File:USER IDENTIFICATION THROUGH KEYSTROKE BIOMETRICS AT AN INTERNET SCALE (IA useridentificati1094564089).pdf
Original file (1,275 × 1,650 pixels, file size: 2.19 MB, MIME type: application/pdf, 86 pages)
Captions
Captions
Summary[edit]
USER IDENTIFICATION THROUGH KEYSTROKE BIOMETRICS AT AN INTERNET SCALE
(   ) |
|
|---|---|
| Author |
Veazey, Mark W. |
| Title |
USER IDENTIFICATION THROUGH KEYSTROKE BIOMETRICS AT AN INTERNET SCALE |
| Publisher |
Monterey, CA; Naval Postgraduate School |
| Description |
Identification of users on the internet has broad-reaching implications in the computer science discipline regarding cyber security and privacy. Keystroke biometrics leverages the unique dynamics of how a user types to perform identification; however, current methods of authentication and identification using keystroke dynamics do not scale well beyond a few hundred users. This thesis investigates the feasibility of using conventional machine learning and deep learning techniques to identify users at an internet scale. By analyzing free-text keystroke information from a collection of over 100,000 users, several methods to perform user identification and profiling are identified, with a focus on determining how the size of the dataset affects identification accuracy. This thesis includes a novel method of representing keystroke data in a two-dimensional format suitable for a convolutional neural network, and it examines to what extent keystroke biometrics has implications for privacy on the internet. Subjects: artificial intelligence; machine learning; neural networks; keystroke biometrics; keystroke dynamics; authentication; identification; cyber security; fingerprinting |
| Language | English |
| Publication date | December 2019 |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
| Accession number |
useridentificati1094564089 |
| Source | |
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
Licensing[edit]
|
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
|
 |
| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 19:24, 25 July 2020 |  | 1,275 × 1,650, 86 pages (2.19 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection useridentificati1094564089 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #31565) |
You cannot overwrite this file.
File usage on Commons
The following page uses this file: