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- Publisher Website: 10.1109/GLOCOM.2017.8254002
- Scopus: eid_2-s2.0-85046434849
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Conference Paper: Evaluating challenge-based trust mechanism in medical smartphone networks: An empirical study
Title | Evaluating challenge-based trust mechanism in medical smartphone networks: An empirical study |
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Authors | |
Keywords | Intrusion Detection Trust Computation Challenge-based Mechanism Collaborative Network Insider Attack |
Issue Date | 2017 |
Citation | 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, 2017, v. 2018-January, p. 1-6 How to Cite? |
Abstract | © 2017 IEEE. 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). |
Persistent Identifier | http://hdl.handle.net/10722/280661 |
DC Field | Value | Language |
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dc.contributor.author | Meng, Weizhi | - |
dc.contributor.author | Fei, Fei | - |
dc.contributor.author | Li, Wenjuan | - |
dc.contributor.author | Au, Man Ho | - |
dc.date.accessioned | 2020-02-17T14:34:36Z | - |
dc.date.available | 2020-02-17T14:34:36Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, 2017, v. 2018-January, p. 1-6 | - |
dc.identifier.uri | http://hdl.handle.net/10722/280661 | - |
dc.description.abstract | © 2017 IEEE. 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). | - |
dc.language | eng | - |
dc.relation.ispartof | 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings | - |
dc.subject | Intrusion Detection | - |
dc.subject | Trust Computation | - |
dc.subject | Challenge-based Mechanism | - |
dc.subject | Collaborative Network | - |
dc.subject | Insider Attack | - |
dc.title | Evaluating challenge-based trust mechanism in medical smartphone networks: An empirical study | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/GLOCOM.2017.8254002 | - |
dc.identifier.scopus | eid_2-s2.0-85046434849 | - |
dc.identifier.volume | 2018-January | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 6 | - |