Device-Based Security to Improve User Privacy in the Internet of Things
The use of Internet of Things (IoT) is rapidly growing and a huge amount of data is being generated by IoT devices. Cloud computing is a natural candidate to handle this data since it has enough power and capacity to process, store and control data access. Moreover, this approach brings several bene...
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Published in | Sensors (Basel, Switzerland) Vol. 18; no. 8; p. 2664 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
14.08.2018
MDPI |
Subjects | |
Online Access | Get full text |
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Summary: | The use of Internet of Things (IoT) is rapidly growing and a huge amount of data is being generated by IoT devices. Cloud computing is a natural candidate to handle this data since it has enough power and capacity to process, store and control data access. Moreover, this approach brings several benefits to the IoT, such as the aggregation of all IoT data in a common place and the use of cloud services to consume this data and provide useful applications. However, enforcing user privacy when sending sensitive information to the cloud is a challenge. This work presents and evaluates an architecture to provide privacy in the integration of IoT and cloud computing. The proposed architecture, called
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rivacy a
quitecture for integrati
n of internet of
hings and
loud computing, improves user privacy by implementing privacy enforcement at the IoT devices instead of at the gateway, as is usually done. Consequently, the proposed approach improves both system security and fault tolerance, since it removes the single point of failure (gateway). The proposed architecture is evaluated through an analytical analysis and simulations with severely constrained devices, where delay and energy consumption are evaluated and compared to other architectures. The obtained results show the practical feasibility of the proposed solutions and demonstrate that the overheads introduced in the IoT devices are worthwhile considering the increased level of privacy and security. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This paper is an extended version of our paper published in Pacheco, L.; Alchieri, E.; Solis, P. Architecture for Privacy in Cloud of Things. In Proceedings of the 19th International Conference on Enterprise Information Systems, Porto, Portugal, 2017, doi:10.5220/0006357504870494 and Pacheco, L.A.B.; Alchieri, E.; Barreto, P.A.S. Enhancing and evaluating an architecture for privacy in the integration of Internet of Things and cloud computing. In Proceedings of the IEEE 16th International SymposiumonNetwork Computing and Applications (NCA), Cambridge, MA, USA, 30 October–1 November 2017; pp. 1–8. |
ISSN: | 1424-8220 1424-8220 |
DOI: | 10.3390/s18082664 |