| When intrusion detection meets blockchain technology: a review W Meng, EW Tischhauser, Q Wang, Y Wang, J Han IEEE Access 6, 10179-10188, 2018 | 247 | 2018 |
| Surveying the Development of Biometric User Authentication on Mobile Phones W Meng, DS Wong, S Furnell, J Zhou IEEE Communications Surveys & Tutorials, 2015 | 214 | 2015 |
| Touch gestures based biometric authentication scheme for touchscreen mobile phones Y Meng, DS Wong, R Schlegel, LF Kwok China International Conference on Information Security and Cryptology …, 2012 | 142 | 2012 |
| A survey on OpenFlow-based Software Defined Networks: Security challenges and countermeasures W Li, W Meng, LF Kwok Journal of Network and Computer Applications 68, 126-139, 2016 | 124 | 2016 |
| EFM: Enhancing the Performance of Signature-based Network Intrusion Detection Systems Using Enhanced Filter Mechanism W Meng, W Li, LF Kwok Computers & Security 43, 189-204, 2014 | 66 | 2014 |
| Enhancing collaborative intrusion detection networks against insider attacks using supervised intrusion sensitivity-based trust management model W Li, W Meng, LF Kwok, HS Horace Journal of Network and Computer Applications 77, 135-145, 2017 | 56 | 2017 |
| A bayesian inference-based detection mechanism to defend medical smartphone networks against insider attacks W Meng, W Li, Y Xiang, KKR Choo Journal of Network and Computer Applications 78, 162-169, 2017 | 53 | 2017 |
| The practice on using machine learning for network anomaly intrusion detection YX Meng 2011 International Conference on Machine Learning and Cybernetics 2, 576-581, 2011 | 51 | 2011 |
| Towards Bayesian-based trust management for insider attacks in healthcare software-defined networks W Meng, KKR Choo, S Furnell, AV Vasilakos, CW Probst IEEE Transactions on Network and Service Management 15 (2), 761-773, 2018 | 48 | 2018 |
| Enhancing trust evaluation using intrusion sensitivity in collaborative intrusion detection networks: feasibility and challenges W Li, Y Meng, LF Kwok 2013 Ninth International Conference on Computational Intelligence and …, 2013 | 47 | 2013 |
| Designing collaborative blockchained signature-based intrusion detection in IoT environments W Li, S Tug, W Meng, Y Wang Future Generation Computer Systems 96, 481-489, 2019 | 45 | 2019 |
| Design of intelligent KNNbased alarm filter using knowledgebased alert verification in intrusion detection W Meng, W Li, LF Kwok Security and Communication Networks 8 (18), 3883-3895, 2015 | 45 | 2015 |
| Design of touch dynamics based user authentication with an adaptive mechanism on mobile phones Y Meng, DS Wong, LF Kwok Proceedings of the 29th Annual ACM Symposium on Applied Computing, 1680-1687, 2014 | 45 | 2014 |
| Designing click-draw based graphical password scheme for better authentication Y Meng 2012 IEEE Seventh International Conference on Networking, Architecture, and …, 2012 | 45 | 2012 |
| Enhancing trust management for wireless intrusion detection via traffic sampling in the era of big data W Meng, W Li, C Su, J Zhou, R Lu IEEE Access 6, 7234-7243, 2017 | 44 | 2017 |
| Adaptive False Alarm Filter Using Machine Learning in Intrusion Detection Y Meng, LF Kwok International Conference on Intelligent Systems and Knowledge Engineering …, 2011 | 44 | 2011 |
| Intrusion detection in the era of IoT: Building trust via traffic filtering and sampling W Meng Computer 51 (7), 36-43, 2018 | 43 | 2018 |
| Design of Intrusion Sensitivity-Based Trust Management Model for Collaborative Intrusion Detection Networks W Li, W Meng, LF Kwok The IFIP WG 11.11 International Conference on Trust Management, 61-76, 2014 | 41 | 2014 |
| Adaptive blacklist-based packet filter with a statistic-based approach in network intrusion detection Y Meng, LF Kwok Journal of Network and Computer Applications 39, 83-92, 2014 | 39 | 2014 |
| SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology S Singh, IH Ra, W Meng, M Kaur, GH Cho International Journal of Distributed Sensor Networks 15 (4), 1550147719844159, 2019 | 36 | 2019 |
Wenjuan LiDepartment of Computer Science, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
