Generating realistic IoT‐based IDS dataset centred on fuzzy qualitative modelling for cyber‐physical systems-Reference-Cited by-同舟云学术

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Generating realistic IoT‐based IDS dataset centred on fuzzy qualitative modelling for cyber‐physical systems

Published:2020-04 Issue:9 Volume:56 Page:441-444
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Ahmed Khan Izhar¹^ORCID,Pi Dechang¹,Bhatia Ajeet Kumar²,Khan Nasrullah¹,Haider Waqas³,Wahab Abdul⁴

Affiliation:

1. College of Computer Science and Technology, Nanjing University of Aeronautics and AstronauticsNanjingPeople's Republic of China

2. College of Automation Engineering, Nanjing University of Aeronautics and AstronauticsNanjingPeople's Republic of China

3. Center for Cyber Security and Games, Canberra Institute of TechnologyAustralia

4. Computer ScienceRiphah UniversityIslamabadPakistan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2019.4158

Reference15 articles.

1. Defending ON–OFF Attacks Using Light Probing Messages in Smart Sensors for Industrial Communication Systems

2. A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks

3. Network intrusion detection for IoT security based on learning techniques;Chaabouni N.;IEEE Commun. Surv. Tutorials,2019

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1. Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks;Information Fusion;2024-01

2. Explainable Learning Machines for Securing the IoMT Networks;The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications;2022-09-23

3. Cyber risk and cybersecurity: a systematic review of data availability;The Geneva Papers on Risk and Insurance - Issues and Practice;2022-02-17

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