false information detection method combining model-generated text discrimination based on a self-attention network and text similarity detection based on a twin network. Secondly, we construct a blockchain-based model-generated false information control and traceability system. It utilizes the proposed detection algorithm to provide early warning and control of model-generated false information involving important and sensitive events before social network release. For information judged to be model-generated false, the stored data on the blockchain is utilized to track and trace the publisher. Ultimately, experimental tests prove that the proposed detection method improves the accuracy of false information detection. In addition, the operational efficiency of the prototype system can meet quality of service requirements.
引用
收藏
页数:16
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