Abstract
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 language | English |
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Title of host publication | Proceedings of 2017 IEEE Global Communications Conference |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 2017 |
Pages | 6 pp. |
ISBN (Print) | 9781509050192 |
DOIs | |
Publication status | Published - 2017 |
Event | 2017 IEEE Global Communications Conference - Singapore, Singapore Duration: 4 Dec 2017 → 8 Dec 2017 https://ieeexplore.ieee.org/xpl/conhome/8253768/proceeding |
Conference
Conference | 2017 IEEE Global Communications Conference |
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Country/Territory | Singapore |
City | Singapore |
Period | 04/12/2017 → 08/12/2017 |
Internet address |
Keywords
- Intrusion Detection
- Collaborative Network
- Insider Attack
- Challenge-based Mechanism
- Trust Computation