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Oral Comprehensive Exam for Doctoral Candidacy by: Zhouzhou Li

When: Wednesday, August 30, 2017
10:00 AM - 12:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: Topic: A Practical & Efficient Security Scheme for Body Area Networks

Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A

Abstract:
A body area network (BAN) is a wireless network of wearable computing devices. BAN's application domains include health care, sports, entertainment, military, etc. Most of the BAN nodes are resource-constrained, heterogeneous, dynamically deployed with high density. These constraints increase the interoperability difficulties of BAN nodes. BAN's communication is entirely within, on, and in the immediate proximity of a human body. Due to the openness of wireless environment and the significance and privacy of people's physiological data, BAN is easy to incur various attacks. Therefore, strict security mechanisms are required to enable a secure BAN.

The Received Signal Strength Indicator (RSSI) based physical layer security mechanisms are promising in BANs due to the security, availability, and reciprocity of RSSI data. However, these mechanisms are facing critical challenges before they can be practically applied to real BAN systems. First, when RSSI values are used for node authentication, they are not always accurate to decide a node's location. Second, when RSSI (reciprocity) is used as the keying material for symmetric key generation, the corresponding key generation rate is limited by RSSI reciprocity level and data fluctuation. If the body movement is not significant, the RSSI fluctuation (entropy) and reciprocity is not ideal. Third, during key reconciliation, even if only check symbols are passed to the other side (to save energy and keep security), the detail check symbol calculation and error-correcting algorithms still need to satisfy the performance requirement. In this proposal, we will focus on the solutions for the above basic problems by reviewing literature and proposing our new secure scheme for BANs.

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

Co-Advisors: Dr. Honggang Wang and Dr. Hua Fang
Committee Members: Dr. Paul J. Fortier and Dr. Liudong Xing, Department of Electrical & Computer Engineering; Dr. Shaoen Wu, Department of Computer Science, Ball State University

*For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@umassd.edu.
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering