World's Best Scientists 2026 revealed!
Benjamin C. M. Fung

Benjamin C. M. Fung

D-Index & Metrics

Computer Science

D-Index
55
Citations
15615
World Ranking
4229
National Ranking
166

Research.com Recognitions

  • 2013 - ACM Senior Member

Overview

Benjamin C. M. Fung is affiliated with McGill University in Canada. Their primary research focus lies in the domain of Computer Science, with a total of 150 publications. Within this broad field, their work addresses several subfields including Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

The scientist's research covers a diverse range of topics that intersect with cybersecurity, data analysis, and machine learning. Key areas include Advanced Malware Detection Techniques, Authorship Attribution and Profiling, Anomaly Detection Techniques and Applications, Hate Speech and Cyberbullying Detection, Spam and Phishing Detection, Network Security and Intrusion Detection, and Topic Modeling.

Frequently coauthoring with several researchers, their main collaborators are:

  • Farkhund Iqbal (20 publications)
  • Miles Q. Li (15 publications)
  • Mourad Debbabi (12 publications)
  • Philippe Charland (11 publications)
  • Adel Abusitta (8 publications)

The scientist has been published repeatedly in certain venues with which they maintain a consistent relationship. The most frequent publication venues include:

  • arXiv (Cornell University) - 9 publications
  • SSRN Electronic Journal - 7 publications
  • IEEE Access - 5 publications
  • Energy and Buildings - 3 publications
  • Journal of Information Security and Applications - 2 publications

Among their recent publications are:

  • "A review of the-state-of-the-art in data-driven approaches for building energy prediction," 2020, Energy and Buildings
  • "Deep learning-enabled anomaly detection for IoT systems," 2022, Internet of Things
  • "Malware classification and composition analysis: A survey of recent developments," 2021, Journal of Information Security and Applications
  • "The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions," 2023, IEEE Access
  • "Young Chinese Consumers' Choice between Product-Related and Sustainable Cues-The Effects of Gender Differences and Consumer Innovativeness," 2020, Sustainability

In addition to journal articles, Benjamin C. M. Fung has contributed to academic books. One notable publication is "Machine Learning for Authorship Attribution and Cyber Forensics," published in 2020 by Springer International Publishing.

The scientist has been recognized by professional societies, being awarded the ACM Senior Member distinction in 2013.

Best Publications

  • Privacy-preserving data publishing: A survey of recent developments

    Benjamin C. M. Fung;Ke Wang;Rui Chen;Philip S. Yu

  • Top-down specialization for information and privacy preservation

    B.C.M. Fung;K. Wang;P.S. Yu

  • A systematic procedure to study the influence of occupant behavior on building energy consumption

    Zhun Yu;Benjamin C.M. Fung;Fariborz Haghighat;Hiroshi Yoshino

  • A decision tree method for building energy demand modeling

    Zhun Yu;Fariborz Haghighat;Benjamin C.M. Fung;Hiroshi Yoshino

  • Hierarchical Document Clustering Using Frequent Itemsets

    Benjamin Chin Ming Fung

  • Anonymizing Classification Data for Privacy Preservation

    B.C.M. Fung;K. Wang;P.S. Yu

  • Differentially private data release for data mining

    Noman Mohammed;Rui Chen;Benjamin C.M. Fung;Philip S. Yu

  • A review of the-state-of-the-art in data-driven approaches for building energy prediction

    Ying Sun;Fariborz Haghighat;Benjamin C.M. Fung

  • Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization

    Steven H. H. Ding;Benjamin C. M. Fung;Philippe Charland

  • Security and privacy challenges in smart cities

    Trevor Braun;Benjamin C.M. Fung;Farkhund Iqbal;Babar Shah

  • Anonymizing sequential releases

    Ke Wang;Benjamin C. M. Fung

  • Differentially private transit data publication: a case study on the montreal transportation system

    Rui Chen;Benjamin C.M. Fung;Bipin C. Desai;Nériah M. Sossou

  • Privacy-preserving trajectory data publishing by local suppression

    Rui Chen;Benjamin C. M. Fung;Noman Mohammed;Bipin C. Desai

  • Publishing set-valued data via differential privacy

    Rui Chen;Noman Mohammed;Benjamin C. M. Fung;Bipin C. Desai

  • Correlated network data publication via differential privacy

    Rui Chen;Benjamin C. Fung;Philip S. Yu;Bipin C. Desai

  • Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques

    Benjamin C.M. Fung;Ke Wang;Ada Wai-Chee Fu;Philip S. Yu

  • Detecting breaking news rumors of emerging topics in social media

    Sarah A. Alkhodair;Steven H.H. Ding;Benjamin C.M. Fung;Junqiang Liu

  • Centralized and Distributed Anonymization for High-Dimensional Healthcare Data

    Noman Mohammed;Benjamin C. M. Fung;Patrick C. K. Hung;Cheuk-Kwong Lee

  • Mining writeprints from anonymous e-mails for forensic investigation

    Farkhund Iqbal;Hamad Binsalleeh;Benjamin C. M. Fung;Mourad Debbabi

  • Direct Discovery of High Utility Itemsets without Candidate Generation

    Junqiang Liu;Ke Wang;Benjamin C.M. Fung

  • Handicapping attacker's confidence: an alternative to k -anonymization

    Ke Wang;Benjamin C. M. Fung;Philip S. Yu

Frequent Co-Authors

Ke Wang
Ke Wang Simon Fraser University
Mourad Debbabi
Mourad Debbabi Concordia University
Patrick C. K. Hung
Patrick C. K. Hung University of Ontario Institute of Technology
Fariborz Haghighat
Fariborz Haghighat Concordia University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Li Xiong
Li Xiong Emory University
Ada Wai-Chee Fu
Ada Wai-Chee Fu Chinese University of Hong Kong
Foutse Khomh
Foutse Khomh Polytechnique Montréal
Shih-Chia Huang
Shih-Chia Huang National Taipei University of Technology
Lingyu Wang
Lingyu Wang Concordia University

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