Machine Learning based Cybersecurity Technique for Detection of Upcoming Cyber Attacks

Kanchi Lohitha Lakshmi, S.Shobana, B. P. Kumar, K.B.Glory, Bonda Kiran Kumar, Sandya Rani
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Abstract

Cyberattacks are prevalent in the age of the Internet. Each year, both the quantity and severity of cybercrimes increase. Protection against cyber-attacks has become a primary responsibility, Significant in the internet society of today. However, providing cyber security is a highly difficult task that requires experience in the field of attacks and the ability to evaluate the possibility of threats. The continual evolution of cyberattacks is the biggest challenge in this industry. This article describes the significance of cyber security and enumerates the hazards that exist in the present digital environment. The statistics and evaluation of cyberattacks demonstrate the seriousness of these occurrences. Several sorts of cyber security threats are outlined, along with the machine learning approaches that may be used to detect these attacks.
基于机器学习的网络安全技术检测即将到来的网络攻击
网络攻击在互联网时代非常普遍。每年,网络犯罪的数量和严重程度都在增加。防范网络攻击已成为首要责任,在当今的互联网社会意义重大。然而,提供网络安全是一项非常困难的任务,需要在攻击领域的经验和评估威胁可能性的能力。网络攻击的不断演变是该行业面临的最大挑战。本文阐述了网络安全的重要性,列举了当前数字环境中存在的危害。对网络攻击的统计和评估表明了这些事件的严重性。概述了几种类型的网络安全威胁,以及可能用于检测这些攻击的机器学习方法。
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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