Analysis and Response Strategy of Cross-community Rumors Using Mixed Multilayer Method for Enterprise Cyber Warriors

In the age of information explosion, it is easy for people to receive many messages, and it is difficult to verify the authenticity of each message. Therefore, people often quickly and forward the acquired information and share anonymous information, rather than absorbing it after verification. The...

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Bibliographic Details
Published in:IEEE access 2022-01, Vol.10, p.1-1
Main Authors: Ma, Yi-Wei, Chang, Chun-Yao, Chiang, Yen-Neng, Chen, Jiann-Liang, Chen, Chih-Hung, Chang, Wen-Tsung, Yang, Shun-Ching, Lai, Ying-Hsun
Format: Article
Language:English
Subjects:
Analytical models
Artificial intelligence
Classification algorithms
Cross-community rumors
Enterprise cyber warrior
Enterprise information management
Fake news
False information
Messages
Mixed analysis method
Motivation
Multilayers
Predictive models
Response strategies
Social networking (online)
Warfare
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Summary:In the age of information explosion, it is easy for people to receive many messages, and it is difficult to verify the authenticity of each message. Therefore, people often quickly and forward the acquired information and share anonymous information, rather than absorbing it after verification. The study questions current Artificial Intelligence (AI) detection methods, arguing that a simple dichotomy cannot distinguish between true and false information. This study proposes a mixed method to analyze events based on the dissemination and interaction of false information in online enterprise communities from the perspective of an observer. The event explores multiple features based on various characteristics, such as motivation, purpose, intention, and behavior. Experimental results show that the proposed method can effectively identify false information with high risk. Additionally, this study discusses the effectiveness and response strategies of the enterprise cyber warrior based on the mixed multi-layer analysis. This study provides a preliminary study of mixed cognitive warfare identification and immediate response behavior for corporate Internet rumors.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3228113