Machine Learning Approach for Cybersecurity Implementation

H. Idris
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Abstract

Cybersecurity has become a necessary component among all aspects of modern life. The internet is becoming increasingly important in everyday life around the world. As people become more reliant on the internet, malicious attacks have become more likely. The increasing in cybersecurity is increasingly vulnerable to the ever-increasing risk of being attacked by many cyber dangers. This paper deals with the design and development of a malicious software removal application using deep learning (DL) approaches along with Artificial intelligence (AI) that will be able to identify and eliminate unwanted malicious software and understanding all of the recent advancements in detecting methods for potential cybersecurity threats.
网络安全实现的机器学习方法
网络安全已经成为现代生活各个方面的必要组成部分。互联网在世界各地的日常生活中变得越来越重要。随着人们越来越依赖互联网,恶意攻击的可能性也越来越大。随着网络安全水平的不断提高,受到多种网络危险攻击的风险也在不断增加。本文涉及使用深度学习(DL)方法以及人工智能(AI)设计和开发恶意软件删除应用程序,该应用程序将能够识别和消除不需要的恶意软件,并了解潜在网络安全威胁检测方法的所有最新进展。
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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