Abstract

This work contains results of developing an approach for detecting routing attacks in VANET networks using an artificial neural network. In the course of this work, such research methods as analysis and modeling were used to select the most promising approach for identifying routing attacks, as well as to develop a mock-up of a software system that detects Gray Hole attacks in VANETs. According to the results of experimental studies, the effectiveness of the developed software was evaluated.

中文翻译：

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人工神经网络在VANET攻击检测中的应用

摘要

这项工作包含开发使用人工神经网络在VANET网络中检测路由攻击的方法的结果。在这项工作的过程中，使用了诸如分析和建模之类的研究方法来选择最有前途的方法来识别路由攻击，并开发出可检测VANET中的Gray Hole攻击的软件系统的模型。根据实验研究的结果，评估了所开发软件的有效性。