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Filtering by: Contributor Venkatasubramanian, Krishna Kumar Unit (Department) Computer Science

1. Secure Key Agreement for Wearable Medical Devices

Keyword:: Body Area Network Security, WBAN, Bio-cryptography, Physiological signals, and Symmetric key agreement
Creator:: Kasparek, Alexander J.
Advisor:: Shue, Craig A. and Venkatasubramanian, Krishna Kumar
Publisher:: Worcester Polytechnic Institute
Date Created:: 2019-12-11
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

2. Detecting Data Manipulation Attacks on Physiological Sensor Measurements in Wearable Medical Systems

Keyword:: Detection, Data Manipulation Attacks, and Wearable Medical System
Creator:: Cai, Hang
Advisor:: Venkatasubramanian, Krishna Kumar
Publisher:: Worcester Polytechnic Institute
Date Created:: 2018-08-09
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

3. Ballistocardiography-based Authentication using Convolutional Neural Networks

Keyword:: Neural Networks, Security, biometrics, wearable technology, and ballistocardiography
Creator:: Hebert, Joshua A.
Advisor:: Venkatasubramanian, Krishna Kumar
Publisher:: Worcester Polytechnic Institute
Date Created:: 2018-04-25
Resource Type:: Report
Degree:: MS
Unit (Department):: Computer Science

4. Using Ballistocardiography to Perform Key Distribution in Wearable IoT Networks

Keyword:: key distribution, wireless communication channel security , symmetric cryptography, wearable IoT networks, physiological signals, vital signs, and ballistocardiography
Creator:: Witt, Alexander W.
Advisor:: Venkatasubramanian, Krishna Kumar
Publisher:: Worcester Polytechnic Institute
Date Created:: 2017-05-20
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

5. Systematic Vulnerability Evaluation of Interoperable Medical Device System using Attack Trees

Keyword:: Attack Trees, Vulnerability Evaluation, and Interoperable Medical Device System
Creator:: Xu, Jian
Advisor:: Venkatasubramanian, Krishna Kumar
Publisher:: Worcester Polytechnic Institute
Date Created:: 2015-12-10
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science