TY - GEN
T1 - Big data security frameworks meet the intelligent transportation systems trust challenges
AU - Awaysheh, Feras
AU - Cabaleiro, Jose Carlos
AU - Pena, Tomas Fernandez
AU - Alazab, Mamoun
PY - 2019/8/1
Y1 - 2019/8/1
N2 - 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.
AB - 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.
KW - Big Data
KW - Intelligent Transportation System
KW - Internet of Things
KW - Reference Architecture
KW - Security Classification
UR - http://www.scopus.com/inward/record.url?scp=85075136663&partnerID=8YFLogxK
U2 - 10.1109/TrustCom/BigDataSE.2019.00117
DO - 10.1109/TrustCom/BigDataSE.2019.00117
M3 - Conference Paper published in Proceedings
VL - 1
T3 - 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
SP - 807
EP - 813
BT - 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
A2 - O'Conner, Lisa
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - Piscataway, NJ
T2 - 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
Y2 - 5 August 2019 through 8 August 2019
ER -
