Machine learning-based early detection of IoT botnets using network-edge traffic-Reference-Cited by-同舟云学术

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Machine learning-based early detection of IoT botnets using network-edge traffic

Published:2022-06 Issue: Volume:117 Page:102693
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Kumar Ayush^ORCID,Shridhar Mrinalini,Swaminathan Sahithya,Lim Teng Joon^ORCID

Funder

Singapore Telecommunications Limited

National University of Singapore

National Research Foundation Singapore

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference60 articles.

1. Internet of things: a survey on enabling technologies, protocols, and applications;Al-Fuqaha;IEEE Commun. Surv. Tutor.,2015

2. Safe and automated live malware experimentation on public testbeds;Alwabel,2014

3. A supervised intrusion detection system for smart home IoT devices;Anthi;IEEE Internet Things J.,2019

4. Understanding the mirai botnet;Antonakakis,2017

5. Arghire, I., 2017. IoT botnet used in website hacking attacks. https://www.securityweek.com/iot-botnet-used-website-hacking-attacks.

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1. Development of novel intrusion detection in Internet of Things using improved dart game optimizer‐derived optimal cascaded ensemble learning;Transactions on Emerging Telecommunications Technologies;2024-07

2. A Knowledge Distillation-Driven Lightweight CNN Model for Detecting Malicious Encrypted Network Traffic;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. A Systematic Survey of Machine Learning and Deep Learning Models Used in Industrial Internet of Things Security;MANAS Journal of Engineering;2024-06-21

4. Machine Learning Approaches for Botnet Detection in Network Traffic;Proceedings of the Cognitive Models and Artificial Intelligence Conference;2024-05-25

5. Modular neural network for Edge-based Detection of early-stage IoT Botnet;High-Confidence Computing;2024-04

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