PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing

Seema G. Aarella; Saraju P. Mohanty; Elias Kougianos; Deepak Puthal

doi:10.1109/iSES54909.2022.00094

PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing

Seema G. Aarella
, Saraju P. Mohanty
, Elias Kougianos
, Deepak Puthal

Electrical Engineering

University of North Texas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Fog computing gained importance when the re-quired infrastructure became more decentralized. The difference between Fog and Edge computing is that the former has nodes between the cloud and edge devices. In a way both fog and edge computing bring data processing closer to end-user devices. Edge Data Centers (EDCs) are employed to bring the processing power closer to the end-user to address latency in real-time applications, bandwidth, battery life constraints, as well as data privacy and safety. Edge Data centers are employed in collaborative edge computing environments across network edges, and they deliver uninterrupted processing through load balancing, where an overloaded Edge Data Center can off-load its task to the next available EDC. Authenticating EDCs is one of the challenges in collaborative edge computing environment where load balancing is applied. Physical Unclonable Functions (PUFs) are lightweight innovative primitives that are used for authentication and secure key storage. This work proposes a novel authentication scheme for EDCs using virtual Physical Unclonable Functions as a secure oPtion.

Original language	British English
Title of host publication	Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	433-438
Number of pages	6
ISBN (Electronic)	9798350399226
DOIs	https://doi.org/10.1109/iSES54909.2022.00094
State	Published - 2022
Event	8th IEEE International Symposium on Smart Electronic Systems, iSES 2022 - Warangal, India Duration: 19 Dec 2022 → 21 Dec 2022

Publication series

Name	Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022

Conference

Conference	8th IEEE International Symposium on Smart Electronic Systems, iSES 2022
Country/Territory	India
City	Warangal
Period	19/12/22 → 21/12/22

Keywords

Collabo-rative Edge Computing
Edge Computing
Edge Data Centers
Load Balancing
Physical Unclonable Functions
Secure Authentication
Virtual PUFs

Access to Document

10.1109/iSES54909.2022.00094

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Aarella, S. G., Mohanty, S. P., Kougianos, E., & Puthal, D. (2022). PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing. In Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022 (pp. 433-438). (Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iSES54909.2022.00094

Aarella, Seema G. ; Mohanty, Saraju P. ; Kougianos, Elias et al. / PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing. Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 433-438 (Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022).

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Aarella, SG, Mohanty, SP, Kougianos, E & Puthal, D 2022, PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing. in Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022. Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022, Institute of Electrical and Electronics Engineers Inc., pp. 433-438, 8th IEEE International Symposium on Smart Electronic Systems, iSES 2022, Warangal, India, 19/12/22. https://doi.org/10.1109/iSES54909.2022.00094

PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing. / Aarella, Seema G.; Mohanty, Saraju P.; Kougianos, Elias et al.
Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 433-438 (Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kougianos, Elias

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AB - Fog computing gained importance when the re-quired infrastructure became more decentralized. The difference between Fog and Edge computing is that the former has nodes between the cloud and edge devices. In a way both fog and edge computing bring data processing closer to end-user devices. Edge Data Centers (EDCs) are employed to bring the processing power closer to the end-user to address latency in real-time applications, bandwidth, battery life constraints, as well as data privacy and safety. Edge Data centers are employed in collaborative edge computing environments across network edges, and they deliver uninterrupted processing through load balancing, where an overloaded Edge Data Center can off-load its task to the next available EDC. Authenticating EDCs is one of the challenges in collaborative edge computing environment where load balancing is applied. Physical Unclonable Functions (PUFs) are lightweight innovative primitives that are used for authentication and secure key storage. This work proposes a novel authentication scheme for EDCs using virtual Physical Unclonable Functions as a secure oPtion.

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ER -

Aarella SG, Mohanty SP, Kougianos E, Puthal D. PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing. In Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 433-438. (Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022). doi: 10.1109/iSES54909.2022.00094

PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing

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Keywords

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