Autoencoders Based Optimized Deep Learning Model for the Detection of Cyber Attack in IoT Environment-Reference-Cited by-同舟云学术

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Autoencoders Based Optimized Deep Learning Model for the Detection of Cyber Attack in IoT Environment

Published:2024-01-06 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Consumer Electronics (ICCE)
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Author:

Gupta Brij B.¹,Gaurav Akshat²,Chui Kwok Tai³,Arya Varsha⁴,Choi Chang⁵

Affiliation:

1. Asia University,Department of Computer Science and Information Engineering,Taichung,Taiwan,413

2. Ronin Institute,Montclair,NJ,USA

3. Hong Kong Metropolitan University (HKMU),Hong Kong

4. Asia University,Taichung,Taiwan

5. Gachon University,Department of Computer Engineering,Republic of Korea

Funder

National Science and Technology Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10444098/10444131/10444394.pdf?arnumber=10444394

Reference31 articles.

1. Internet of Things: Visions, Technologies, and Areas of Application

2. A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system

3. Ensemble machine learning approach for classification of IoT devices in smart home

4. Energy Efficient UAV-based Relay System for IoT Networks in Hazardous Industrial Areas

5. Defending against Distributed Denial of Service Attacks: Issues and Challenges

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