Abstract

The U.S. Next Generation Air Transportation System (NextGen) is designed to increase the capacity, safety and efficiency of the air traffic control via the integration of past experiences and advances in technology. However, the system is expected to greatly increase the amount and types of data generated as well as the knowledge to be managed. Additionally, as with all new technology, U.S. NextGen opens the specter of the potential impacts created by cyberattacks. Given this, it appears logical to view the U.S. NextGen system from the lens of Big Data. This study evaluates the U.S. NextGen system using the five differentiated qualitative characteristics of big data: Volume, Velocity, Variety, Veracity and Value. The results indicate that U.S. NextGen system has several big data challenges that must be addressed in order to obtain its maximal potential. Refereed/Peer-reviewed


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-319-78816-6_19 under the license http://www.springer.com/tdm
https://dblp.uni-trier.de/db/conf/securecomm/securecomm2017w.html#MinkGBC17,
https://doi.org/10.1007/978-3-319-78816-6_19,
http://doi.org/10.1007/978-3-319-78816-6_19,
https://rd.springer.com/chapter/10.1007/978-3-319-78816-6_19,
https://academic.microsoft.com/#/detail/2799300576
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Document information

Published on 01/01/2018

Volume 2018, 2018
DOI: 10.1007/978-3-319-78816-6_19
Licence: Other

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