人工智能在网络安全中的应用优势与劣势

J. Souza
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引用次数: 0

摘要

本文对人工智能在网络安全中的应用进行了分析,并试图探索其弱点,以及如何将其用于网络攻击。人工智能始于20世纪50年代,多年来,几位研究人员为其改进做出了贡献,神经心理学家Mcculloch和逻辑学家Pitts提出的神经网络等技术,专家系统的创建与人工智能的构建相关,今天人工智能非常先进,涵盖了各种子领域,其中受益最多的领域是网络安全,它被应用于欺诈检测,取证调查、拒绝攻击(Ddos)、病毒检测等。由于它能够重用威胁模式,因此可以减少时间和成本。人工智能带来的这种技术能力也可以用于网络攻击,特洛伊Emotet就是这种类型攻击的一个原型。2017年,袭击150个国家的Wannacry网络攻击让我们见识到了大规模网络攻击的威力。这就是为什么专家们担心使用反人工智能,这使得攻击变得越来越复杂和不可预测。人工智能将继续影响技术安全领域,使用人工智能的收益远大于损失,如果在网络安全领域没有人工智能,就不可能抑制网络犯罪攻击
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FORTALEZAS E FRAGILIDADES NO USO DA INTELIGÊNCIA ARTIFICIAL NA CIBERSEGURANÇA
This article develops an analysis of the use of artificial intelligence in cybersecurity and tries to explore its weaknesses, and how it can be used for cyber-attacks. Artificial Intelligence began in the 1950s and over the years several researchers have contributed to its improvement, techniques such as the Neural Network proposed by neuropsychologist Mcculloch and the logician Pitts , the creation of expert systems had relevance in its construction, today the artificial intelligence is super advanced and covers a variety of subfields , among the areas that benefited most from its use is the cybersecurity where it is applied in the detection of fraud, forensic investigation, denial attacks (Ddos), virus detection, and more. Because of its ability to reuse threat patterns it can reduce time and costs. This technological capability that Artificial Intelligence brings can also be used for Cyberattacks, the Trojan Emotet is an example of a prototype attack of this type. In 2017 the Wannacry attack that hit 150 countries gave us a taste of what a large-scale cyber-attack can do. This is why experts fear the use of opposing Artificial Intelligence, which has made attacks increasingly sophisticated and unpredictable. Artificial intelligence will continue to impact the technological security landscape and there are many more gains than losses from its use, and without it in cybersecurity it will not be possible to inhibit cyber-criminal attacks
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