Intelligent Intrusion Detection System for a Group of UAVs
Intelligent Intrusion Detection System for a Group of UAVs
复制标题
无人机群智能入侵检测系统
DOI：
10.1007/978-3-030-78811-7_22
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
E. Abramov
中科院分区：
文献类型：
--
作者：
E. Basan;M. Lapina;N. Mudruk;E. Abramov
今天，无人机组的创建正在成为一个非常受欢迎和相关的任务。然而，无人机的使用并不安全，因为它们不仅容易受到入侵者的攻击，而且容易受到环境影响。因此，必须及时发现异常的发生。这项工作的目的是发现无人机群中的异常情况，并确定攻击类型。为了完成这一任务，作者已经开发了一个实验台，模拟交通传输的无人机组。这项研究是基于在正常运行和攻击下的流量传输模式的变化的调查。使用开发的测试平台收集用于训练神经网络的数据集。
Today, the creation of UAV groups is becoming a very popular and relevant task. Nevertheless, the use of UAVs is not securely, since they are vulnerable not only to attacks by an intruder, but also to environmental influences. Thus, the occurrence of anomalies must be detected in time. This work is aimed at detecting anomalies in UAV groups and determining the type of attack. To accomplish this task, the authors have developed an experimental stand emulating traffic transmission in a UAV group. The study is based on the investigation of changes in traffic transmission patterns during normal operation and under attacks. Data sets for training a neural network were collected using an developed testbed.