Cost-Effective Hybrid Control Strategies for Dynamical Propaganda War Game

IF 6.3 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS IEEE Transactions on Information Forensics and Security Pub Date : 2024-09-26 DOI:10.1109/TIFS.2024.3468903
Xiaojuan Cheng;Lu-Xing Yang;Qingyi Zhu;Chenquan Gan;Xiaofan Yang;Gang Li
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Abstract

Cyber propaganda wars significantly impact users on Online Social Networks (OSNs), potentially altering their psychological/ideological attitudes and behaviors. Understanding these behavioral dynamics necessitates models that can effectively capture the propagation of dual competitive information, encompassing both propaganda and counter-propaganda campaigns by both conflicting parties. However, current models do not adequately account for competitive information spreading in dual setting and it lacks efficient strategies for managing both propaganda and counter-propaganda investments. To bridge these gaps, our study presents an innovative netwORked dIfferENTial gAme wiTh hybrId cONtrol (ORIENTATION) framework that integrates differential game with 1) a degree-based network model characterizing the spreading dynamics of dual competitive information for both parties; and 2) a dual hybrid control mechanism consisting of investment rates by continuous-time propaganda and discrete-time counter-propaganda. Using this framework, we formulate the Hybrid-contrOlled Differential GamE (HODGE) problem. We theoretically derive the necessary conditions for Nash equilibrium, and develop an iterative algorithm, termed the HODGE algorithm, to numerically approximate the Nash equilibrium. Our experiments, performed on different groups of OSNs, reveal that the resulting strategy profiles consistently outperform several alternative profiles in terms of cost-effectiveness. Scalability assessment for the HODGE algorithm is then carried out on OSNs with different scales, demonstrating its strong performance in terms of computational efficiency, scalability and practicability. Additional experimental results suggest that a decrease in the lower bounds of the investment rates in both propaganda and counter-propaganda campaigns and an early implementation of counter-propaganda strategies can significantly enhance cost-effectiveness, offering strategic insights for those engaged in cyber propaganda war.
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经济高效的动态宣传战博弈混合控制策略
网络宣传战对在线社交网络(OSN)上的用户产生了重大影响,可能会改变他们的心理/意识形态态度和行为。要了解这些行为动态,就必须建立能有效捕捉双重竞争信息传播的模型,其中包括冲突双方的宣传和反宣传活动。然而,目前的模型并不能充分解释双重背景下的竞争信息传播,也缺乏管理宣传和反宣传投资的有效策略。为了弥补这些不足,我们的研究提出了一个创新的网络博弈与混合控制(ORIENTATION)框架,该框架将微分博弈与 1)表征双方双重竞争信息传播动态的基于度的网络模型;以及 2)由连续时间宣传和离散时间反宣传投资率组成的双重混合控制机制整合在一起。利用这一框架,我们提出了混合控制差分伽马问题(Hybrid-contrOlled Differential GamE,HODGE)。我们从理论上推导出了纳什均衡的必要条件,并开发了一种称为 HODGE 算法的迭代算法,用于数值逼近纳什均衡。我们在不同组别的 OSN 上进行的实验表明,所得出的策略配置文件在成本效益方面始终优于其他几种配置文件。随后,我们在不同规模的 OSN 上对 HODGE 算法的可扩展性进行了评估,结果表明该算法在计算效率、可扩展性和实用性方面表现出色。其他实验结果表明,降低宣传和反宣传活动的投资率下限以及尽早实施反宣传策略,可以显著提高成本效益,为参与网络宣传战的人员提供战略启示。
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来源期刊
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security 工程技术-工程:电子与电气
CiteScore
14.40
自引率
7.40%
发文量
234
审稿时长
6.5 months
期刊介绍: The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features
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