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Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems

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Encyclopedia of Big Data Technologies

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Intelligent Transportation System is regarded as a smart application encompassing the promising features of sensing, analysis, control, and communication technologies in order to improve the safety, reliability, mobility, and efficiency of ground transportation.

Big Data is an evolving and emerging terminology describing a voluminous amount (terabytes, petabytes, exabytes, or even zettabyte) of structured, unstructured, and semi-structured data which could be mined for information.

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The evolution of Big Data in large-scale Internet-of-Vehicles has brought forward unprecedented opportunities for a unified management of the transportation sector, and for devising smart Intelligent Transportation Systems. Nevertheless, such form of frequent heterogeneous data collection between the vehicles and numerous applications platforms via diverse radio access technologies has led to a number of security and privacy attacks, and accordingly demands for a ‘secure data collection’...

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Correspondence to Adnan Mahmood .

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© 2018 Springer International Publishing AG

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Mahmood, A., Zen, H., Hilles, S.M.S. (2018). Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_234-1

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_234-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

  • eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering

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