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CYBER-ATTACK DETECTION, LOCALIZATION, AND NEUTRALIZATION FOR UNMANNED AERIAL VEHICLES

机译:无人飞行器的网络攻击检测,定位和中和

摘要

In some embodiments, an Unmanned Aerial Vehicle ("UAV") system may be associated with a plurality of monitoring nodes, each monitoring node generating a series of monitoring node values over time that represent operation of the UAV system. An attack detection computer platform may receive the series of current monitoring node values and generate a set of current feature vectors. The attack detection computer platform may access an attack detection model having at least one decision boundary (e.g., created using a set of normal feature vectors a set of attacked feature vectors). The attack detection model may then be executed and the platform may transmit an attack alert signal based on the set of current feature vectors and the at least one decision boundary. According to some embodiments, attack localization and/or neutralization functions may also be provided.
机译:在一些实施例中,无人飞行器(“ UAV”)系统可以与多个监视节点相关联,每个监视节点随时间生成代表UAV系统的操作的一系列监视节点值。攻击检测计算机平台可以接收一系列当前监视节点值,并生成一组当前特征向量。攻击检测计算机平台可以访问具有至少一个决策边界的攻击检测模型(例如,使用一组正常特征向量和一组攻击特征向量来创建)。然后可以执行攻击检测模型,并且平台可以基于当前特征向量的集合和至少一个决策边界来发送攻击警报信号。根据一些实施例,还可以提供攻击定位和/或抵消功能。

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