A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges-Reference-Cited by-同舟云学术

A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges

Published:2020-10-20 Issue:4 Volume:28 Page:3211-3243
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Thakkar Ankit,Lohiya Ritika^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11831-020-09496-0.pdf

Reference194 articles.

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3. Borgia E (2014) The Internet of Things vision: key features, applications and open issues. Comput Commun 54:1

4. Notra S, Siddiqi M, Gharakheili HH, Sivaraman V, Boreli R (2014) An experimental study of security and privacy risks with emerging household appliances. In: 2014 IEEE conference on communications and network security, IEEE, 2014, pp 79–84

5. Sicari S, Rizzardi A, Grieco LA, Coen-Porisini A (2015) Security, privacy and trust in Internet of Things: the road ahead. Comput Netw 76:146

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