Abstract
(BANs) gained immense consideration due to its applicability in the medical field. In this paper we propose a Hybrid type of Key management technique which uses human Physiological Values based generated keys as well as some preloaded keys in order to secure the wireless communication of BAN. We assume BAN to be a heterogeneous sensor network having the capability of measuring different physiological values from human body. The process is made efficient by using LBP for feature generation from Electrocardiogram (EKG/EKG) signal. The security analysis is evaluated through NIST - a randomness testing suite.
Original language | English |
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Title of host publication | SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing |
Pages | 85-88 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2013 |
Externally published | Yes |
Event | 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013 - Honolulu, United States Duration: 01 Jul 2013 → 03 Jul 2013 |
Publication series
Name | SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing |
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Conference
Conference | 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013 |
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Country/Territory | United States |
City | Honolulu |
Period | 01/07/2013 → 03/07/2013 |
Bibliographical note
Copyright:Copyright 2013 Elsevier B.V., All rights reserved.
Keywords
- Body Area Network (BAN)
- Electrocardiogram (ECG/EKG)
- Physiological values (PVs)
ASJC Scopus subject areas
- Artificial Intelligence
- Software