Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/13215
Title: | P/Key: Puf Based Second Factor Authentication | Authors: | Uysal, Ertan Akgün, Mete |
Keywords: | Authentication Physical unclonable function Fingerprint recognition One-time passwords (OTPs) |
Publisher: | Public Library of Science | Abstract: | One-time password (OTP) mechanisms are widely used to strengthen authentication processes. In time-based one-time password (TOTP) mechanisms, the client and server store common secrets. However, once the server is compromised, the client’s secrets are easy to obtain. To solve this issue, hash-chain-based second-factor authentication protocols have been proposed. However, these protocols suffer from latency in the generation of OTPs on the client side because of the hash-chain traversal. Secondly, they can generate only a limited number of OTPs as it depends on the length of the hash-chain. In this paper, we propose a second-factor authentication protocol that utilizes Physically Unclonable Functions (PUFs) to overcome these problems. In the proposed protocol, PUFs are used to store the secrets of the clients securely on the server. In case of server compromise, the attacker cannot obtain the seeds of clients’ secrets and can not generate valid OTPs to impersonate the clients. In the case of physical attacks, including side-channel attacks on the server side, our protocol has a mechanism that prevents attackers from learning the secrets of a client interacting with the server. Furthermore, our protocol does not incur any client-side delay in OTP generation. | URI: | https://doi.org/10.1371/journal.pone.0280181 https://hdl.handle.net/11147/13215 |
ISSN: | 1932-6203 |
Appears in Collections: | Computer Engineering / Bilgisayar Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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File | Description | Size | Format | |
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journal.pone.0280181.pdf | Article | 947.75 kB | Adobe PDF | View/Open |
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