有隐藏账户的社交网络上恶意新闻传播的优化控制模型

Ankur Jain , Joydip Dhar
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引用次数: 0

摘要

极端分子越来越多地利用社交媒体招募和激进化其他用户,并增加他们的资金。恐怖分子可以利用流行的社交网络账户,以隐蔽的方式开展活动。因此,建立一个有效的机制来控制错误信息的传播至关重要。否则,会有大量的人被这种恐怖活动误导,加入他们的行列。在此,我们提出了包含社交网络隐藏攻击者的恶意新闻传播模型。我们定义了一个阈值来决定恶意新闻是否会从社交网络中消失。在此,我们展示了网络警觉性和网络安全机构活动在修正模型中的重要性。此外,我们还获得了紧急情况下控制参数的最佳值。
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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.

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来源期刊
Results in Control and Optimization
Results in Control and Optimization Mathematics-Control and Optimization
CiteScore
3.00
自引率
0.00%
发文量
51
审稿时长
91 days
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