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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.


Idemix-based Anonymous DCapBAC interactions.
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f5-sensors-15-15611: Idemix-based Anonymous DCapBAC interactions.

Mentions: This approach allows the subject device to use its Idemix credential to obtain an Anonymous DCapBAC token from the Capability Manager in a privacy-preserving-way. Furthermore, Idemix is also used to enable the subject to use the Idemix proof protocol, in order to demonstrate that it is the entity linked to the pseudonym included in the capability token. Figure 5 shows the main stages that have been identified for this alternative.


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)

Idemix-based Anonymous DCapBAC interactions.
© Copyright Policy
Related In: Results  -  Collection

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

f5-sensors-15-15611: Idemix-based Anonymous DCapBAC interactions.
Mentions: This approach allows the subject device to use its Idemix credential to obtain an Anonymous DCapBAC token from the Capability Manager in a privacy-preserving-way. Furthermore, Idemix is also used to enable the subject to use the Idemix proof protocol, in order to demonstrate that it is the entity linked to the pseudonym included in the capability token. Figure 5 shows the main stages that have been identified for this alternative.

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.