Evaluation of quality of service parameters for MQTT communication in IoT application by using deep neural network-Reference-Cited by-同舟云学术

Evaluation of quality of service parameters for MQTT communication in IoT application by using deep neural network

Published:2023-12-26 Issue: Volume: Page:
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Pawar Shital^ORCID,Jadhav D. B.,Lokhande Meghana,Raskar Punam,Patil Megha

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01664-2.pdf

Reference33 articles.

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2. Hwang K, Jung IH, Lee JM (2022) Monitoring of MQTT-based messaging server. Webology 19(1):4724–4735. https://doi.org/10.14704/WEB/V19I1/WEB19316

3. Hariprasad S, Deepa T, Chandhar P (2022) SENMQTT-SET: an intelligent intrusion detection in IoT-MQTT networks using ensemble multi cascade features. IEEE Access 10:33095–33110. https://doi.org/10.1109/ACCESS.2022.3161566

4. Moreton HA, Mata JA, Garcia JO, Castaneda ALM, Garcia I, Benavides C (2019) Multiclass classification procedure for detecting attacks on MQTT-IOT protocol. Complexity. https://doi.org/10.1155/2019/6516253

5. Hasan M et al (2019) Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches. Internet Things. https://doi.org/10.1016/j.iot.2019.100059

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