重放攻击下雷达组网系统的目标跟踪性能

作为一种复杂的分布式系统,雷达组网系统受到各种攻击的威胁。为了研究赛博攻击对雷达组网系统性能的影响,提出一种针对雷达组网系统的重放攻击方式。首先建立目标运动模型和系统模型,其次分析了重放攻击对单站雷达位置估计误差的影响,基于此扩展到对雷达组网系统目标跟踪性能的影响,最后研究了攻击参数与位置估计误差的关系。通过仿真分别展示了单站雷达和雷达组网系统受到重放攻击时的状态估计误差,以及单站雷达和雷达网估计误差与攻击强度的关系。仿真结果表明:对于单站雷达,重放攻击可以造成巨大的跟踪误差,且攻击效果与攻击强度成正比关系。当攻击的对象是雷达组网系统时,需要合理地选择攻击参数才能产生明显的攻击效果。

Target Tracking Performance in Radar Network System under Replay Attack

As a complicated distributed system, radar network system encounters various attacks. In order to study the impact of cyber attacks on the performance of radar network system, a kind of replay attack mode for radar network system is proposed. Firstly, a target motion model and a system model are established. Then, the influence of the replay attack on the position estimation error of the mono static radar is analyzed. For the above mentioned reasons, the influence on the tacking performance of the radar network system is extended. Finally, the relationship between the attack parameter and the position estimation error is studied. The state estimation error of mono static radar and radar network system under replay attack, as well as the relationship between single station radar and radar network estimation error and attack strength are obtained by simulation. The simulation results show that for mono static radar, replay attacks can cause huge tracking errors, and the attack effect is directly proportional to the attack strength. When the target of replay attack is a radar network system, a reasonable selection of attack parameters is required to produce a significant attack effect.