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MAHIVE: Modular Analysis Hierarchical Intrusion Detection System Visualization Event Cybersecurity Engine for Cyber-Physical Systems and Internet of Things Devices

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Title:MAHIVE: Modular Analysis Hierarchical Intrusion Detection System Visualization Event Cybersecurity Engine for Cyber-Physical Systems and Internet of Things Devices
Authors:Steiner, Stuart
Oyewumi, Ibukun
Conte De Leon, Daniel
Keywords:Internet of Things Security: CyberAssurance for Edge, Software Defined, and Fog Computing Systems
cyber physical systems cybersecurity
distributed intrusion detection
semantic stream processing
Date Issued:05 Jan 2021
Abstract:Cyber-Physical Systems (CPS), including Industrial Control Systems (ICS) and Industrial Internet of Things (IIoT) networks, have become critical to our national infrastructure. The increased occurrence of cyber-attacks on these systems and the potential for catastrophic losses illustrates the critical need to ensure our CPS and ICS are properly monitored and secured with a multi-pronged approach of prevention, detection, deterrence, and recovery. Traditional Intrusion Detection Systems (IDS) and Intrusion Detection and Prevention Systems (IDPS) lack features that would make them well-suited for CPS and ICS environments. We report on the initial results for MAHIVE: Modular Analysis Hierarchical IDS Visualization Event cybersecurity engine. MAHIVE differs from traditional IDS in that it was specifically designed and developed for CPS, ICS, a IIoT systems and networks. We describe the MAHIVE architecture, the design, and the results of our evaluation using two ICS testbed penetration testing experiments.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/71475
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.854
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Internet of Things Security: CyberAssurance for Edge, Software Defined, and Fog Computing Systems


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