University of Hertfordshire

By the same authors

A Location-Aware Authentication Model to Handle Uncertainty in IoT

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

A Location-Aware Authentication Model to Handle Uncertainty in IoT. / Heydari, Mohammad; Mylonas, Alexios; Katos, Vasilios; Balaguer-Ballester, Emili; Tafreshi, Vahid Heydari Fami; Benkhelifa, Elhadj.

2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019. ed. / Mohammad Alsmirat; Yaser Jararweh. Institute of Electrical and Electronics Engineers Inc., 2019. p. 43-50 8939230 (2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Heydari, M, Mylonas, A, Katos, V, Balaguer-Ballester, E, Tafreshi, VHF & Benkhelifa, E 2019, A Location-Aware Authentication Model to Handle Uncertainty in IoT. in M Alsmirat & Y Jararweh (eds), 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019., 8939230, 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 43-50, 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019, Granada, Spain, 22/10/19. https://doi.org/10.1109/IOTSMS48152.2019.8939230

APA

Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Tafreshi, V. H. F., & Benkhelifa, E. (2019). A Location-Aware Authentication Model to Handle Uncertainty in IoT. In M. Alsmirat, & Y. Jararweh (Eds.), 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019 (pp. 43-50). [8939230] (2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IOTSMS48152.2019.8939230

Vancouver

Heydari M, Mylonas A, Katos V, Balaguer-Ballester E, Tafreshi VHF, Benkhelifa E. A Location-Aware Authentication Model to Handle Uncertainty in IoT. In Alsmirat M, Jararweh Y, editors, 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 43-50. 8939230. (2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019). https://doi.org/10.1109/IOTSMS48152.2019.8939230

Author

Heydari, Mohammad ; Mylonas, Alexios ; Katos, Vasilios ; Balaguer-Ballester, Emili ; Tafreshi, Vahid Heydari Fami ; Benkhelifa, Elhadj. / A Location-Aware Authentication Model to Handle Uncertainty in IoT. 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019. editor / Mohammad Alsmirat ; Yaser Jararweh. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 43-50 (2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019).

Bibtex

@inproceedings{1886d371c3494da58fcd4f99559e51d5,
title = "A Location-Aware Authentication Model to Handle Uncertainty in IoT",
abstract = "The process of authentication for location-aware services is more challenging over the Internet of Things (IoT) than before due to a number of inherent IoT characteristics like dynamism and heterogeneity. Authentication in such an environment is no longer dependent only upon credentials but rather needs more spatio-temporal parameters (i.e. Time, Location) to be considered. Moreover, big data produced by IoT enabling technologies like wireless sensors, RFID tags and mobile phones introduce new challenges in terms of real-time authentication. This work defines one of the neglected challenges in IoT called uncertainty in authentication. Considering this challenge is important because IoT has a number of characteristics that amplify uncertainty in authentication. Moreover, using existing access control models does not result in flexible and resilient solution to handle uncertainty. Therefore, this work introduces an uncertainty-aware authentication model based on Attribute-Based Access Control (ABAC), which uses spatio-temporal parameters as attributes. Our model can achieve authentication performance with 86.92% accuracy with lower overhead using Neural Networks.",
keywords = "Authentication, Internet of Things, Prediction Model, Spatio-temporal Access Control, Supervised Learning, Uncertainty",
author = "Mohammad Heydari and Alexios Mylonas and Vasilios Katos and Emili Balaguer-Ballester and Tafreshi, {Vahid Heydari Fami} and Elhadj Benkhelifa",
year = "2019",
month = dec,
day = "23",
doi = "10.1109/IOTSMS48152.2019.8939230",
language = "English",
series = "2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "43--50",
editor = "Mohammad Alsmirat and Yaser Jararweh",
booktitle = "2019 6th International Conference on Internet of Things",
address = "United States",
note = "6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019 ; Conference date: 22-10-2019 Through 25-10-2019",

}

RIS

TY - GEN

T1 - A Location-Aware Authentication Model to Handle Uncertainty in IoT

AU - Heydari, Mohammad

AU - Mylonas, Alexios

AU - Katos, Vasilios

AU - Balaguer-Ballester, Emili

AU - Tafreshi, Vahid Heydari Fami

AU - Benkhelifa, Elhadj

PY - 2019/12/23

Y1 - 2019/12/23

N2 - The process of authentication for location-aware services is more challenging over the Internet of Things (IoT) than before due to a number of inherent IoT characteristics like dynamism and heterogeneity. Authentication in such an environment is no longer dependent only upon credentials but rather needs more spatio-temporal parameters (i.e. Time, Location) to be considered. Moreover, big data produced by IoT enabling technologies like wireless sensors, RFID tags and mobile phones introduce new challenges in terms of real-time authentication. This work defines one of the neglected challenges in IoT called uncertainty in authentication. Considering this challenge is important because IoT has a number of characteristics that amplify uncertainty in authentication. Moreover, using existing access control models does not result in flexible and resilient solution to handle uncertainty. Therefore, this work introduces an uncertainty-aware authentication model based on Attribute-Based Access Control (ABAC), which uses spatio-temporal parameters as attributes. Our model can achieve authentication performance with 86.92% accuracy with lower overhead using Neural Networks.

AB - The process of authentication for location-aware services is more challenging over the Internet of Things (IoT) than before due to a number of inherent IoT characteristics like dynamism and heterogeneity. Authentication in such an environment is no longer dependent only upon credentials but rather needs more spatio-temporal parameters (i.e. Time, Location) to be considered. Moreover, big data produced by IoT enabling technologies like wireless sensors, RFID tags and mobile phones introduce new challenges in terms of real-time authentication. This work defines one of the neglected challenges in IoT called uncertainty in authentication. Considering this challenge is important because IoT has a number of characteristics that amplify uncertainty in authentication. Moreover, using existing access control models does not result in flexible and resilient solution to handle uncertainty. Therefore, this work introduces an uncertainty-aware authentication model based on Attribute-Based Access Control (ABAC), which uses spatio-temporal parameters as attributes. Our model can achieve authentication performance with 86.92% accuracy with lower overhead using Neural Networks.

KW - Authentication

KW - Internet of Things

KW - Prediction Model

KW - Spatio-temporal Access Control

KW - Supervised Learning

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85077969273&partnerID=8YFLogxK

U2 - 10.1109/IOTSMS48152.2019.8939230

DO - 10.1109/IOTSMS48152.2019.8939230

M3 - Conference contribution

AN - SCOPUS:85077969273

T3 - 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019

SP - 43

EP - 50

BT - 2019 6th International Conference on Internet of Things

A2 - Alsmirat, Mohammad

A2 - Jararweh, Yaser

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019

Y2 - 22 October 2019 through 25 October 2019

ER -