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CT-ISG: Physiological Value based Security for Body Area Networks

CT-ISG: Physiological Value based Security for Body Area Networks
CT-ISG:基于生理价值的身体区域网络安全
批准号:
0831544
负责人:
Sandeep Gupta
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2013-08-31

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中文摘要
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英文摘要
This project addresses the challenge of providing usable (plug-and-play, self-configuring, and autonomic) security solutions for Body Area Networks (BANs): networks of economically powered, wireless, wearable and/or implanted health monitoring nodes (sensors and actuators), for collecting and communicating health information and, appropriately administering medicine or prosthetic actions. BANs have many diverse applications including sports health management, home-based health-care and post-operative care. Due to the sensitive nature of the data collected, securing BANs is important for privacy preservation and protecting the host from bodily harm. Traditional security methods require considerable setup efforts in terms of pre-deployment of cryptographic secrets (key distribution). In contrast, this project takes a cyber-physical approach and uses the concept of Physiological Value based Security (PVS), which employs physiological values (PVs) to generate cryptographic keys for securing BANs. Two important issues in this project are: 1) identification of appropriate PVs for generating high-quality keys; and 2) development of signal processing techniques to generate cryptographic keys from the physiological values. For the former issue, the use of common PVs (e.g. Electrocardiogram, Photoplethysmogram, etc.) would be investigated; for the latter, time and frequency domain feature generation techniques would be developed. This project will result in: a) benchmarks for selecting appropriate PVs, b) light-weight measurement and synchronization algorithms to extract PVs in real-time, c) a software and hardware (FPGA-based) prototype implementation of PVS in IMPACT lab?s AYUSHMAN pervasive health monitoring testbed. These results (to be made publicly available at http://impact.asu.edu) will be an important step toward providing dependable, affordable healthcare for all.
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