TY - GEN
T1 - A new security middleware architecture based on fog computing and cloud to support IoT constrained devices
AU - Razouk, Wissam
AU - Sgandurra, Daniele
AU - Sakurai, Kouichi
N1 - Funding Information:
This work has been supported by the Strategic International Research Cooperative Program - Japan Science and Technology Agency (JST). The authors would also like to thank Prof. Anupam Joshi for his valuable comments.
Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/10/17
Y1 - 2017/10/17
N2 - The increase of sensitive data in the current Internet of Things (IoT) raises demands of computation, communication and storage capabilities. Indeed, thanks to RFID tags and wireless sensor networks, anything can be part of IoT. As a result, a large amount of data is generated, which is hard for many IoT devices to handle, as many IoT devices are resource-constrained and cannot use the existing standard security protocols. Cloud computing might seem like a convenient solution, since it offers on-demand access to a shared pool of resources such as processors, storage, applications and services. However this comes as a cost, as unnecessary communications not only burden the core network, but also the data center in the cloud. Therefore, considering suitable approaches such as fog computing and security middleware solutions is crucial. In this paper, we propose a novel middleware architecture to solve the above issues, and discuss the generic concept of using fog computing along with cloud in order to achieve a higher security level. Our security middleware acts as a smart gateway as it is meant to pre-process data at the edge of the network. Depending on the received information, data might either be processed and stored locally on fog or sent to the cloud for further processing. Moreover, in our scheme, IoT constrained devices communicate through the proposed middleware, which provide access to more computing power and enhanced capability to perform secure communications. We discuss these concepts in detail, and explain how our proposal is effective to cope with some of the most relevant IoT security challenges.
AB - The increase of sensitive data in the current Internet of Things (IoT) raises demands of computation, communication and storage capabilities. Indeed, thanks to RFID tags and wireless sensor networks, anything can be part of IoT. As a result, a large amount of data is generated, which is hard for many IoT devices to handle, as many IoT devices are resource-constrained and cannot use the existing standard security protocols. Cloud computing might seem like a convenient solution, since it offers on-demand access to a shared pool of resources such as processors, storage, applications and services. However this comes as a cost, as unnecessary communications not only burden the core network, but also the data center in the cloud. Therefore, considering suitable approaches such as fog computing and security middleware solutions is crucial. In this paper, we propose a novel middleware architecture to solve the above issues, and discuss the generic concept of using fog computing along with cloud in order to achieve a higher security level. Our security middleware acts as a smart gateway as it is meant to pre-process data at the edge of the network. Depending on the received information, data might either be processed and stored locally on fog or sent to the cloud for further processing. Moreover, in our scheme, IoT constrained devices communicate through the proposed middleware, which provide access to more computing power and enhanced capability to perform secure communications. We discuss these concepts in detail, and explain how our proposal is effective to cope with some of the most relevant IoT security challenges.
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U2 - 10.1145/3109761.3158413
DO - 10.1145/3109761.3158413
M3 - Conference contribution
AN - SCOPUS:85048369120
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the International Conference on Internet of Things and Machine Learning, IML 2017
A2 - Hamdan, Hani
A2 - Hidoussi, Faouzi
A2 - Boubiche, Djallel Eddine
PB - Association for Computing Machinery
T2 - 1st International Conference on Internet of Things and Machine Learning, IML 2017
Y2 - 17 October 2017 through 18 October 2017
ER -