无线网络入侵检测技术综述

S. Maheswari, J. C. Miraclin Joyce Pamila
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引用次数: 0

摘要

近年来,由于行业广泛采用人工智能(AI)技术,人工智能(AI)的发现越来越多。人工智能的重要领域是神经网络,它允许商业使用以前无法通过计算机使用的功能。神经网络在提高一般安全性和数据隐私方面得到广泛研究的领域之一是入侵检测。本文使用各种机器学习方法,对神经网络拓扑和入侵检测系统类型的最新研究进行了全面回顾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Wireless Network Intrusion Detection
Artificial Intelligence (AI) discoveries have intensified in recent years as a result of the industry’s widespread adoption of this technology. The important field of AI is neural networks, that allow commercial usage of capabilities that were previously unattainable through computer use. One of the domains in which neural network is widely studied for increasing general security and data privacy is IDS. Using various machine learning approaches, this article provides a complete review of recent research on neural network topologies and types of intrusion detection systems.
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