Implementation of an Artificial Immune System to Mitigate Cybersecurity Threats in Unmanned Aerial Systems
Implementation of an Artificial Immune System to Mitigate Cybersecurity Threats in Unmanned Aerial Systems
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DOI：
10.1109/icii.2019.00013
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Meagan Shivers;Christian Llanes;Maxwell Sherman
中科院分区：
文献类型：
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作者：
Meagan Shivers;Christian Llanes;Maxwell Sherman
该项目旨在使用人工免疫系统来检测对minidrone动态的网络攻击。使用线性传递函数，零动态攻击被设计注入到系统中。为了进一步探索零动态如何从线性系统转化为非线性系统，使用随机值而不是系统的不稳定零点进行了类似的攻击。这些攻击然后通过地面站计算机注入。建立了一个离线人工免疫系统，并用于测试检测攻击的有效性。免疫系统使用离散的、二进制的、非自我识别算法来创建检测器并发现数据中的干扰。
This project aims to use an artificial immune system to detect cyber-attacks on the dynamics of a minidrone. Using linear transfer functions, a zero-dynamics attack was designed to be injected into the system. To further explore how zero-dynamics translates from linear to non-linear systems, a similar attack was made using a random value rather than an unstable zero of the system. These attacks were then injected via the ground station computer. An offline artificial immune system was created and used to test the effectiveness of detecting the attacks. The immune system uses a discrete, binary, non-self recognition algorithm to create detectors and find disturbances in the data.