Intrusion Detection using Deep Neural Network Algorithm on the Internet of Things-Reference-Cited by-同舟云学术

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Intrusion Detection using Deep Neural Network Algorithm on the Internet of Things

Published:2022-11-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
language:
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Author:

Ikhwan Syariful¹,Wibowo Adi²,Warsito Budi³

Affiliation:

1. School of Postgraduate Studies, Diponegoro University,Doctoral Program of Information System,Semarang,Indonesia

2. Diponegoro University,Computer Science Informatics Department of Science and Mathematics Faculty,Semarang,Indonesia

3. Diponegoro University,Statistics Department of Science and Mathematics Faculty,Semarang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994277/9994285/09994499.pdf?arnumber=9994499

Reference17 articles.

1. Unknown Attack Detection Based on Zero-Shot Learning

2. Intrusion Detection Systems: A Cross-Domain Overview

3. A novel method for feature learning and network intrusion classification

4. Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey

5. Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Inspired IoT-IDS Mechanism for Edge Computing Environments;Sensors;2023-12-16

2. RSM: A Real-time Security Monitoring Platform for IoT Networks;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24

3. Machine Learning Based Classification of IoT Traffic;Radioengineering;2023-06

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