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Mourad Debbabi

Mourad Debbabi

D-Index & Metrics

Computer Science

D-Index
50
Citations
10250
World Ranking
5612
National Ranking
214

Overview

Mourad Debbabi is affiliated with Concordia University in Canada, contributing extensively to the fields of Computer Science and Engineering. Their research output spans core areas such as Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing, and Control and Systems Engineering.

They have authored numerous papers addressing key topics including Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Smart Grid Security and Resilience, Digital and Cyber Forensics, Spam and Phishing Detection, Authorship Attribution and Profiling, and Software Engineering Research.

Selected recent publications include:

  • "Electric vehicle attack impact on power grid operation" (2021), International Journal of Electrical Power & Energy Systems
  • "Security of Wide-Area Monitoring, Protection, and Control (WAMPAC) Systems of the Smart Grid: A Survey on Challenges and Opportunities" (2023), IEEE Communications Surveys & Tutorials
  • "Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection" (2022), Computers & Security
  • "A Survey on Threat Hunting in Enterprise Networks" (2023), IEEE Communications Surveys & Tutorials
  • "Detection and Mitigation of Cyber Attacks on Voltage Stability Monitoring of Smart Grids" (2020), IEEE Transactions on Smart Grid

Their collaboration network includes frequent co-authors such as Lingyu Wang, Djedjiga Mouheb, Mohsen Ghafouri, ElMouatez Billah Karbab, and Chadi Assi, each contributing to a significant number of joint works.

Mourad Debbabi has also contributed to academic publishing through books released primarily by Springer Nature and Springer International Publishing, with titles including "Android Malware Detection using Machine Learning" (2021), "Binary Code Fingerprinting for Cybersecurity" (2020), and "Machine Learning for Authorship Attribution and Cyber Forensics" (2020).

The venues most commonly associated with their work include arXiv (Cornell University), IEEE Transactions on Dependable and Secure Computing, Computers & Security, IEEE Transactions on Smart Grid, and Applied Energy, reflecting a focus on both foundational and applied research in cybersecurity and smart grid technologies.

Best Publications

  • A Survey and a Layered Taxonomy of Software-Defined Networking

    Yosr Jarraya;Taous Madi;Mourad Debbabi

  • MalDozer: Automatic framework for android malware detection using deep learning

    ElMouatez Billah Karbab;Mourad Debbabi;Abdelouahid Derhab;Djedjiga Mouheb

  • On the analysis of the Zeus botnet crimeware toolkit

    H. Binsalleeh;T. Ormerod;A. Boukhtouta;P. Sinha

  • Static Detection of Malicious Code in Executable Programs

    J. Bergeron;M. Debbabi;J. Desharnais;M. M. Erhioui

  • Communication security for smart grid distribution networks

    E. Bou-Harb;C. Fachkha;M. Pourzandi;M. Debbabi

  • Mining writeprints from anonymous e-mails for forensic investigation

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

  • Cyber Scanning: A Comprehensive Survey

    Elias Bou-Harb;Mourad Debbabi;Chadi Assi

  • Systems Modeling Language

    Mourad Debbabi;Fawzi Hassaïne;Yosr Jarraya;Andrei Soeanu

  • Mechanism Design-Based Secure Leader Election Model for Intrusion Detection in MANET

    Noman Mohammed;Hadi Otrok;Lingyu Wang;Mourad Debbabi

  • A novel approach of mining write-prints for authorship attribution in e-mail forensics

    Farkhund Iqbal;Rachid Hadjidj;Benjamin C. M. Fung;Mourad Debbabi

  • Darknet as a Source of Cyber Intelligence: Survey, Taxonomy, and Characterization

    Claude Fachkha;Mourad Debbabi

  • Towards an integrated e-mail forensic analysis framework

    Rachid Hadjidj;Mourad Debbabi;Hakim Lounis;Farkhund Iqbal

  • A unified data mining solution for authorship analysis in anonymous textual communications

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

  • Electric vehicle attack impact on power grid operation

    Mohammad Ali Sayed;Ribal Atallah;Chadi Assi;Mourad Debbabi

  • A game-theoretic intrusion detection model for mobile ad hoc networks

    Hadi Otrok;Noman Mohammed;Lingyu Wang;Mourad Debbabi

  • Verification and Validation in Systems Engineering: Assessing UML/SysML Design Models

    Mourad Debbabi;Fawzi Hassane;Yosr Jarraya;Andrei Soeanu

  • Static analysis of binary code to isolate malicious behaviors

    J. Bergeron;M. Debbabi;M.M. Erhioui;B. Ktari

  • Walking in the crowd: anonymizing trajectory data for pattern analysis

    Noman Mohammed;Benjamin C.M. Fung;Mourad Debbabi

  • Security of Wide-Area Monitoring, Protection, and Control (WAMPAC) Systems of the Smart Grid: A Survey on Challenges and Opportunities

    Unknown

  • Formal Verification and Validation of UML 2.0 Sequence Diagrams using Source and Destination of Messages

    V. Lima;C. Talhi;D. Mouheb;M. Debbabi

  • Anonymity meets game theory: secure data integration with malicious participants

    Noman Mohammed;Benjamin C. Fung;Mourad Debbabi

  • Verification, Validation, and Accreditation

    Mourad Debbabi;Fawzi Hassaïne;Yosr Jarraya;Andrei Soeanu

Frequent Co-Authors

Lingyu Wang
Lingyu Wang Concordia University
Chadi Assi
Chadi Assi Concordia University
Benjamin C. M. Fung
Benjamin C. M. Fung McGill University
Amr M. Youssef
Amr M. Youssef Concordia University
Abdelouahid Derhab
Abdelouahid Derhab King Saud University
Kui Ren
Kui Ren Zhejiang University
Abderrahim Benslimane
Abderrahim Benslimane University of Avignon
John C. Mitchell
John C. Mitchell Stanford University
Amin Hammad
Amin Hammad Concordia University
Ke Wang
Ke Wang Simon Fraser University

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