Securing IoT Based Maritime Transportation System Through Entropy-Based Dual-Stack Machine Learning Framework-Reference-Cited by-同舟云学术

Securing IoT Based Maritime Transportation System Through Entropy-Based Dual-Stack Machine Learning Framework

Published:2022 Issue: Volume: Page:1-10
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ali Farhan¹,Sarwar Sohail²^ORCID,Shafi Qaisar M.³,Iqbal Muddesar⁴^ORCID,Safyan Muhammad⁵^ORCID,Qayyum Zia Ul⁶

Affiliation:

1. CASE, University of Engineering and Technology (UET), Taxila, Pakistan

2. Communications and Networks Engineering Department, College of Engineering, Renewable Energy Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

3. Department of Computing, National University of Computer and Emerging Sciences, Foundation for Advancement of Science and Technology (NUCES-FAST), Islamabad, Pakistan

4. School of Engineering, Division of Computer Science and Informatics, London South Bank University, London, U.K.

5. Department of Computer Science, Government College University Lahore, Lahore, Pakistan

6. Department of Computer Science, Allama Iqbal Open University, Islamabad, Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09800775.pdf?arnumber=9800775

Reference28 articles.

1. A structured analysis of information security incidents in the maritime sector;schwarz;arXiv 2112 06545,2021

2. Mining anomalies using traffic feature distributions

3. Performance optimization of IoT based biological systems using deep learning

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