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A Novel and Robust Authentication Factor Based on Network Communications Latency
We propose a new authentication factor based on network round trip time ( \rm {NRTT}). We show how \rm {NRTT} can be used to uniquely and securely identify login locations and hence can support location-based web authentication mechanisms. The first research challenge is how to securely measure and...
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Published in: | IEEE systems journal 2018-12, Vol.12 (4), p.3279-3290 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We propose a new authentication factor based on network round trip time ( \rm {NRTT}). We show how \rm {NRTT} can be used to uniquely and securely identify login locations and hence can support location-based web authentication mechanisms. The first research challenge is how to securely measure and verify \rm {NRTT} to hamper potential forgery attempts. We address the first challenge by introducing a novel forwarding device in the path between the server and the client, dubbed delay mask (DM), which prevents any entity, but the server, from being able to measure the \rm {NRTT} for any client. The second research challenge is how to reliably measure \rm {NRTT} in the face of variable Internet latencies and connectivity conditions. The second challenge is addressed by: first, computing the average of a number of \rm {NRTT} measurements after outlier removal; and second, applying multiple profiles per user through the deployment of multiple DMs in diverse geographical locations. We design a two-factor authentication scheme (dubbed AMAN) that uses legacy passwords as a first factor and \rm {NRTT} as a second authentication factor. We conduct extensive experiments to evaluate security-usability-deployability properties of AMAN and compare it with the state-of-the-art authentication mechanisms. The results show that AMAN achieves the best combination of these properties. |
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ISSN: | 1932-8184 1937-9234 |
DOI: | 10.1109/JSYST.2017.2691550 |