As disinformation-driven cognitive attacks become increasingly sophisticated, the ability to quantify their impact is essential for advancing cybersecurity defense strategies. This paper presents a novel framework for measuring the engagement effectiveness of cognitive attacks by introducing a weighted interaction metric that accounts for both the type and volume of user engagement relative to the number of attacker-generated transmissions. Applying this model to real-world disinformation campaigns across social media platforms, we demonstrate how the metric captures not just reach but the behavioral depth of user engagement. Our findings provide new insights into the behavioral dynamics of cognitive warfare and offer actionable tools for researchers and practitioners seeking to assess and counter the spread of malicious influence online.

翻译：随着虚假信息驱动的认知攻击日益复杂化，量化其影响的能力对于推进网络安全防御策略至关重要。本文提出了一种新颖的框架，通过引入加权交互度量指标来测量认知攻击的参与有效性，该指标综合考虑了用户参与的类型和数量相对于攻击者生成传播量的比例。通过将此模型应用于社交媒体平台上的真实虚假信息传播活动，我们展示了该度量指标如何不仅捕捉传播范围，还能捕获用户参与的行为深度。我们的研究结果为认知战的行为动态提供了新的见解，并为寻求评估和对抗网络恶意影响传播的研究人员和从业者提供了可操作的工具。