Can machine learning be used to detect malware?

A. Lima
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引用次数: 0

Abstract

Nowadays everyone has one or even more than one smartphone or tablet. The existing applications with the most diverse purposes allow us to perform a series of tasks such as using home banking or checking the email, using only our smartphone/tablet. Android OS being one of the most used in this type of equipment becomes an appealing target for viruses, malware and others. At a time when technology is evolving faster and faster, both in terms of hardware and software, Artificial Intelligence has more and more weight in technological evolution, being used in the most diverse purposes. This review aims to demonstrate how Machine Learning can assist in identifying vulnerabilities in Android OS.
机器学习可以用来检测恶意软件吗?
现在每个人都有一个甚至不止一个智能手机或平板电脑。现有的应用程序具有最多样化的目的,允许我们执行一系列的任务,如使用家庭银行或检查电子邮件,只用我们的智能手机/平板电脑。Android操作系统是这类设备中使用最多的操作系统之一,成为病毒、恶意软件和其他软件的诱人目标。在一个技术发展越来越快的时代,无论是在硬件还是软件方面,人工智能在技术发展中所占的比重越来越大,被用于各种各样的目的。本文旨在演示机器学习如何帮助识别Android操作系统中的漏洞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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