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http://dspace.cityu.edu.hk/handle/2031/58Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Panda, Sourav | en_US |
| dc.date.accessioned | 2018-01-31T01:41:54Z | |
| dc.date.accessioned | 2019-02-12T06:53:57Z | - |
| dc.date.available | 2018-01-31T01:41:54Z | |
| dc.date.available | 2019-02-12T06:53:57Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.other | 2017csps473 | en_US |
| dc.identifier.uri | http://144.214.8.231/handle/2031/58 | - |
| dc.description.abstract | In this project, we examine a nascent non-static biometric technique, keystroke dynamics, to verify the identity of individuals during password entry. This research takes a closer look at keystroke acoustic emanation for the purpose of engineering behavioral features and modelling them into a resilient, foolproof authentication system. This work investigates several topics pertaining to keystroke dynamics and side channel analysis, and proposes a novel safeguard that complements the conventional password entry paradigm. | en_US |
| dc.title | Behavioral PIN verification | en_US |
| dcterms.rights | This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner. | en_US |
| dcterms.rights | Access is restricted to CityU users. | en_US |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.description.supervisor | Supervisor: Dr. Hancke, Gerhard Petrus; First Reader: Dr. Wang, Cong; Second Reader: Prof. Wang, Jun | en_US |
| Appears in Collections: | Computer Science - Undergraduate Final Year Projects | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| fulltext.html | 147 B | HTML | View/Open |
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