Context-Aware Active Authentication using Touch Gestures, Typing Patterns and Body Movement

reportActive / Technical Report | Accession Number: AD1005650 | Open PDF

Abstract:

Design, develop and evaluate a desktop based active authentication system using keystroke timing based biometric features. In addition, various analyses, such as solution scalability and stability, longitudinal degradation, impact of linguistic and cognitive context, feature transformation, and review of population statistics based attacks were performed.

Author(s):
O'neal, Mike ; Balagani, Kiran ; Phoha, Vir ; Rosenberg, Andrew ; Serwadda, Abdul ; Karim, Md E.
Author Organization(s):
LOUISIANA TECH UNIVERSITY Ruston United States
Descriptive Note:
Technical Report,01 Sep 2013,01 Sep 2015
Supplementary Note:
DOI: 10.21236/AD1005650
Pagination:
0057

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
AFRL-RI-RS-TR-2016-076
Task Number(s):
LA
Project Number(s):
AAP2
Monitor Series:
AFRL-RI-RS-TR-2016-076
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning; JCA_5.4_Decide; JCA_1.2.1_Training; JCA_5.2.3_Share Knowledge and Situational Awareness; JCA_5.2_Understand; JCA_1.2.7_Experimentation; JCA_5.5.2_Task; JCA_5.5_Direct; JCA_1.2.3_Educating; JCA_1.2.5_Lessons Learned
Modernization Areas:
Quantum Science and Computing; AI and Machine Learning
Communities of Interest:
Human Systems
Descriptor(s):
touch, human body, biometry, pattern recognition, verification
Keyword(s):
Active Authentication, behavioral biometrics, keystroke dynamics, gestures, body movement
Report Date:
2016 Mar 01
Creation Date:
2016 Jul 07