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MASTER OF SCIENCE THESIS DEFENSE BY: Matthew A. Crossman

When: Monday, August 8, 2016
10:00 AM - 12:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: TOPIC: TWO-FACTOR AUTHENTICATION THROUGH NEAR-FIELD COMMUNICATION

LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A

ABSTRACT:
The advent of the Cloud and the Internet of Things (IoT) has given rise to large collection of user data. Without proper security precautions, the user data are left exposed both to lone hackers and nation states. Such breaches, where sensitive data were compromised, have shaken the users trust in cloud services. High profile cases include attacks on iCloud, LastPass, and even the Office of Personnel Management for the United States Government. The Cloud and the IoT require a way of assuring users of their data security. Authentication, the process of verifying users identities, is the first line of defense in cybersecurity.

This work examines current popular approaches in user authentication. Specifically, multi-factor methods are studied, where users present a combination of something they know, something they have, and something they are. A new approach to Two-Factor Authentication is proposed through the use of Near-Field Communication (NFC) enabled smartphones. The scheme offers operational convenience with strong authentication. The proposed method is qualitatively compared to existing methods, and a prototype application is demonstrated.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Hong Liu

Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering and
Dr. Timothy Shea, Department of Computer & Information Science

*For further information, please contact Dr. Hong Liu at 508.999.8514, or via email at hliu@umassd.edu.
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering