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Preserving Smart Objects Privacy through Anonymous and Accountable Access Control for a M2M-Enabled Internet of Things.

Hernández-Ramos JL, Bernabe JB, Moreno MV, Skarmeta AF - Sensors (Basel) (2015)

Bottom Line: This work proposes different privacy-preserving mechanisms through the application of anonymous credential systems and certificateless public key cryptography.The resulting alternatives are intended to enable an anonymous and accountable access control approach to be deployed on large-scale scenarios, such as Smart Cities.Furthermore, the proposed mechanisms have been deployed on constrained devices, in order to assess their suitability for a secure and privacy-preserving M2M-enabled Internet of Things.

View Article: PubMed Central - PubMed

Affiliation: Department of Information and Communications Engineering, Computer Science Faculty, University of Murcia, Murcia 30100, Spain. jluis.hernandez@um.es.

ABSTRACT
As we get into the Internet of Things era, security and privacy concerns remain as the main obstacles in the development of innovative and valuable services to be exploited by society. Given the Machine-to-Machine (M2M) nature of these emerging scenarios, the application of current privacy-friendly technologies needs to be reconsidered and adapted to be deployed in such global ecosystem. This work proposes different privacy-preserving mechanisms through the application of anonymous credential systems and certificateless public key cryptography. The resulting alternatives are intended to enable an anonymous and accountable access control approach to be deployed on large-scale scenarios, such as Smart Cities. Furthermore, the proposed mechanisms have been deployed on constrained devices, in order to assess their suitability for a secure and privacy-preserving M2M-enabled Internet of Things.

No MeSH data available.


Architecture and framework interactions of the proposed approach.
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f2-sensors-15-15611: Architecture and framework interactions of the proposed approach.

Mentions: Under the common view of our IoT security framework, Figure 2 shows the instantiation of the core functional components into hardware components, as well as the required interactions involved in our proposal. Specifically, three main actors are considered: a target entity hosting services and resources, a subject entity trying to get access to them, and an issuer entity, which is responsible for managing and delivering security credential in order to enable a secure and privacy-preserving communication between subject and target.


Preserving Smart Objects Privacy through Anonymous and Accountable Access Control for a M2M-Enabled Internet of Things.

Hernández-Ramos JL, Bernabe JB, Moreno MV, Skarmeta AF - Sensors (Basel) (2015)

Architecture and framework interactions of the proposed approach.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541847&req=5

f2-sensors-15-15611: Architecture and framework interactions of the proposed approach.
Mentions: Under the common view of our IoT security framework, Figure 2 shows the instantiation of the core functional components into hardware components, as well as the required interactions involved in our proposal. Specifically, three main actors are considered: a target entity hosting services and resources, a subject entity trying to get access to them, and an issuer entity, which is responsible for managing and delivering security credential in order to enable a secure and privacy-preserving communication between subject and target.

Bottom Line: This work proposes different privacy-preserving mechanisms through the application of anonymous credential systems and certificateless public key cryptography.The resulting alternatives are intended to enable an anonymous and accountable access control approach to be deployed on large-scale scenarios, such as Smart Cities.Furthermore, the proposed mechanisms have been deployed on constrained devices, in order to assess their suitability for a secure and privacy-preserving M2M-enabled Internet of Things.

View Article: PubMed Central - PubMed

Affiliation: Department of Information and Communications Engineering, Computer Science Faculty, University of Murcia, Murcia 30100, Spain. jluis.hernandez@um.es.

ABSTRACT
As we get into the Internet of Things era, security and privacy concerns remain as the main obstacles in the development of innovative and valuable services to be exploited by society. Given the Machine-to-Machine (M2M) nature of these emerging scenarios, the application of current privacy-friendly technologies needs to be reconsidered and adapted to be deployed in such global ecosystem. This work proposes different privacy-preserving mechanisms through the application of anonymous credential systems and certificateless public key cryptography. The resulting alternatives are intended to enable an anonymous and accountable access control approach to be deployed on large-scale scenarios, such as Smart Cities. Furthermore, the proposed mechanisms have been deployed on constrained devices, in order to assess their suitability for a secure and privacy-preserving M2M-enabled Internet of Things.

No MeSH data available.