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DOCTOR OF PHILOSOPHY DISSERTATION DEFENSE BY: Zhaoyang Zhang

When: Wednesday, May 4, 2016
9:00 AM - 11:00 AM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: TOPIC: SECURE AND ENERGY-EFFICIENT WIRELESS BODY AREA NETWORKS

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

ABSTRACT:
Recent advances in wireless networks, energy, and biomedical sensors have boosted the development of Wireless Body Area Networks (WBANs). WBANs provide an opportunity to address issues in rapidly increasing wireless health applications, such as eHealth, remote patient monitoring, and diagnostic.

However, improving the performance of WBANs is challenging in a mobile social environment due to mobility, inter-channel interference, and security concerns.

In this dissertation, two new authentication and encryption algorithms for WBANs are proposed to ensure secure and private data transmissions. One is called ECG-IJS, which is an ECG-based authentication and encryption platform using Improved Jules and Sudan (IJS) scheme. ECG-IJS uses a light-weighted, energy efficient key agreement algorithm, by which features extracted from ECG signals are used as keys to encrypt the message. The other is a channel information based authentication and encryption algorithm (CIAE) for WBANs, which uses keys extracted from the status of wireless channels between sender and receiver. Compared with ECG-IJS, the CIAE algorithm has the similar performance on data security and privacy, but does not need additional ECG sensors.

Further, to address the inter-WBANs interference issues in mobile social environment, a game-based power control approach is proposed to mitigate the interference and improve system energy efficiency. The proposed approach utilizes social contact information and adjusts transmitting power of each WBAN by following the power game to maximize the overall throughput.

The major contributions of my dissertation include: 1) a new ECG-based authentication and encryption algorithm for WBANs communications, including the security and energy analysis of the ECG-IJS algorithm; 2) a new channel information based authentication and encryption algorithm; 3) an effective power control game for intra-WBANs interference mitigation.

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

Advisor: Dr. Honggang Wang
Committee Members: Dr. Paul J. Fortier and Dr. Liudong Xing, Department of Electrical & Computer Engineering; Dr. Cheng Wang, Mathematics Department; Dr. Shaoen Wu, 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