论文标题
使用基于无人机中智能代理的方法之间的无人机之间的沟通
Secure communication between UAVs using a method based on smart agents in unmanned aerial vehicles
论文作者
论文摘要
可以部署无人驾驶汽车（UAV）来监视非常大的区域，而无需网络基础设施。无人机在飞行过程中相互通信，并彼此交换信息。但是，由于其动态拓扑，这种沟通构成了安全挑战。为了解决这些挑战，提出的方法使用两个阶段来应对恶意无人机攻击。在第一阶段，我们应用了许多规则和原则来检测恶意无人机。在此阶段，我们尝试根据网络中无人机的行为来识别和删除恶意无人机，以防止向调查的无人机发送虚假信息。在第二阶段，基于三步谈判过程的移动代理用于消除恶意无人机。通过这种方式，我们使用移动代理通知我们普通的邻居无人机，以便他们不收听恶意无人机生成的数据。因此，每个无人机的移动代理通过三步谈判过程使用可靠的邻居，以便他们不聆听恶意无人机产生的流量。 NS-3模拟器用于证明SAUAV方法的效率。所提出的方法比CST-UA，CS-AVN，HVCR和基于BSUM的方法更有效，其检测率，假阳性率，假负率，数据包输送率和剩余能量。
Unmanned aerial vehicles (UAVs) can be deployed to monitor very large areas without the need for network infrastructure. UAVs communicate with each other during flight and exchange information with each other. However, such communication poses security challenges due to its dynamic topology. To solve these challenges, the proposed method uses two phases to counter malicious UAV attacks. In the first phase, we applied a number of rules and principles to detect malicious UAVs. In this phase, we try to identify and remove malicious UAVs according to the behavior of UAVs in the network in order to prevent sending fake information to the investigating UAVs. In the second phase, a mobile agent based on a three-step negotiation process is used to eliminate malicious UAVs. In this way, we use mobile agents to inform our normal neighbor UAVs so that they do not listen to the data generated by the malicious UAVs. Therefore, the mobile agent of each UAV uses reliable neighbors through a three-step negotiation process so that they do not listen to the traffic generated by the malicious UAVs. The NS-3 simulator was used to demonstrate the efficiency of the SAUAV method. The proposed method is more efficient than CST-UAS, CS-AVN, HVCR, and BSUM-based methods in detection rate, false positive rate, false negative rate, packet delivery rate, and residual energy.
