Optimum control model of Malicious news spread on Social networks having Hidden accounts

Extremists are increasingly using social media to recruit and radicalize other users and increase their money. Terrorists can use popular social networks accounts and perform their activities in a hidden way. So, it is crucial to create a fruitful mechanism for controlling the spread of misinformation. Otherwise, a large number of people can mislead by this terrorist activity by joining them. Here, we propose malicious news spreading model incorporating hidden attackers of a social network. A threshold is defined for deciding the extinction of malicious news from a social network. Here, we show the importance of network alertness and activity of cybersecurity agencies in the modified model. Moreover, we obtained the optimal values of the control parameters for emergencies.

Authors

Publication Details

Journal
Results in Control and Optimization
Published
2024-09-20
DOI
https://doi.org/10.1016/j.rico.2024.100468
Citations
1
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.78
Controls
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article

Optimum control model of Malicious news spread on Social networks having Hidden accounts

Joydip Dhar, Ankur Jain
1 citations
Results in Control and Optimization
Spam and Phishing Detection
0.78
article

Optimum control model of Malicious news spread on Social networks having Hidden accounts

Joydip Dhar, Ankur Jain
article en
1 citations

Abstract

Extremists are increasingly using social media to recruit and radicalize other users and increase their money. Terrorists can use popular social networks accounts and perform their activities in a hidden way. So, it is crucial to create a fruitful mechanism for controlling the spread of misinformation. Otherwise, a large number of people can mislead by this terrorist activity by joining them. Here, we propose malicious news spreading model incorporating hidden attackers of a social network. A threshold is defined for deciding the extinction of malicious news from a social network. Here, we show the importance of network alertness and activity of cybersecurity agencies in the modified model. Moreover, we obtained the optimal values of the control parameters for emergencies.

Results in Control and OptimizationVol. 17
Openalex Percentile: Top 21%
Spam and Phishing Detection
0.78
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