Reinforcing Cyber World Security with Deep Learning Approaches

K. Sathya, J. Premalatha, S. Suwathika
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引用次数: 6

Abstract

In the past decade, the Machine Learning (ML) and Deep learning (DL) has produced much research interest in the society and attracted them. Now-a-days, the Internet and social life make a lead in most of their life but it has serious social threats. It is a challenging thing to protect the sensitive information, data network and the computers which are in unauthorized cyber-attacks. For protecting the data’s we need the cyber security. For these problems, the recent technologies of Deep learning and Machine Learning are integrated with the cyber-attacks to provide the solution for the problems. This paper gives a synopsis of utilizing deep learning to enhance the security of cyber world and various challenges in integrating deep learning into cyber security are analyzed.
利用深度学习方法加强网络世界安全
在过去的十年中,机器学习(ML)和深度学习(DL)引起了社会的广泛关注。如今,互联网和社交生活在他们的大部分生活中占据主导地位,但它也有严重的社会威胁。在未经授权的网络攻击中保护敏感信息、数据网络和计算机是一件具有挑战性的事情。为了保护数据,我们需要网络安全。针对这些问题,将深度学习和机器学习的最新技术与网络攻击相结合,为这些问题提供了解决方案。本文概述了利用深度学习来增强网络世界的安全性,并分析了将深度学习集成到网络安全中的各种挑战。
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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