Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions-Reference-Cited by-同舟云学术

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Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions

Published:2023 Issue:3 Volume:25 Page:1775-1807
ISSN:1553-877X
Container-title:IEEE Communications Surveys & Tutorials
language:
Short-container-title:IEEE Commun. Surv. Tutorials

Author:

Moustafa Nour¹^ORCID,Koroniotis Nickolaos¹^ORCID,Keshk Marwa¹,Zomaya Albert Y.²^ORCID,Tari Zahir³^ORCID

Affiliation:

1. University of New South Wales at Canberra, Canberra, ACT, Australia

2. Centre for Distributed and High Performance Computing, School of Information Technologies, The University of Sydney, Sydney, NSW, Australia

3. Centre of Cyber Security Research and Innovation, School of Computing Technologies, RMIT University, Melbourne, VIC, Australia

Funder

Australian Research Council’s Discovery Early Career Researcher Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9739/10226436/10136827.pdf?arnumber=10136827

Reference215 articles.

1. Unsupervised multi-stage attack detection framework without details on single-stage attacks

2. A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems

3. Evaluation of HMM-Based Network Intrusion Detection System for Multiple Multi-Stage Attacks

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