Term of Award
Spring 2016
Degree Name
Master of Science in Computer Science (M.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Computer Sciences
Committee Chair
James Harris
Committee Member 1
Lixin Li
Committee Member 2
Youming Li
Abstract
Because of the inherent risks in today’s online activities, it becomes imperative to identify a malicious user masquerading as someone else. Incorporating biometric analysis enhances the confidence of authenticating valid users over the Internet while providing additional layers of security with no hindrance to the end user. Through the analysis of traffic patterns and HTTP Header analysis, the detection and early refusal of robot agents plays a great role in reducing fraudulent login attempts.
Recommended Citation
Cooley, Ben. DETERMINING UNIQUE AGENTS BY EVALUATING WEB FORM INTERACTION
