交通网络容易受到虚假信息攻击
Traffic networks are vulnerable to disinformation attacks
摘要：
虚假信息由于其对社会的威胁越来越大而继续引起人们的关注。然而，迄今为止从未研究过对关键基础设施的虚假信息攻击。在这里，我们考虑交通网络，并专注于操纵驾驶员决策以制造拥堵的虚假信息。我们研究了对手在选择目标街道以最大限度地破坏时所面临的优化问题。我们证明，找到一个最佳的解决方案是计算上棘手的，这意味着对手别无选择，只能解决次优算法。我们分析了一个这样的启发式，并比较的情况下，目标分布在整个城市的芝加哥与集中在其商业区。令人惊讶的是，后者导致了更深远的破坏，其影响距离最近的目标2公里。我们的研究结果表明，关键基础设施中的漏洞不仅可能来自硬件和软件，还可能来自行为操纵。
英文摘要：
Disinformation continues to attract attention due to its increasing threat to society. Nevertheless, a disinformation-based attack on critical infrastructure has never been studied to date. Here, we consider traffic networks and focus on fake information that manipulates drivers' decisions to create congestion. We study the optimization problem faced by the adversary when choosing which streets to target to maximize disruption. We prove that finding an optimal solution is computationally intractable, implying that the adversary has no choice but to settle for suboptimal heuristics. We analyze one such heuristic, and compare the cases when targets are spread across the city of Chicago vs. concentrated in its business district. Surprisingly, the latter results in more far-reaching disruption, with its impact felt as far as 2 kilometers from the closest target. Our findings demonstrate that vulnerabilities in critical infrastructure may arise not only from hardware and software, but also from behavioral manipulation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
