基于分布式流量数据的恶意软件检测方法  

Detection Method of Malicious Software Based on Distributed Traffic Data

作　　者：李昶 LI Chang(Liaoning Provincial Armed Police Force,Shenyang 110034,China)

机构地区：[1]武警辽宁省总队,沈阳110034

出　　处：《移动信息》2024年第5期158-160,共3页MOBILE INFORMATION

摘　　要：在网络安全领域,恶意软件已成为一种常见的威胁。为有效应对这种威胁,需采用有效的恶意软件检测技术。文中介绍了一种基于分布式流量数据的恶意软件检测方法。该方法利用分布式存储系统和流计算模型,通过对流量数据的分析和处理来快速检测恶意软件,为用户提供更加准确和及时的恶意软件检测服务,从而提高整个系统的安全性。In the field of cyber security,malicious software has become a common threat.In order to effectively deal with this threat,effective malicious software detection technology needs to be adopted.This paper introduces a malicious software detection method based on distributed traffic data.The method uses distributed storage systems and stream computing models to quickly detect malicious software through analysis and processing of traffic data,providing users with more accurate and timely malicious software detection services,thereby improving the security of the entire system.

关 键 词：分布式流量数据 恶意软件 检测 

分 类 号：TN915.08[电子电信—通信与信息系统]