Unsupervised ensemble based deep learning approach for attack detection in IoT network-Reference-Cited by-同舟云学术

Unsupervised ensemble based deep learning approach for attack detection in IoT network

Published:2022-09-24 Issue:27 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Shahnawaz Ahmad Mir¹^ORCID,Mehraj Shah Shahid¹

Affiliation:

1. Communication Control & Learning Lab, Department of Electronics & Communication Engineering National Institute of Technology Srinagar Srinagar Jammu and Kashmir India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7338

Reference47 articles.

1. Internet of Things (IoT) Operating Systems Support, Networking Technologies, Applications, and Challenges: A Comparative Review

2. Distributed Detection in Wireless Sensor Networks Under Multiplicative Fading via Generalized Score Tests

3. IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices

4. Current research on Internet of Things (IoT) security: A survey

5. IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

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