Weizhi Meng

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Wenjuan LiThe Education University of Hong KongVerified email at cityu.edu.hk
Wayne Chiu (Wei-Yang Chiu)Director / Technical Support BU, AI-Cities Technology Corporation (Taiwan)Verified email at dtu.dk
Jianying ZhouProfessor, Singapore University of Technology and Design (SUTD)Verified email at sutd.edu.sg
Steven FurnellUniversity of NottinghamVerified email at nottingham.ac.uk
Chunhua SuDivision of Computer Science, University of Aizu, JapanVerified email at u-aizu.ac.jp
Duncan S. WongAssociate Professor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
Jinguang HanSoutheast University, ChinaVerified email at seu.edu.cn
Yu WangGuangzhou UniversityVerified email at gzhu.edu.cn
Man Ho AuProfessor, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Liang LiuCollege of Computer Science And Technology, Nanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
Zhe LiuProfessor, Nanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
Yang XiangIEEE Fellow, Professfor, Swinburne University of TechnologyVerified email at swin.edu.au
Rishikesh SahayUniversity of Illinois at SpringfieldVerified email at uis.edu
Jin Li 李进Professor @Guangzhou UniversityVerified email at gzhu.edu.cn
Rongxing LuIEEE Fellow, Professor in School of Computing, Queen's UniversityVerified email at queensu.ca
Liming FangNanjing University of Aeronautics and Astronautics, ProfessorVerified email at nuaa.edu.cn
Xiapu LuoThe Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Michael BarfodAssociate professor, Technical University of DenmarkVerified email at dtu.dk
Chunpeng GeUniversity of Wollongong, Research FellowVerified email at uow.edu.au
Daniel A. Sepulveda EstayPhD, Supply Chain PM, Novo Nordisk A/SVerified email at novonordisk.com

Weizhi Meng

Professor, Lancaster University, United Kingdom

Verified email at lancaster.ac.uk - Homepage

Cyber Security Blockchain and IoT/CPS Intrusion Detection AI/Smartphone Security and Biometric


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When intrusion detection meets blockchain technology: a review W Meng, EW Tischhauser, Q Wang, Y Wang, J Han IEEE Access 6, 10179-10188, 2018	623	2018
Surveying the Development of Biometric User Authentication on Mobile Phones W Meng, DS Wong, S Furnell, J Zhou IEEE Communications Surveys & Tutorials, 2015	351	2015
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	236	2016
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	219	2019
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	181	2012
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	167	2019
Enhancing medical smartphone networks via blockchain-based trust management against insider attacks W Meng, W Li, L Zhu IEEE Transactions on Engineering Management 67 (4), 1377-1386, 2019	144	2019
Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments W Li, W Meng, MH Au Journal of Network and Computer Applications 161, 102631, 2020	141	2020
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	130	2018
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	115	2014
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	108	2017
The application of software defined networking on securing computer networks: A survey R Sahay, W Meng, CD Jensen Journal of Network and Computer Applications 131, 89-108, 2019	103	2019
Intrusion detection in the era of IoT: Building trust via traffic filtering and sampling W Meng Computer 51 (7), 36-43, 2018	99	2018
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	97	2017
Design of intelligent KNN‐based alarm filter using knowledge‐based alert verification in intrusion detection W Meng, W Li, LF Kwok Security and Communication Networks 8 (18), 3883-3895, 2015	97	2015
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	91	2011
Detection of multiple-mix-attack malicious nodes using perceptron-based trust in IoT networks L Liu, Z Ma, W Meng Future generation computer systems 101, 865-879, 2019	90	2019
Adaptive machine learning‐based alarm reduction via edge computing for distributed intrusion detection systems Y Wang, W Meng, W Li, Z Liu, Y Liu, H Xue Concurrency and Computation: Practice and Experience 31 (19), e5101, 2019	89	2019
A fog-based privacy-preserving approach for distributed signature-based intrusion detection Y Wang, W Meng, W Li, J Li, WX Liu, Y Xiang Journal of Parallel and Distributed Computing 122, 26-35, 2018	88	2018
Detecting insider attacks in medical cyber–physical networks based on behavioral profiling W Meng, W Li, Y Wang, MH Au Future Generation Computer Systems 108, 1258-1266, 2020	82	2020

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