TY - GEN
T1 - Towards statistical trust computation for medical smartphone networks based on behavioral profiling
AU - Meng, Weizhi
AU - Au, Man Ho Allen
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Due to the popularity of mobile devices, medical smartphone networks (MSNs) have been evolved, which become an emerging network architecture in healthcare domain to improve the quality of service. There is no debate among security experts that the security of Internet-enabled medical devices is woefully inadequate. Although MSNs are mostly internally used, they still can leak sensitive information under insider attacks. In this case, there is a need to evaluate a node’s trustworthiness in MSNs based on the network characteristics. In this paper, we focus on MSNs and propose a statistical trust-based intrusion detection mechanism to detect malicious nodes in terms of behavioral profiling (e.g., camera usage, visited websites, etc.). Experimental results indicate that our proposed mechanism is feasible and promising in detecting malicious nodes under medical environments.
AB - Due to the popularity of mobile devices, medical smartphone networks (MSNs) have been evolved, which become an emerging network architecture in healthcare domain to improve the quality of service. There is no debate among security experts that the security of Internet-enabled medical devices is woefully inadequate. Although MSNs are mostly internally used, they still can leak sensitive information under insider attacks. In this case, there is a need to evaluate a node’s trustworthiness in MSNs based on the network characteristics. In this paper, we focus on MSNs and propose a statistical trust-based intrusion detection mechanism to detect malicious nodes in terms of behavioral profiling (e.g., camera usage, visited websites, etc.). Experimental results indicate that our proposed mechanism is feasible and promising in detecting malicious nodes under medical environments.
KW - Emerging network
KW - Insider attack
KW - Intrusion Detection
KW - Medical smartphone network
KW - Statistical trust computation
UR - http://www.scopus.com/inward/record.url?scp=85020525397&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-59171-1_12
DO - 10.1007/978-3-319-59171-1_12
M3 - Conference article published in proceeding or book
SN - 9783319591704
T3 - IFIP Advances in Information and Communication Technology
SP - 152
EP - 159
BT - Trust Management XI - 11th IFIP WG 11.11 International Conference, IFIPTM 2017, Proceedings
PB - Springer New York LLC
T2 - 11th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2017
Y2 - 12 June 2017 through 16 June 2017
ER -