Network Intrusion Detection using Wide Tuned Convolutional Neural Network on IoT Network-Reference-Cited by-同舟云学术

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Network Intrusion Detection using Wide Tuned Convolutional Neural Network on IoT Network

Published:2023-11-14 Issue: Volume:2 Page:788-792
ISSN:
Container-title:2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA)
language:
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Author:

Hafiza Lia¹,Wahyuningrum Reni Dyah²,Maliah Rachmawati Syifa³,Salshabila Sherfina¹

Affiliation:

1. Telkom University,School of Electrical Engineering,Jakarta,Indonesia

2. Institut Teknologi Telkom Purwokerto,Telecommunication Engineering,Purwokerto,Indonesia

3. Convergence Engineering Kumoh National Institute of Technology,Department of IT,Gumi,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426792/10427558/10427676.pdf?arnumber=10427676

Reference16 articles.

1. Toward Secure Data Fusion in Industrial IoT Using Transfer Learning

2. CANintelliIDS: Detecting invehicle intrusion attacks on a controller area network using CNN and attention-based GRU;Rehman,2021

3. Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review

4. From Intrusion Detection to an Intrusion Response System: Fundamentals, Requirements, and Future Directions

5. A Lightweight Secure and Resilient Transmission Scheme for the Internet of Things in the Presence of a Hostile Jammer

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