World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
37
Citations
5065
World Ranking
764
National Ranking
4

Computer Science

D-Index
41
Citations
6076
World Ranking
8927
National Ranking
545

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award
  • 2020 - ACM Senior Member

Overview

Weizhi Meng is affiliated with the Technical University of Denmark in Denmark and has an extensive research profile primarily within the field of Computer Science. Their work spans various subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing, and Computer Vision and Pattern Recognition.

Their research topics cover a diverse range of areas, notably Network Security and Intrusion Detection, Blockchain Technology Applications and Security, Advanced Malware Detection Techniques, Privacy-Preserving Technologies in Data, Cryptography and Data Security, Internet Traffic Analysis and Secure E-voting, as well as User Authentication and Security Systems.

Recent publications by Weizhi Meng include:

  • Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments, 2020, Journal of Network and Computer Applications
  • A survey of deep learning-based intrusion detection in automotive applications, 2023, Expert Systems with Applications
  • Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions, 2021, IEEE Communications Surveys & Tutorials
  • Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration, 2020, Information Fusion
  • Editorial: Blockchain in Industrial IoT Applications: Security and Privacy Advances, Challenges, and Opportunities, 2020, IEEE Transactions on Industrial Informatics

Frequent co-authors with whom Meng has collaborated include Wenjuan Li, Wei-Yang Chiu, Christian D. Jensen, Chunhua Su, and Liehuang Zhu.

Weizhi Meng's publications are often found in venues such as IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, arXiv (Cornell University), SSRN Electronic Journal, and Computers & Security.

In terms of book publications, Weizhi Meng has contributed to works published by Springer Science+Business Media, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, and Springer International Publishing. Some notable book contributions include:

  • International Conference on Neural Computing for Advanced Applications, 2023
  • Computer Security - ESORICS 2022, 2022
  • Applied Cryptography and Network Security Workshops, 2021
  • Information Security Practice and Experience, 2023
  • Deep Biometrics, 2020
  • Blockchain Technology and Emerging Technologies, 2023

Meng was awarded the ACM Senior Member distinction in 2020, reflecting engagement with the computing community.

Best Publications

  • When Intrusion Detection Meets Blockchain Technology: A Review

    Weizhi Meng;Elmar Wolfgang Tischhauser;Qingju Wang;Yu Wang

  • Surveying the Development of Biometric User Authentication on Mobile Phones

    Weizhi Meng;Duncan S. Wong;Steven Furnell;Jianying Zhou

  • Designing collaborative blockchained signature-based intrusion detection in IoT environments

    Wenjuan Li;Wenjuan Li;Steven Tug;Weizhi Meng;Weizhi Meng;Yu Wang

  • A survey on OpenFlow-based Software Defined Networks

    Wenjuan Li;Weizhi Meng;Lam For Kwok

  • SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology:

    Saurabh Singh;In-Ho Ra;Weizhi Meng;Maninder Kaur

  • Enhancing Medical Smartphone Networks via Blockchain-Based Trust Management Against Insider Attacks

    Weizhi Meng;Wenjuan Li;Liqiu Zhu

  • Towards Bayesian-Based Trust Management for Insider Attacks in Healthcare Software-Defined Networks

    Weizhi Meng;Kim-Kwang Raymond Choo;Steven Furnell;Athanasios V. Vasilakos

  • Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments

    Wenjuan Li;Wenjuan Li;Weizhi Meng;Weizhi Meng;Man Ho Au

  • EFM: Enhancing the performance of signature-based network intrusion detection systems using enhanced filter mechanism

    Weizhi Meng;Wenjuan Li;Lam-For Kwok

  • A survey of deep learning-based intrusion detection in automotive applications

    Unknown

  • Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

    Unknown

  • Enhancing collaborative intrusion detection networks against insider attacks using supervised intrusion sensitivity-based trust management model

    Wenjuan Li;Weizhi Meng;Lam-For Kwok;Horace H.S. Ip

  • Design of intelligent KNN-based alarm filter using knowledge-based alert verification in intrusion detection

    Weizhi Meng;Wenjuan Li;Lam-For Kwok

  • Intrusion Detection in the Era of IoT: Building Trust via Traffic Filtering and Sampling

    Weizhi Meng

  • The application of Software Defined Networking on securing computer networks: A survey

    Rishikesh Sahay;Weizhi Meng;Christian Damsgaard Jensen

  • Enhancing Trust Management for Wireless Intrusion Detection via Traffic Sampling in the Era of Big Data

    Weizhi Meng;Wenjuan Li;Chunhua Su;Jianying Zhou

  • A fog-based privacy-preserving approach for distributed signature-based intrusion detection

    Yu Wang;Weizhi Meng;Wenjuan Li;Jin Li

  • Detection of multiple-mix-attack malicious nodes using perceptron-based trust in IoT networks

    Liang Liu;Zuchao Ma;Weizhi Meng

  • Adaptive machine learning-based alarm reduction via edge computing for distributed intrusion detection systems

    Yu Wang;Weizhi Meng;Wenjuan Li;Wenjuan Li;Zhe Liu

  • A bayesian inference-based detection mechanism to defend medical smartphone networks against insider attacks

    Weizhi Meng;Wenjuan Li;Yang Xiang;Kim-Kwang Raymond Choo

  • TouchWB: touch behavioral user authentication based on web browsing on smartphones

    Weizhi Meng;Yu Wang;Duncan S. Wong;Sheng Wen

  • Detecting insider attacks in medical cyber–physical networks based on behavioral profiling

    Weizhi Meng;Wenjuan Li;Yu Wang;Man Ho Au

Frequent Co-Authors

Jianying Zhou
Jianying Zhou Singapore University of Technology and Design
Steven Furnell
Steven Furnell University of Nottingham
Man Ho Au
Man Ho Au Hong Kong Polytechnic University
Jin Li
Jin Li Chinese Academy of Sciences
Yang Xiang
Yang Xiang Swinburne University of Technology
Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Duncan S. Wong
Duncan S. Wong City University of Hong Kong
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
Rongxing Lu
Rongxing Lu Queen's University
Horace H. S. Ip
Horace H. S. Ip City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens a world of flexible career opportunities. For those seeking rapid entry into the workforce, consider quick degrees that pay well. These programs often focus on technical and IT roles, streamlining your path to competitive salaries with less time investment.

Artificial Intelligence is a high-demand area within Computer Science. Pursuing an ai degree online can help you access specialized knowledge in machine learning, data science, and automation—all from the comfort of your home.

Deciding on the right specialization is crucial. Review the best college majors for the future to ensure your degree aligns with industry needs and future job growth. Computer Science consistently ranks among the top choices for innovation and stability.

For those considering postgraduate studies, there are options among the masters degrees that balance academic rigor with accessibility. These programs can further enhance your skills and qualifications, boosting your career trajectory.

Best Scientists Citing Weizhi Meng

Trending Scientists