网络入侵检测中人工智能与机器学习的应用研究
Research on the Application of Artificial Intelligence and Machine Learning in Network Intrusion Detection
梁铭1
作者信息
- 1. 苏州工业园区职业技术学院,江苏苏州 215000
- 折叠
摘要
随着互联网的快速发展,网络入侵和安全漏洞已经成为当今数字时代的主要挑战.为了应对不断演进的网络攻击,传统的基于规则的入侵检测系统已显得力不从心.因此,人工智能(AI)和机器学习(ML)技术的应用在网络入侵检测领域引起了广泛的关注.本文旨在探讨AI和ML在网络入侵检测中的应用,强调其潜在的优势和应对网络威胁的能力.研究认为,AI和ML将继续在网络入侵检测领域发挥关键作用,通过不断改进算法和技术,提高网络安全性,确保数字社会的可持续发展.继续深入研究和创新将有助于更好地应对不断演进的网络威胁,从而提高网络入侵检测系统的效率和可靠性.
Abstract
With the rapid development of the Internet,network intrusions and security breaches have become major challenges in today's digital age.In order to cope with the evolving cyber-attacks,traditional rule-based intrusion detection systems have become overwhelming.Therefore,the application of Artificial Intelligence(AI)and Machine Learning(ML)techniques has attracted much attention in the field of network intrusion detection.The aim of this paper is to explore the application of AI and ML in network intrusion detection,emphasizing their potential benefits and ability to deal with cyber threats.The study concludes that AI and ML will continue to play a key role in the field of network intrusion detection to improve network security and ensure the sustainable development of the digital society through continuous improvement of algorithms and techniques.Continued in-depth research and innovation will help to better cope with evolving cyber threats,thereby improving the efficiency and reliability of network intrusion detection systems.
关键词
网络入侵/人工智能/机器学习/检测系统/安全漏洞Key words
network intrusion/artificial intelligence/machine learning/detection system/security vulnerability引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据