An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things-Reference-Cited by-同舟云学术

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An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things

Published:2022-11 Issue:11 Volume:18 Page:8298-8306
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Nguyen Tu N.¹^ORCID,Ngo Quoc-Dung²^ORCID,Nguyen Huy-Trung³^ORCID,Nguyen Giang Long⁴^ORCID

Affiliation:

1. Department of Computer Science, Kennesaw State University, Marietta, GA, USA

2. Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

3. People’s Security Academy, Hanoi, Vietnam

4. Vietnam Academy of Science and Technology, Hanoi, Vietnam

Funder

Kennesaw State University

Tập đoàn Vingroup - Công ty CP

Vingroup Innovation Foundation

Vingroup Big Data Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9895125/09718191.pdf?arnumber=9718191

Reference28 articles.

1. A hybrid approach of mobile malware detection in Android

2. Botnets: A survey

3. IoTPOT: A Novel Honeypot for Revealing Current IoT Threats

4. Evolution, Detection and Analysis of Malware for Smart Devices

5. An opcode‐based technique for polymorphic Internet of Things malware detection

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1. Digital Twin and federated learning enabled cyberthreat detection system for IoT networks;Future Generation Computer Systems;2024-12

2. The revolution and vision of explainable AI for Android malware detection and protection;Internet of Things;2024-10

3. Detecting the cyber-physical-social cooperated APTs in high-DER-penetrated smart grids: Threats, current work and challenges;Computer Networks;2024-09

4. Enhanced botnet detection in IoT networks using zebra optimization and dual-channel GAN classification;Scientific Reports;2024-07-26

5. AI-Driven Fast and Early Detection of IoT Botnet Threats: A Comprehensive Network Traffic Analysis Approach;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

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