C. Duma, M. Karresand, N. Shahmehri, and G. Caronni, A Trust-Aware, P2P-Based Overlay for Intrusion Detection, 17th International Conference on Database and Expert Systems Applications (DEXA'06), pp.692-697, 2006.
DOI : 10.1109/DEXA.2006.21

C. J. Fung, O. Baysal, J. Zhang, I. Aib, and R. Boutaba, Trust Management for Host-Based Collaborative Intrusion Detection, DSOM 2008, pp.109-122, 2008.
DOI : 10.1145/1151454.1151495

C. J. Fung, . J. Zhang, I. Aib, and R. Boutaba, Robust and scalable trust management for collaborative intrusion detection, 2009 IFIP/IEEE International Symposium on Integrated Network Management, pp.33-40, 2009.
DOI : 10.1109/INM.2009.5188784

J. Healey, N. Pollard, and B. Woods, The Healthcare Internet of Things: Rewards and Risks Available at, 2015.

Z. Li, Y. Chen, and A. Beach, Towards scalable and robust distributed intrusion alert fusion with good load balancing, Proceedings of the 2006 SIGCOMM workshop on Large-scale attack defense , LSAD '06, pp.115-122, 2006.
DOI : 10.1145/1162666.1162669

URL : http://www.cs.northwestern.edu/~zli109/publication/Li-LSAD06.pdf

W. Li, Y. Meng, and L. Kwok, Enhancing Trust Evaluation Using Intrusion Sensitivity in Collaborative Intrusion Detection Networks: Feasibility and Challenges, 2013 Ninth International Conference on Computational Intelligence and Security, pp.518-522, 2013.
DOI : 10.1109/CIS.2013.115

W. Li, Y. Meng, and L. Kwok, Design of Intrusion Sensitivity-Based Trust Management Model for Collaborative Intrusion Detection Networks, Proceedings of the 8th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), pp.61-76, 2014.
DOI : 10.1007/978-3-662-43813-8_5

URL : https://hal.archives-ouvertes.fr/hal-01381679

W. Li, Y. Meng, L. Kwok, and H. H. Ip, Enhancing collaborative intrusion detection networks against insider attacks using supervised intrusion sensitivity-based trust management model, Journal of Network and Computer Applications, vol.77, pp.135-145, 2017.
DOI : 10.1016/j.jnca.2016.09.014

Y. Meng and L. Kwok, Enhancing False Alarm Reduction Using Voted Ensemble Selection in Intrusion Detection, International Journal of Computational Intelligence Systems, vol.6, issue.4, pp.626-638, 2013.
DOI : 10.1080/18756891.2013.802114

URL : http://atlantis-press.com/php/download_paper.php?id=25868410

Y. Meng, L. Kwok, and W. Li, Towards Designing Packet Filter with a Trust-Based Approach Using Bayesian Inference in Network Intrusion Detection, SecureComm 2012. LNICST, p.203221, 2013.
DOI : 10.1109/WCNC.2007.538

Y. Meng, W. Li, and L. Kwok, Evaluation of Detecting Malicious Nodes Using Bayesian Model in Wireless Intrusion Detection, The 7th International Conference on Network and System Security (NSS), pp.40-53, 2013.
DOI : 10.1007/978-3-642-38631-2_4

W. Meng, W. Li, and L. Kwok, EFM: Enhancing the performance of signature-based network intrusion detection systems using enhanced filter mechanism, Computers & Security, vol.43, pp.189-204, 2014.
DOI : 10.1016/j.cose.2014.02.006

Y. Meng and L. Kwok, Adaptive blacklist-based packet filter with a statistic-based approach in network intrusion detection, Journal of Network and Computer Applications, vol.39, pp.83-92, 2014.
DOI : 10.1016/j.jnca.2013.05.009

W. Meng, W. Li, and L. Kwok, Design of intelligent KNN-based alarm filter using knowledge-based alert verification in intrusion detection, Security and Communication Networks, vol.40, issue.1, pp.3883-3895, 2015.
DOI : 10.1016/j.patcog.2006.12.019

W. Meng, W. Li, Y. Xiang, and K. R. Choo, A bayesian inference-based detection mechanism to defend medical smartphone networks against insider attacks, Journal of Network and Computer Applications, vol.78, pp.162-169, 2017.
DOI : 10.1016/j.jnca.2016.11.012

URL : http://orbit.dtu.dk/en/publications/a-bayesian-inferencebased-detection-mechanism-to-defend-medical-smartphone-networks-against-insider-attacks(9fd91057-60fd-42e5-a099-0b9911ef9078).html

Y. Wu, B. Foo, Y. Mei, and S. Bagchi, Collaborative Intrusion Detection System (CIDS): A Framework for Accurate and Efficient IDS, Proceedings of the 2003 Annual Computer Security Applications Conference (ACSAC), pp.234-244, 2003.