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AI增强勒索病毒:工作机理与防御方法

李业深 董鹏 朱贺 郭孝天 尹晨旭 熊轲

物联网学报2026,Vol.10Issue(1):125-138,14.
物联网学报2026,Vol.10Issue(1):125-138,14.DOI:10.11959/j.issn.2096-3750.2026.00511

AI增强勒索病毒:工作机理与防御方法

AI-assisted ransomware:operating principles and defense methods

李业深 1董鹏 2朱贺 2郭孝天 1尹晨旭 1熊轲1

作者信息

  • 1. 北京交通大学高速铁路网络管理教育部工程研究中心,北京 100044||北京交通大学计算机科学与技术学院,北京 100044
  • 2. 中铁信(北京)网络技术研究院有限公司,北京 100044
  • 折叠

摘要

Abstract

With the rapid development of the digital economy,cybersecurity risks have become increasingly severe.Ac-cording to relevant reports,ransomware has emerged as one of the most destructive threats in cyberspace.Alarmingly,cy-bercriminals are continuously leveraging advanced artificial intelligence(AI)technologies to develop next-generation ran-somware,making these attacks more intelligent,covert,and damaging.Consequently,it is imperative to comprehensively examine the new impact of AI on cybersecurity,deeply reveal the operating principles of AI-assisted ransomware,and build effective defense strategies.At present,there is a lack of systematic and comprehensive literature analyzing the oper-ating principles and impacts of AI-assisted ransomware.To address this gap,firstly,ransomware was categorized.Subse-quently,the attack process of ransomware was analyzed.And then,combined with the latest research progress,the operat-ing principles of AI-assisted ransomware were elaborated in depth.Finally,response measures to operating principles ran-somware were systematically summarized from five key perspectives:prevention,prediction,detection,identification and mitigation.Additionally,the development trends and potential future research directions of AI-assisted ransomware were analyzed,aiming to provide valuable insights and guidance for practitioners in the field of cybersecurity.

关键词

勒索病毒/网络安全/人工智能/防御体系

Key words

ransomware/cybersecurity/artificial intelligence/defense system

分类

信息技术与安全科学

引用本文复制引用

李业深,董鹏,朱贺,郭孝天,尹晨旭,熊轲..AI增强勒索病毒:工作机理与防御方法[J].物联网学报,2026,10(1):125-138,14.

基金项目

国家自然科学基金资助项目(No.62071033) (No.62071033)

北京市自然科学基金昌平创新联合基金资助项目(No.L234084) (No.L234084)

中国国家铁路集团有限公司科研专项(No.L2023W001) The National Natural Science Foundation of China(No.62071033),The Changping Innovation Joint Fund of Beijing Natural Science Foundation(No.L234084),The Project of China Railway Corporation(No.L2023W001) (No.L2023W001)

物联网学报

2096-3750

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