2026-09-21T11:38:24Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/116259 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Kalbarczyk, Zbigniew T 2022-08 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms The student, Chenyang Huang, accepted the attached license on 2022-07-15 at 23:32. The student, Chenyang Huang, submitted this Thesis for approval on 2022-07-15 at 23:46. This Thesis was approved for publication on 2022-07-20 at 15:54. DSpace SAF Submission Ingestion Package generated from Vireo submission #18353 on 2022-11-15 at 18:21:22 DADA: Dynamic authenticator for data access Huang, Chenyang 2022-07-20 Security Authentication Behavioral Biometrics Authentication Recurrent Neural Networks Electronic Medical Record (EMR) Data Engineering Machine Learning User Identification Traditional authentication models for data access are vulnerable to prevalent attack vectors: insider attack, where one or more of the attackers is a genuine user that has proper access to the system; Hacking, where the attackers ac quire the credentials of a legitimate user in the system; Trojan attack, where the attackers injects malicious scripts on legitimate users’ computers. The Multi-Factor-Authentication scheme has gained much popularity in recent years. It remedies the shortcomings of password-based authentication, but is cumbersome and does not fully solve the problem with insider attack. In this study, we explore an approach to authenticate users based on what they do, rather than what they know. By monitoring users’ data access patterns, we show that it is possible to authenticate future access requests by checking if they conform to the established data access behavior pattern of the user. Thesis eng https://hdl.handle.net/2142/116259 © 2022 ChenYang Huang M.S. Thesis Electrical & Computer Engr University of Illinois at Urbana-Champaign Electrical & Computer Eng