A Machine Learning based Threat Intelligence Framework for Industrial Control System Network Traffic Indicators of Compromise-Reference-Cited by-同舟云学术

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A Machine Learning based Threat Intelligence Framework for Industrial Control System Network Traffic Indicators of Compromise

Published:2021-03-10 Issue: Volume: Page:
ISSN:
Container-title:SoutheastCon 2021
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Author:

Atluri Venkata,Horne Jeff

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9401802/9401808/09401809.pdf?arnumber=9401809

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Scrutinizing Security in Industrial Control Systems: An Architectural Vulnerabilities and Communication Network Perspective;IEEE Access;2024

2. DETECTION OF ADVANCED PERSISTENT THREATS USING SIEM RULESETS;International Journal of 3D Printing Technologies and Digital Industry;2023-12-31

3. Cyber vulnerabilities surveillance via web-scraped specialized documents;2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2023-09-11

4. An autoML network traffic analyzer for cyber threat detection;International Journal of Information Security;2023-05-21

5. Understanding Indicators of Compromise against Cyber-attacks in Industrial Control Systems: A Security Perspective;ACM Transactions on Cyber-Physical Systems;2023-04-19

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