Evaluating challenge-based trust mechanism in medical smartphone networks: an empirical study

Weizhi Meng, Fei Fei, Wenjuan Li, Man Ho Au

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


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).
Original languageEnglish
Title of host publicationProceedings of 2017 IEEE Global Communications Conference
Number of pages6
Publication date2017
Pages6 pp.
ISBN (Print)9781509050192
Publication statusPublished - 2017
Event2017 IEEE Global Communications Conference - Singapore, Singapore
Duration: 4 Dec 20178 Dec 2017


Conference2017 IEEE Global Communications Conference
SeriesGlobecom 2017 - 2017 Ieee Global Communications Conference


  • Intrusion Detection
  • Collaborative Network
  • Insider Attack
  • Challenge-based Mechanism
  • Trust Computation


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