Weizhi Meng

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Soavtorji

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

Spremljaj

Weizhi Meng

Professor, Lancaster University, United Kingdom

Preverjeni e-poštni naslov na lancaster.ac.uk - Domača stran

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


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
When intrusion detection meets blockchain technology: a review W Meng, EW Tischhauser, Q Wang, Y Wang, J Han IEEE Access 6, 10179-10188, 2018	619	2018
Surveying the Development of Biometric User Authentication on Mobile Phones W Meng, DS Wong, S Furnell, J Zhou IEEE Communications Surveys & Tutorials, 2015	355	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	235	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	184	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	161	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	140	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	133	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	120	2014
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	108	2019
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
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	98	2017
Intrusion detection in the era of IoT: Building trust via traffic filtering and sampling W Meng Computer 51 (7), 36-43, 2018	97	2018
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	96	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	92	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	91	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	90	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	89	2018
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	84	2017

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