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The Journal of Supercomputing

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04-01-2021

SS-ITS: secure scalable intelligent transportation systems

Authors: Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Jerry Chun-Wei Lin

Published in: The Journal of Supercomputing | Issue 7/2021

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Abstract

This paper introduces a secure and scalable intelligent transportation and human behavior system to accurately discover knowledge from urban traffic data. The data are secured using blockchain learning technology, where the scalability is ensured by a threaded GPU. In addition, different optimizations are provided to efficiently process data on the GPU. A reinforcement deep learning algorithm is also established to merge local knowledge discovered on each site into global knowledge. To demonstrate the applicability of the proposed framework, intensive experiments have been carried out on well-known intelligent transportation and human behavior data. Our results show that our proposed framework outperforms the baseline solutions for the outlier detection use case.

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Title: SS-ITS: secure scalable intelligent transportation systems
Authors: Asma Belhadi
Youcef Djenouri
Gautam Srivastava
Jerry Chun-Wei Lin
Publication date: 04-01-2021
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 7/2021
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-020-03582-7

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