TY - GEN
T1 - Security Framework for IoT Cloud Services
AU - Pacheco, Jesus
AU - Tunc, Cihan
AU - Hariri, Salim
N1 - Funding Information:
ACKNOWLEDGMENT This work is partly supported by the Air Force Office of Scientific Research (AFOSR) Dynamic Data-Driven Application Systems (DDDAS) award number FA9550-18-1-0427, National Science Foundation (NSF) research projects NSF-1624668 and SES-1314631, Thomson Reuters in the framework of the Partner University Fund (PUF) project (PUF is a program of the French Embassy in the United States and the FACE Foundation and is supported by American donors and the French government). and Universidad de Sonora, Engineering Division.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - The premise of the Internet of Things (IoT) is not only to connect computers and mobile devices, but also interconnect smart buildings, homes, and cities, as well as electrical and water grids, automobiles, and airplanes. IoT will lead to the development of a wide range of advanced information services that need to be processed in real-time and require data centers with large storage and computing power. The integration of IoT with Cloud Computing can bring not only the required computational power and storage capacity, but they enable IoT services to be pervasive, cost-effective, and can be accessed from anywhere using any device (mobile or stationary). However, IoT infrastructures and services will introduce grand security challenges due to the significant increase in the attack surface, complexity, heterogeneity and number of resources. In order to deal with such challenges, in this paper we introduce an IoT Framework to build trustworthy and secure IoT applications and services. The framework enables developers to consider security issues at all IoT levels and integrate security algorithms with the functions and services offered in each layer instead of considering security in an ad-hoc and afterthought manner. We show the applicability of our methodology to secure and protect IoT services at cloud level.
AB - The premise of the Internet of Things (IoT) is not only to connect computers and mobile devices, but also interconnect smart buildings, homes, and cities, as well as electrical and water grids, automobiles, and airplanes. IoT will lead to the development of a wide range of advanced information services that need to be processed in real-time and require data centers with large storage and computing power. The integration of IoT with Cloud Computing can bring not only the required computational power and storage capacity, but they enable IoT services to be pervasive, cost-effective, and can be accessed from anywhere using any device (mobile or stationary). However, IoT infrastructures and services will introduce grand security challenges due to the significant increase in the attack surface, complexity, heterogeneity and number of resources. In order to deal with such challenges, in this paper we introduce an IoT Framework to build trustworthy and secure IoT applications and services. The framework enables developers to consider security issues at all IoT levels and integrate security algorithms with the functions and services offered in each layer instead of considering security in an ad-hoc and afterthought manner. We show the applicability of our methodology to secure and protect IoT services at cloud level.
KW - Anomaly Behavior Analysis
KW - Cloud Computing
KW - Internet of Things
KW - Threat Detection
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U2 - 10.1109/AICCSA.2018.8612808
DO - 10.1109/AICCSA.2018.8612808
M3 - Conference contribution
AN - SCOPUS:85061917268
T3 - Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
BT - 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications, AICCSA 2018
PB - IEEE Computer Society
T2 - 15th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2018
Y2 - 28 October 2018 through 1 November 2018
ER -