TY - GEN
T1 - Evaluating challenge-based trust mechanism in medical smartphone networks
T2 - 2017 IEEE Global Communications Conference, GLOBECOM 2017
AU - Meng, Weizhi
AU - Fei, Fei
AU - Li, Wenjuan
AU - Au, Man Ho
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Intrusion detection systems (IDSs) are one of the widely adopted security tools in protecting computer networks, whereas it is still a big challenge for a single IDS to identify various threats in practice. Collaborative intrusion detection networks (CIDNs) are then developed in order to enhance the detection capability of a single IDS. However, CIDNs are known to suffer from insider attacks, in which malicious nodes can perform adversary actions. To mitigate this issue, challenge-based trust mechanisms are one of the promising solutions in literature, which are robust against various common insider threats. With the popularity of mobile devices, medical smartphone networks (MSNs) have become an emerging network architecture for healthcare organizations to improve the quality of medical services. Due to the sensitivity, there is a great need to defend MSNs against insider attacks. In this work, we conduct an empirical study to investigate and evaluate the implementation of challenge-based mechanism in MSNs. Our work aims to complement current literature, through providing insights and learned lessens (i.e., whether it is suitable to deploy such a mechanism in MSNs).
AB - Intrusion detection systems (IDSs) are one of the widely adopted security tools in protecting computer networks, whereas it is still a big challenge for a single IDS to identify various threats in practice. Collaborative intrusion detection networks (CIDNs) are then developed in order to enhance the detection capability of a single IDS. However, CIDNs are known to suffer from insider attacks, in which malicious nodes can perform adversary actions. To mitigate this issue, challenge-based trust mechanisms are one of the promising solutions in literature, which are robust against various common insider threats. With the popularity of mobile devices, medical smartphone networks (MSNs) have become an emerging network architecture for healthcare organizations to improve the quality of medical services. Due to the sensitivity, there is a great need to defend MSNs against insider attacks. In this work, we conduct an empirical study to investigate and evaluate the implementation of challenge-based mechanism in MSNs. Our work aims to complement current literature, through providing insights and learned lessens (i.e., whether it is suitable to deploy such a mechanism in MSNs).
KW - Challenge-based Mechanism
KW - Collaborative Network
KW - Insider Attack
KW - Intrusion Detection
KW - Trust Computation
UR - http://www.scopus.com/inward/record.url?scp=85046434849&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2017.8254002
DO - 10.1109/GLOCOM.2017.8254002
M3 - Conference article published in proceeding or book
AN - SCOPUS:85046434849
T3 - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 December 2017 through 8 December 2017
ER -