Employing a Deep Learning Technique to Categorize Internet of Things (IoT) Traffic in a Smart City Context-Reference-Cited by-同舟云学术

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Employing a Deep Learning Technique to Categorize Internet of Things (IoT) Traffic in a Smart City Context

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

C Mahesh¹,Sumithra M.²,Rao Ranga Madhusudana³,Kumar Kallakunta Ravi⁴,Suganthi D⁵,Karthiyayini S.⁶

Affiliation:

1. Saveetha Institute of Medical and Technical Sciences,Department of Artificial Intelligence and Machine Learning,Chennai,Tamilnadu

2. Panimalar Engineering College,Department of Information Technology,Chennai

3. Velagapudi Ramakrishna Siddhartha,EEE Department,AP

4. Koneru Lakshmaiah Education Foundation,Department of ECE,Vaddeswaram,AP

5. Saveetha Institute of Medical And Technical Sciences,Saveetha College of Liberal Arts and Sciences,Department of Computer Science,Chennai,602105

6. Mohamed Sathak Engineering College,Information Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250670.pdf?arnumber=10250670

Reference19 articles.

1. IoT device identification using deep learning;kotak;Proc 13th Int Conf Comput Intell Secur Inf Syst (CISIS),2020

2. Passive operating system identification from TCP/IP packet headers;lippmann;Proc ICDM Workshop Data Mining Comput Secur (DMSEC),2003

3. An efficient approach for device identification and traffic classification in IoT ecosystems

4. A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment

5. A smart home is no castle: Privacy vulnerabilities of encrypted iot traffic;apthorpe,2017

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