AI在网络安全威胁检测与防御中的应用  

Application of AI in network security threat detection and defense

作　　者：杜在明 于东伟[1] 韩翠[1] DU Zaiming;YU Dongwei;HAN Cui(Anqiu Branch of Shandong Weifang Tobacco Co.,Ltd.,Weifang,Shandong 262100,China)

机构地区：[1]山东潍坊烟草有限公司安丘分公司,山东潍坊262100

出　　处：《计算机应用文摘》2025年第8期164-166,共3页

摘　　要：在面对层出不穷的网络攻击和日益复杂的安全威胁时,传统防御手段显得力不从心。这些攻击不仅数量庞大,而且技术不断演变,使得传统的防御措施难以有效应对。在此背景下,人工智能(Artificial Intelligence,AI)技术的崛起为网络安全领域带来了新的曙光。通过数据分析、模式识别和机器学习等方法,AI技术能够实时监测网络流量,自动识别潜在的安全威胁并迅速作出反应。AI驱动的安全解决方案能够更有效地处理海量数据,提高威胁检测的准确性和响应速度。此外,AI可以通过自我学习不断优化防御策略,适应新型攻击手法。Traditional defense methods are inadequate in the face of endless network attacks and increasingly complex security threats.These attacks are not only massive in number,but also constantly evolving in technology,making traditional defense measures difficult to effectively respond to.In this context,the rise of Artificial Intelligence(AI)technology has brought a new dawn to the field of network security.AI technology can monitor network traffic in real-time,automatically identify potential security threats,and respond quickly through methods such as data analysis,pattern recognition,and machine learning.AI driven security solutions can more effectively handle massive amounts of data,improving the accuracy and response speed of threat detection.In addition,AI can continuously optimize defense strategies and adapt to new attack techniques through selflearning.

关 键 词：网络安全 AI 安全威胁 威胁检测 自我学习 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]