TY - GEN
T1 - FPGA based real time 'secure' body temperature monitoring suitable for WBSN
AU - Rao, Muzaffar
AU - Newe, Thomas
AU - Grout, Ian
AU - Lewis, Elfed
AU - Mathur, Avijit
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/22
Y1 - 2015/12/22
N2 - In wireless body sensor networks (WBSNs), sensors continuously monitor human physiological activities using medical sensors, for example; blood pressure, body temperature and electrocardiography (ECG). A WBSN can be used to develop a patient monitoring system. The traditional body sensor networks (BSNs) have limited hardware resources in terms of computational capabilities, data processing speed, memory and battery life. Also these BSNs are generally not suitable for the implementation of security mechanisms, reason is that, implementation of security mechanisms require relatively more hardware resources because of the complexity of their algorithms. To get rid of these limitations a Field Programmable Gate Array (FPGA) device is suitable because of its flexible architecture and high performance features. In this paper an FPGA based experimental framework is investigated to implement real time body temperature monitoring with reliable data transmission, using data integrity verification. This data integrity check is very important for patient monitoring systems as unreliable data could lead the healthcare professionals to make an incorrect diagnosis concerning patients health. The data integrity verification is achieved using newly selected cryptographic hash function called, SHA-3 (Secure Hash Algorithm-3). To the best of authors knowledge, all previously published FPGA based WBSNs implementations did not implemented any security mechanisms to secure physiological data, so this work is the first contribution regarding it.
AB - In wireless body sensor networks (WBSNs), sensors continuously monitor human physiological activities using medical sensors, for example; blood pressure, body temperature and electrocardiography (ECG). A WBSN can be used to develop a patient monitoring system. The traditional body sensor networks (BSNs) have limited hardware resources in terms of computational capabilities, data processing speed, memory and battery life. Also these BSNs are generally not suitable for the implementation of security mechanisms, reason is that, implementation of security mechanisms require relatively more hardware resources because of the complexity of their algorithms. To get rid of these limitations a Field Programmable Gate Array (FPGA) device is suitable because of its flexible architecture and high performance features. In this paper an FPGA based experimental framework is investigated to implement real time body temperature monitoring with reliable data transmission, using data integrity verification. This data integrity check is very important for patient monitoring systems as unreliable data could lead the healthcare professionals to make an incorrect diagnosis concerning patients health. The data integrity verification is achieved using newly selected cryptographic hash function called, SHA-3 (Secure Hash Algorithm-3). To the best of authors knowledge, all previously published FPGA based WBSNs implementations did not implemented any security mechanisms to secure physiological data, so this work is the first contribution regarding it.
KW - FPGA
KW - SHA-3
KW - WBSNs
UR - http://www.scopus.com/inward/record.url?scp=84964211608&partnerID=8YFLogxK
U2 - 10.1109/CIT/IUCC/DASC/PICOM.2015.22
DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.22
M3 - Conference contribution
AN - SCOPUS:84964211608
T3 - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
SP - 140
EP - 143
BT - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
A2 - Atzori, Luigi
A2 - Jin, Xiaolong
A2 - Jarvis, Stephen
A2 - Liu, Lei
A2 - Calvo, Ramon Aguero
A2 - Hu, Jia
A2 - Min, Geyong
A2 - Georgalas, Nektarios
A2 - Wu, Yulei
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
Y2 - 26 October 2015 through 28 October 2015
ER -