In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commercial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested for improving overall computer network security and data privacy. This article gives a thorough overview of recent literature regarding neural networks usage in intrusion detection system area, including surveys and new method proposals. Short tutorial descriptions of neural network architectures, intrusion detection system types and training datasets are also provided.

近年来，由于该技术在全球范围内的广泛应用，人工智能（AI）领域的发展获得了巨大的动力。人工智能的关键领域之一是神经网络（NN），它使商业上无法使用计算机的功能得以利用。入侵检测系统（IDS）代表了神经网络经过广泛测试以提高整体计算机网络安全性和数据隐私性的领域之一。本文全面介绍了有关入侵检测系统领域中神经网络用法的最新文献，包括调查和新方法建议。还提供了有关神经网络体系结构，入侵检测系统类型和训练数据集的简短教程说明。