Good Vibrations : Artificial Ambience-Based Relay Attack Detection. / Gurulian, Iakovos; Markantonakis, Konstantinos; Frank, Eibe; Akram, Raja Naeem.

2018. 1-9 Paper presented at The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications, New York, United States.

Research output: Contribution to conferencePaperpeer-review

Published

Standard

Good Vibrations : Artificial Ambience-Based Relay Attack Detection. / Gurulian, Iakovos; Markantonakis, Konstantinos; Frank, Eibe; Akram, Raja Naeem.

2018. 1-9 Paper presented at The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications, New York, United States.

Research output: Contribution to conferencePaperpeer-review

Harvard

Gurulian, I, Markantonakis, K, Frank, E & Akram, RN 2018, 'Good Vibrations: Artificial Ambience-Based Relay Attack Detection', Paper presented at The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications, New York, United States, 31/07/18 - 3/08/18 pp. 1-9. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00075

APA

Gurulian, I., Markantonakis, K., Frank, E., & Akram, R. N. (2018). Good Vibrations: Artificial Ambience-Based Relay Attack Detection. 1-9. Paper presented at The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications, New York, United States. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00075

Vancouver

Gurulian I, Markantonakis K, Frank E, Akram RN. Good Vibrations: Artificial Ambience-Based Relay Attack Detection. 2018. Paper presented at The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications, New York, United States. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00075

Author

Gurulian, Iakovos ; Markantonakis, Konstantinos ; Frank, Eibe ; Akram, Raja Naeem. / Good Vibrations : Artificial Ambience-Based Relay Attack Detection. Paper presented at The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications, New York, United States.9 p.

BibTeX

@conference{7987087efc864f6cb775bf6be8ef3026,
title = "Good Vibrations: Artificial Ambience-Based Relay Attack Detection",
abstract = "Relay attacks are passive man in the middle attacks, aiming to extend the physical distance of devices involved in a transaction beyond their operating environment, within the restricted time-frame. In the field of smartphones, proposals have been put forward suggesting sensing the natural ambient environment as an effective Proximity and Relay Attack Detection (PRAD) mechanism. However, these proposals are not in compliance with industry imposed constraints (e.g.\ EMV and ITSO) mandating that transactions should complete within a certain time-frame (e.g.\ 500ms for EMV contactless transactions). The generation of an artificial ambient environment (AAE) using peripherals of the transaction devices has shown positive results when using infrared light as an AAE actuator. In this paper we propose the use of vibration as an alternative AAE actuator. We empirically evaluated the effectiveness of the proposed solution as a PRAD mechanism on an experimental test-bed that we deployed. A total of 36,000 genuine and relay attack transaction pairs were analysed using well-known machine learning algorithms. The results of our analysis indicate that the proposed solution is highly effective.",
keywords = "Mobile Payments, Mobile Ticketing, Relay Attacks, Ambient Environment Sensing, Contactless, Experimental Analysis",
author = "Iakovos Gurulian and Konstantinos Markantonakis and Eibe Frank and Akram, {Raja Naeem}",
year = "2018",
doi = "10.1109/TrustCom/BigDataSE.2018.00075",
language = "English",
pages = "1--9",
note = "The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications : IEEE TrustCom-18 ; Conference date: 31-07-2018 Through 03-08-2018",
url = "http://www.cloud-conf.net/trustcom18/index.html",

}

RIS

TY - CONF

T1 - Good Vibrations

T2 - The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications

AU - Gurulian, Iakovos

AU - Markantonakis, Konstantinos

AU - Frank, Eibe

AU - Akram, Raja Naeem

PY - 2018

Y1 - 2018

N2 - Relay attacks are passive man in the middle attacks, aiming to extend the physical distance of devices involved in a transaction beyond their operating environment, within the restricted time-frame. In the field of smartphones, proposals have been put forward suggesting sensing the natural ambient environment as an effective Proximity and Relay Attack Detection (PRAD) mechanism. However, these proposals are not in compliance with industry imposed constraints (e.g.\ EMV and ITSO) mandating that transactions should complete within a certain time-frame (e.g.\ 500ms for EMV contactless transactions). The generation of an artificial ambient environment (AAE) using peripherals of the transaction devices has shown positive results when using infrared light as an AAE actuator. In this paper we propose the use of vibration as an alternative AAE actuator. We empirically evaluated the effectiveness of the proposed solution as a PRAD mechanism on an experimental test-bed that we deployed. A total of 36,000 genuine and relay attack transaction pairs were analysed using well-known machine learning algorithms. The results of our analysis indicate that the proposed solution is highly effective.

AB - Relay attacks are passive man in the middle attacks, aiming to extend the physical distance of devices involved in a transaction beyond their operating environment, within the restricted time-frame. In the field of smartphones, proposals have been put forward suggesting sensing the natural ambient environment as an effective Proximity and Relay Attack Detection (PRAD) mechanism. However, these proposals are not in compliance with industry imposed constraints (e.g.\ EMV and ITSO) mandating that transactions should complete within a certain time-frame (e.g.\ 500ms for EMV contactless transactions). The generation of an artificial ambient environment (AAE) using peripherals of the transaction devices has shown positive results when using infrared light as an AAE actuator. In this paper we propose the use of vibration as an alternative AAE actuator. We empirically evaluated the effectiveness of the proposed solution as a PRAD mechanism on an experimental test-bed that we deployed. A total of 36,000 genuine and relay attack transaction pairs were analysed using well-known machine learning algorithms. The results of our analysis indicate that the proposed solution is highly effective.

KW - Mobile Payments

KW - Mobile Ticketing

KW - Relay Attacks

KW - Ambient Environment Sensing

KW - Contactless

KW - Experimental Analysis

U2 - 10.1109/TrustCom/BigDataSE.2018.00075

DO - 10.1109/TrustCom/BigDataSE.2018.00075

M3 - Paper

SP - 1

EP - 9

Y2 - 31 July 2018 through 3 August 2018

ER -