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AoT: Authentication and Access Control for the Entire IoT Device Life-Cycle

Authors:

Antonio L. Maia Neto,

Artur L. F. Souza,

Michele Nogueira,

Ivan Oliveira Nunes,

Leonardo Cotta,

Nicolas Gentille,

Antonio A. F. Loureiro,

Diego F. Aranha,

Harsh Kupwade Patil,

Leonardo B. OliveiraAuthors Info & Claims

SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM

Pages 1 - 15

https://doi.org/10.1145/2994551.2994555

Published: 14 November 2016 Publication History

Abstract

The consumer electronics industry is witnessing a surge in Internet of Things (IoT) devices, ranging from mundane artifacts to complex biosensors connected across disparate networks. As the demand for IoT devices grows, the need for stronger authentication and access control mechanisms is greater than ever. Legacy authentication and access control mechanisms do not meet the growing needs of IoT. In particular, there is a dire need for a holistic authentication mechanism throughout the IoT device life-cycle, namely from the manufacturing to the retirement of the device. As a plausible solution, we present Authentication of Things (AoT), a suite of protocols that incorporate authentication and access control during the entire IoT device life span. Primarily, AoT relies on Identity- and Attribute-Based Cryptography to cryptographically enforce Attribute-Based Access Control (ABAC). Additionally, AoT facilitates secure (in terms of stronger authentication) wireless interoperability of new and guest devices in a seamless manner. To validate our solution, we have developed AoT for Android smartphones like the LG G4 and evaluated all the cryptographic primitives over more constrained devices like the Intel Edison and the Arduino Due. This included the implementation of an Attribute-Based Signature (ABS) scheme. Our results indicate AoT ranges from highly efficient on resource-rich devices to affordable on resource-constrained IoT-like devices. Typically, an ABS generation takes around 27 ms on the LG G4, 282 ms on the Intel Edison, and 1.5 s on the Arduino Due.

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Cited By

De Vaere PStöger FPerrig ATsudik GQuek TGao DZhou JCardenas A(2024)The SA4P Framework: Sensing and Actuation as a PrivilegeProceedings of the 19th ACM Asia Conference on Computer and Communications Security10.1145/3634737.3657006(873-885)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3634737.3657006
Jois TPavlovich TMcCarron BKotz DPierson TStephenson BStone JBattestilli LRebelsky SShoop L(2024)Smart Use of Smart Devices in Your Home: A Smart Home Security and Privacy Workshop for the General PublicProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630925(611-617)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630925
Liu CChen BShao WZhang CWong KZhang Y(2024)Unraveling Attacks to Machine-Learning-Based IoT Systems: A Survey and the Open Libraries Behind ThemIEEE Internet of Things Journal10.1109/JIOT.2024.337773011:11(19232-19255)Online publication date: 1-Jun-2024
https://doi.org/10.1109/JIOT.2024.3377730
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cover image ACM Conferences

SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM

November 2016

398 pages

ISBN:9781450342636

DOI:10.1145/2994551

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 14 November 2016

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LG Electronics, CNPq, CAPES, and FAPEMIG

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SenSys '16

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SenSys '16: The 14th ACM Conference on Embedded Network Sensor Systems

November 14 - 16, 2016

CA, Stanford, USA

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Overall Acceptance Rate 198 of 990 submissions, 20%

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Cited By

De Vaere PStöger FPerrig ATsudik GQuek TGao DZhou JCardenas A(2024)The SA4P Framework: Sensing and Actuation as a PrivilegeProceedings of the 19th ACM Asia Conference on Computer and Communications Security10.1145/3634737.3657006(873-885)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3634737.3657006
Jois TPavlovich TMcCarron BKotz DPierson TStephenson BStone JBattestilli LRebelsky SShoop L(2024)Smart Use of Smart Devices in Your Home: A Smart Home Security and Privacy Workshop for the General PublicProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630925(611-617)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630925
Liu CChen BShao WZhang CWong KZhang Y(2024)Unraveling Attacks to Machine-Learning-Based IoT Systems: A Survey and the Open Libraries Behind ThemIEEE Internet of Things Journal10.1109/JIOT.2024.337773011:11(19232-19255)Online publication date: 1-Jun-2024
https://doi.org/10.1109/JIOT.2024.3377730
Quincozes VMansilha RKreutz DMiers CImmich R(2024)Auth4App: Streamlining authentication for integrated cyber–physical environmentsJournal of Information Security and Applications10.1016/j.jisa.2024.10380283(103802)Online publication date: Jun-2024
https://doi.org/10.1016/j.jisa.2024.103802
Jakkamsetti SKim YTsudik GMeng WJensen CCremers CKirda E(2023)Caveat (IoT) Emptor: Towards Transparency of IoT Device PresenceProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security10.1145/3576915.3623089(1347-1361)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3576915.3623089

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