TY - GEN
T1 - IoT Security Development Framework for building trustworthy Smart car services
AU - Pacheco, Jesus
AU - Satam, Shalaka
AU - Hariri, Salim
AU - Grijalva, Clarisa
AU - Berkenbrock, Helena
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/15
Y1 - 2016/11/15
N2 - The Internet of Things (IoT) will connect not only computers and mobile devices, but it will also interconnect Smart cars, buildings, homes, and cities, as well as electrical grids, gas, and water networks, automobiles, airplanes, etc. However, with the introduction of IoT, we will be experiencing grand challenges to secure and protect its advanced information services due to the significant increase of the attack surface, complexity, heterogeneity and number of interconnected resources. In this paper, we present an IoT Security Development Framework (ISDF) to build trustworthy and highly secure applications and services. The ISDF enables developers to consider security issues at all IoT 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 highly secure and trustworthy Vehicle Information and management Portal (VIMP) services and how to apply our Anomaly Behavior Analysis (ABA) methodology to secure and protect these services against any type of attacks.
AB - The Internet of Things (IoT) will connect not only computers and mobile devices, but it will also interconnect Smart cars, buildings, homes, and cities, as well as electrical grids, gas, and water networks, automobiles, airplanes, etc. However, with the introduction of IoT, we will be experiencing grand challenges to secure and protect its advanced information services due to the significant increase of the attack surface, complexity, heterogeneity and number of interconnected resources. In this paper, we present an IoT Security Development Framework (ISDF) to build trustworthy and highly secure applications and services. The ISDF enables developers to consider security issues at all IoT 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 highly secure and trustworthy Vehicle Information and management Portal (VIMP) services and how to apply our Anomaly Behavior Analysis (ABA) methodology to secure and protect these services against any type of attacks.
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=85004081527&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85004081527&partnerID=8YFLogxK
U2 - 10.1109/ISI.2016.7745481
DO - 10.1109/ISI.2016.7745481
M3 - Conference contribution
AN - SCOPUS:85004081527
T3 - IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016
SP - 237
EP - 242
BT - IEEE International Conference on Intelligence and Security Informatics
A2 - Mao, Wenji
A2 - Wang, G. Alan
A2 - Zhou, Lina
A2 - Kaati, Lisa
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
Y2 - 28 September 2016 through 30 September 2016
ER -