Big data security frameworks meet the intelligent transportation systems trust challenges

Feras Awaysheh, Jose Carlos Cabaleiro, Tomas Fernandez Pena, Mamoun Alazab

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

Abstract

Many technological cases exploiting data science have been realized in recent years; machine learning, Internet of Things, and stream data processing are examples of this trend. Other advanced applications have focused on capturing the value from streaming data of different objects of transport and traffic management in an Intelligent Transportation System (ITS). In this context, security control and trust level play a decisive role in the sustainable adoption of this trend. However, conceptual work integrating the security approaches of different disciplines into one coherent reference architecture is limited. The contribution of this paper is a reference architecture for ITS security (called SITS). In addition, a classification of Big Data technologies, products, and services to address the ITS trust challenges is presented. We also proposed a novel multi-tier ITS security framework for validating the usability of SITS with business intelligence development in the enterprise domain.

Original languageEnglish
Title of host publicationProceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages807-813
Number of pages7
ISBN (Electronic)9781728127767
DOIs
Publication statusPublished - 1 Aug 2019
Event18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019 - Rotorua, New Zealand
Duration: 5 Aug 20198 Aug 2019

Publication series

NameProceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019

Conference

Conference18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019
CountryNew Zealand
CityRotorua
Period5/08/198/08/19

Fingerprint Dive into the research topics of 'Big data security frameworks meet the intelligent transportation systems trust challenges'. Together they form a unique fingerprint.

  • Cite this

    Awaysheh, F., Cabaleiro, J. C., Pena, T. F., & Alazab, M. (2019). Big data security frameworks meet the intelligent transportation systems trust challenges. In Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019 (pp. 807-813). [8887359] (Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/TrustCom/BigDataSE.2019.00117