Department of Computer Science, Kyonggi University, Suwon-si 16227, Korea.
Ground Technology Research Institute, Agency for Defense Development (ADD), Daejeon 34186, Korea.
Sensors (Basel). 2022 Apr 20;22(9):3147. doi: 10.3390/s22093147.
Currently, in the field of military modernization, tactical networks using advanced unmanned aerial vehicle systems, such as drones, place an emphasis on proactively preventing operational limiting factors produced by cyber-electronic warfare threats and responding to them. This characteristic has recently been highlighted as a key concern in the functioning of modern network-based combat systems in research on combat effect analysis. In this paper, a novel iscrete-event-system-specification-based yber-lectronic arfare M& (D-CEWS) was first proposed as an integrated framework for analyzing communication effects and engagement effects on cyber-electronic warfare threats and related countermeasures that may occur within drones. Accordingly, for the first time, based on communication metrics in tactical ad hoc networks, an analysis was conducted on the engagement effect of blue forces by major wireless threats, such as multi-layered jamming, routing attacks, and network worms. In addition, the correlations and response logics between competitive agents were also analyzed in order to recognize the efficiency of mutual engagements between them based on the communication system incapacitation scenarios for diverse wireless threats. As a result, the damage effect by the cyber-electronic warfare threat, which could not be considered in the existing military M&S, could be calculated according to the PDR (packet delivery ratio) and related malicious pool rate change in the combat area, and the relevance with various threats by a quantifiable mission attribute given to swarming drones could also be additionally secured.
目前,在军事现代化领域,战术网络采用先进的无人机系统,如无人机,强调主动预防网络电子战威胁产生的作战限制因素,并对其做出响应。这一特点在最近的网络作战系统作战效能分析研究中被强调为现代网络作战系统的关键关注点。在本文中,首次提出了一种基于离散事件系统规范的新型网络电子战建模与仿真(D-CEWS),作为一种分析无人机内部可能发生的网络电子战威胁以及相关对策的通信效果和交战效果的综合框架。相应地,首次基于战术自组织网络中的通信指标,分析了主要无线威胁(如多层干扰、路由攻击和网络蠕虫)对蓝军的交战效果。此外,还分析了竞争代理之间的相关性和响应逻辑,以便根据各种无线威胁对通信系统的失效场景,识别它们之间相互交战的效率。因此,根据作战区域内的分组投递率(PDR)和相关恶意池率的变化,可以计算出现有军事 M&S 中无法考虑的网络电子战威胁的破坏效果,并且可以通过赋予蜂群无人机的可量化任务属性来确保与各种威胁的相关性。