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Other literature type . 2018
License: CC BY
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Computer Networks
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2018
Data sources: DBLP
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Secure key agreement protocols: Pure biometrics and cancelable biometrics

Authors: Dilara Akdogan; Duygu Karaoglan Altop; Laleh Eskandarian; Albert Levi;

Secure key agreement protocols: Pure biometrics and cancelable biometrics

Abstract

Abstract In this paper, we propose two novel biometrics-based secure key agreement protocols, namely Secure Key Agreement-Pure Biometrics (SKA-PB) and Secure Key Agreement-Cancelable Biometrics (SKA-CB). Each of our protocols uses biometrics with unordered features. SKA-PB protocol provides symmetric cryptographic key agreement between the user and the server. This key is generated by utilizing only the feature points of the user’s biometrics. In other words, SKA-PB protocol does not generate the key randomly or it does not use any random data in the key itself. On the other hand, SKA-CB protocol integrates the cancelability property into SKA-PB protocol by the use of a device-specific binary string. In SKA-CB protocol, biometric templates can be canceled at any time as a precaution to template compromise. As a proof of concept, we implement these protocols using fingerprints and employ multi-criteria security and complexity analyses for both of them. These security analyses show that the generated keys possess sufficient randomness according to Shannon’s entropy. Additionally, these keys are distinct from each other, as measured by Hamming distance metric. Our protocols are also robust against brute-force, replay and impersonation attacks, proven by high attack complexity and low error rates.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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14
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