论文标题
数据驱动的网络攻击综合网络控制系统
Data-driven Cyberattack Synthesis against Network Control Systems
论文作者
论文摘要
网络控制系统（NCSS）由于严重依赖通信渠道而对网络攻击构成了独特的漏洞。这些通道可能容易窃听，虚假数据注入（FDI）和拒绝服务（DOS）。结果，更聪明的网络攻击可以采用多种技术来导致所考虑的NCS性能降解。我们考虑了一种白盒网络攻击综合技术，其中攻击者最初窃听系统数据并构建等效的系统模型。我们利用等效模型合成混合网络攻击 - FDI和DOS攻击对NCS的组合。等效NCS模型的可触及设置为选择要攻击的NCS代理提供了快速的实时指令。设计的方法为针对具有未知参数的NCSS提供了一种更现实的方法。我们使用多个汽车形成控制方案演示了提出的方法。
Network Control Systems (NCSs) pose unique vulnerabilities to cyberattacks due to a heavy reliance on communication channels. These channels can be susceptible to eavesdropping, false data injection (FDI), and denial of service (DoS). As a result, smarter cyberattacks can employ a combination of techniques to cause degradation of the considered NCS performance. We consider a white-box cyberattack synthesis technique in which the attacker initially eavesdrops to gather system data, and constructs equivalent system model. We utilize the equivalent model to synthesize hybrid cyberattacks -- a combination of FDI and DoS attacks against the NCS. Reachable sets for the equivalent NCS model provide rapid, real-time directives towards selecting NCS agents to be attacked. The devised method provides a significantly more realistic approach toward cyberattack synthesis against NCSs with unknown parameters. We demonstrate the proposed method using a multi-aerial vehicle formation control scenario.
