TY - GEN
T1 - Autoinfotainment Security Development Framework (ASDF) for Smart Cars
AU - Pratik, Satam
AU - Jesus, Pacheco
AU - Hariri, Salim
AU - Horani, Mohommad
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/9
Y1 - 2017/10/9
N2 - The Autoinfotainment system will not only provide information systems and entertainment to car components, but it will also connect to the Internet and a wide range of multimedia and mobile devices. However, with the introduction of many smart devices and a variety of wireless communications through Wi-Fi, Bluetooth, DSRC, and cellular, we are experiencing major challenges to secure and protect vehicular advanced information and entertainment services due to the significant increase of the attack surface, complexity, heterogeneity and number of interconnected resources. In this paper, we present an Auto Security Development Framework (ASDF) to build trustworthy and highly secure auto information and entertainment services. The ASDF enables developers to consider security issues at all the auto car communications layers and integrate security algorithms with the functions and services offered in each layer rather than considering security in an ad-hoc and after thought manner. We also show how this framework can be used to develop anomaly behavior analysis algorithm to detect wireless attacks against the QUALCOMM DragonBoard Autoinfotainment system.
AB - The Autoinfotainment system will not only provide information systems and entertainment to car components, but it will also connect to the Internet and a wide range of multimedia and mobile devices. However, with the introduction of many smart devices and a variety of wireless communications through Wi-Fi, Bluetooth, DSRC, and cellular, we are experiencing major challenges to secure and protect vehicular advanced information and entertainment services due to the significant increase of the attack surface, complexity, heterogeneity and number of interconnected resources. In this paper, we present an Auto Security Development Framework (ASDF) to build trustworthy and highly secure auto information and entertainment services. The ASDF enables developers to consider security issues at all the auto car communications layers and integrate security algorithms with the functions and services offered in each layer rather than considering security in an ad-hoc and after thought manner. We also show how this framework can be used to develop anomaly behavior analysis algorithm to detect wireless attacks against the QUALCOMM DragonBoard Autoinfotainment system.
KW - autonomous vehicle
KW - control area network
KW - cyber security
KW - internet of things
KW - smart car
KW - threat model
UR - http://www.scopus.com/inward/record.url?scp=85035322690&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035322690&partnerID=8YFLogxK
U2 - 10.1109/ICCAC.2017.22
DO - 10.1109/ICCAC.2017.22
M3 - Conference contribution
AN - SCOPUS:85035322690
T3 - Proceedings - 2017 IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017
SP - 153
EP - 159
BT - Proceedings - 2017 IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017
Y2 - 18 September 2017 through 22 September 2017
ER -