TY - GEN
T1 - Ubiquitous RFID healthcare systems analysis on PhysioNet grid portal services using Petri nets
AU - Choi, Sae Sol
AU - Choi, Mun Kee
AU - Song, Won Jay
AU - Son, Sang H.
PY - 2005
Y1 - 2005
N2 - In this paper, we have studied ubiquitous personal Healthcare systems using radio frequency identification (RFID) tag, wearable electrocardiogram (ECG) sensor, smart card, PQRM Grid computing, PhysioNet, wired/wireless network, and public-key infrastructure (PKI) technologies. For research and development of these systems, we have also designed and modeled the system architecture and framework workflow, which are described by six classified core players or subsystems. They are consisting of the patient area network and wearable sensor provider, network service provider, healthcare service provider, emergency service provider, and PKI service providers, whose individual private and public keys should be stored on their smart card and be used to enhance security level control for the patient's medical privacy. All ECG measured data in wearable ECG sensor and analyzed data in Grid computing with PhysioNet should be encrypted by using an individually generated one-time secure key with expire-time by the patient's and healthcare service provider's private keys, respectively. These encrypted medical data and encrypted secure keys should be also transferred to the network service provider via secured communication channels in wired/wireless networks. In addition, these encrypted data and keys should be stored on the secured database directory of network service provider. Therefore, all of the patient and providers need suitable secure private and public keys in order to access to ECG medical raw data, diagnosis results and tracking Information for emergency service. By enforcing the requirements of necessary keys among the patient and providers, the patient's ECG data can be successfully protected and be effectively controlled over the open medical directory service. Consequently, the proposed architecture for ubiquitous RFID healthcare system is appropriate to build up medical privacy policies. Further, the system architecture workflow is modeled and verified using Petri nets.
AB - In this paper, we have studied ubiquitous personal Healthcare systems using radio frequency identification (RFID) tag, wearable electrocardiogram (ECG) sensor, smart card, PQRM Grid computing, PhysioNet, wired/wireless network, and public-key infrastructure (PKI) technologies. For research and development of these systems, we have also designed and modeled the system architecture and framework workflow, which are described by six classified core players or subsystems. They are consisting of the patient area network and wearable sensor provider, network service provider, healthcare service provider, emergency service provider, and PKI service providers, whose individual private and public keys should be stored on their smart card and be used to enhance security level control for the patient's medical privacy. All ECG measured data in wearable ECG sensor and analyzed data in Grid computing with PhysioNet should be encrypted by using an individually generated one-time secure key with expire-time by the patient's and healthcare service provider's private keys, respectively. These encrypted medical data and encrypted secure keys should be also transferred to the network service provider via secured communication channels in wired/wireless networks. In addition, these encrypted data and keys should be stored on the secured database directory of network service provider. Therefore, all of the patient and providers need suitable secure private and public keys in order to access to ECG medical raw data, diagnosis results and tracking Information for emergency service. By enforcing the requirements of necessary keys among the patient and providers, the patient's ECG data can be successfully protected and be effectively controlled over the open medical directory service. Consequently, the proposed architecture for ubiquitous RFID healthcare system is appropriate to build up medical privacy policies. Further, the system architecture workflow is modeled and verified using Petri nets.
KW - Grid computing
KW - Medical privacy control
KW - PKI
KW - PQRM
KW - PhysioNet
KW - RFID
KW - Smart card
KW - Ubiquitous healthcare system
UR - https://www.scopus.com/pages/publications/34147093689
M3 - Conference contribution
AN - SCOPUS:34147093689
SN - 0780392833
SN - 9780780392830
T3 - 2005 Fifth International Conference on Information, Communications and Signal Processing
SP - 1254
EP - 1258
BT - 2005 Fifth International Conference on Information, Communications and Signal Processing
T2 - 2005 Fifth International Conference on Information, Communications and Signal Processing
Y2 - 6 December 2005 through 9 December 2005
ER -