Cyber security using Machine Learning in Digital Education industry

Sonal Shukla, Anand Sharma
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引用次数: 2

Abstract

In modern digital era, as the technological advancements are touching the new heights over internet, so is the crimes related to it. Education industry is no exception. Education sector is facing many cyber threats like application security, patching cadence and point to point security. It is important to understand the need of cyber security and what is at risk. In this paper, we bring light on existing scenario of cyber security in Education including the challenges and how we can make it as a priority, by implementing cyber security through machine learning techniques. Machine learning, subsets of artificial intelligence, for security in cyber world has become an avenger, due to its effectiveness. It provides great help to detect any threats in security, far better than any other software oriented ways, which is a great helps to security analysts.
在数字教育行业使用机器学习的网络安全
在现代数字时代,随着技术进步在互联网上达到新的高度,与之相关的犯罪也达到了新的高度。教育行业也不例外。教育部门面临着许多网络威胁,如应用程序安全、补丁节奏和点对点安全。了解网络安全的必要性以及面临的风险是很重要的。在本文中,我们揭示了教育网络安全的现有情况,包括挑战以及我们如何通过机器学习技术实现网络安全,将其作为优先事项。机器学习作为人工智能的子集,由于其有效性,已经成为网络世界安全的复仇者。它对检测任何安全威胁提供了很大的帮助,远远优于其他任何面向软件的方法,这对安全分析人员有很大的帮助。
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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