AUTOBAN : secure low-power body area network for real-time physiological status monitoring
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/106010 |
| _version_ | 1811078381557514240 |
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| author | Holliman, John H., III |
| author2 | Roger I. Khazan and Michael A. Zhivich. |
| author_facet | Roger I. Khazan and Michael A. Zhivich. Holliman, John H., III |
| author_sort | Holliman, John H., III |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T10:58:36Z |
| format | Thesis |
| id | mit-1721.1/106010 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:58:36Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1060102019-04-12T17:24:12Z AUTOBAN : secure low-power body area network for real-time physiological status monitoring Secure low-power body area network for real-time physiological status monitoring Holliman, John H., III Roger I. Khazan and Michael A. Zhivich. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 89-94). Real-time monitoring of physiological data can reduce the likelihood of injury in noncombat military personnel and first-responders. MIT Lincoln Laboratory is developing a tactical Real-Time Physiological Status Monitoring (RT-PSM) system architecture and reference implementation named OBAN (Open Body Area Network), the purpose of which is to provide an open, government-owned framework for integrating multiple wearable sensors and applications. The OBAN implementation accepts data from various sensors enabling calculation of physiological strain information which may be used by squad leaders or medics to assess the team's health and enhance safety and effectiveness of mission execution. Security in terms of measurement integrity, confidentiality, and authenticity is an area of interest because OBAN system components exchange sensitive data in contested environments. In this thesis, I analyze potential cyber-security threats and their associated risks to a generalized version of the OBAN architecture. Using the threat analysis, I identify security requirements for RT-PSM systems and describe the development of a secure RT-PSM system, called the Authenticated and Trustworthy Open Body Area Network (AUTOBAN) proof-of-concept implementation, that meets those requirements using cryptographic primitives that operate efficiently on low-power embedded devices. The threat analysis and proof-of-concept application, are intended to inform the development of secure RT-PSM architectures and implementations. by John H. Holliman, III. M. Eng. 2016-12-22T15:18:27Z 2016-12-22T15:18:27Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106010 965799996 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Holliman, John H., III AUTOBAN : secure low-power body area network for real-time physiological status monitoring |
| title | AUTOBAN : secure low-power body area network for real-time physiological status monitoring |
| title_full | AUTOBAN : secure low-power body area network for real-time physiological status monitoring |
| title_fullStr | AUTOBAN : secure low-power body area network for real-time physiological status monitoring |
| title_full_unstemmed | AUTOBAN : secure low-power body area network for real-time physiological status monitoring |
| title_short | AUTOBAN : secure low-power body area network for real-time physiological status monitoring |
| title_sort | autoban secure low power body area network for real time physiological status monitoring |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106010 |
| work_keys_str_mv | AT hollimanjohnhiii autobansecurelowpowerbodyareanetworkforrealtimephysiologicalstatusmonitoring AT hollimanjohnhiii securelowpowerbodyareanetworkforrealtimephysiologicalstatusmonitoring |