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Hervé Debar

Hervé Debar

D-Index & Metrics

Computer Science

D-Index
42
Citations
10398
World Ranking
8230
National Ranking
188

Overview

Hervé Debar is affiliated with Télécom SudParis in France and has contributed extensively to the field of computer science, particularly in information and cyber security. Their research covers a range of topics including supply chain resilience and risk management, advanced malware detection techniques, internet traffic analysis, secure electronic voting, cybercrime and law enforcement studies, software testing and debugging techniques, and topic modeling.

The main research areas of Hervé Debar consist of:

  • Information and Cyber Security
  • Supply Chain Resilience and Risk Management
  • Advanced Malware Detection Techniques
  • Internet Traffic Analysis and Secure E-voting
  • Cybercrime and Law Enforcement Studies
  • Software Testing and Debugging Techniques
  • Topic Modeling

Hervé Debar's scholarly work has appeared in multiple publication venues, reflecting a varied research portfolio. These venues include:

  • International Journal of Information Security
  • arXiv (Cornell University)
  • 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • Research Square (Research Square)
  • SSRN Electronic Journal

Recent papers authored or co-authored by Hervé Debar include:

  • "RAMA: a risk assessment solution for healthcare organizations", 2024, International Journal of Information Security
  • "CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description", 2021, arXiv (Cornell University)
  • "CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description", 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • "RAMA: A risk assessment solution for healthcare organizations", 2023, Research Square (Research Square)
  • "A Refined and Generic Framework for Adaptive Learning", 2025, SSRN Electronic Journal

Hervé Debar has collaborated regularly with several researchers, indicating ongoing partnerships in their research endeavors. Frequent co-authors include:

  • Joaquin García-Alfaro
  • Shujun Li
  • Radha Poovendran
  • Moti Yung
  • Michail Smyrlis

In addition to journal and conference papers, Hervé Debar has contributed to book publications with the Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, including multiple editions of "Security and Privacy in Communication Networks" published in 2021.

The scientist's subfields of study reflect a blend of technical and management disciplines, involving:

  • Information Systems
  • Artificial Intelligence
  • Strategy and Management
  • Signal Processing
  • General Health Professions

Best Publications

  • A revised taxonomy for intrusion-detection systems

    Hervé Debar;Marc Dacier;Andreas Wespi

  • Towards a taxonomy of intrusion-detection systems

    Hervé Debar;Marc Dacier;Andreas Wespi

  • Aggregation and Correlation of Intrusion-Detection Alerts

    Hervé Debar;Andreas Wespi

  • A neural network component for an intrusion detection system

    H. Debar;M. Becker;D. Siboni

  • The Intrusion Detection Message Exchange Format (IDMEF)

    Herve Debar;David A. Curry;Benjamin S. Feinstein

  • M2D2: a formal data model for IDS alert correlation

    Benjamin Morin;Ludovic Mé;Hervé Debar;Mireille Ducassé

  • Intrusion Detection Using Variable-Length Audit Trail Patterns

    Andreas Wespi;Marc Dacier;Hervé Debar

  • Behavioral detection of malware: from a survey towards an established taxonomy

    Grégoire Jacob;Hervé Debar;Eric Filiol

  • Correlation of intrusion symptoms: An application of chronicles

    Benjamin Morin;Hervé Debar

  • IoT Devices Recognition Through Network Traffic Analysis

    Mustafizur R. Shahid;Gregory Blanc;Zonghua Zhang;Herve Debar

  • A serial combination of anomaly and misuse IDSes applied to HTTP traffic

    E. Tombini;H. Debar;L. Me;M. Ducasse

  • A service dependency model for cost-sensitive intrusion response

    Nizar Kheir;Nora Cuppens-Boulahia;Frédéric Cuppens;Hervé Debar

  • Method, apparatus, and program for associating related heterogeneous events in an event handler

    Steven Black;Herve Debar;John Michael Garrison;Andreas Wespi

  • A logic-based model to support alert correlation in intrusion detection

    Benjamin Morin;Ludovic Mé;Hervé Debar;Mireille Ducassé

  • A Lightweight Tool for Detecting Web Server Attacks.

    Magnus Almgren;Hervé Debar;Marc Dacier

  • An application of a recurrent network to an intrusion detection system

    H. Debar;B. Dorizzi

  • Processing intrusion detection alert aggregates with time series modeling

    Jouni Viinikka;Hervé Debar;Ludovic Mé;Anssi Lehikoinen

  • Towards Autonomic DDoS Mitigation using Software Defined Networking

    Rishikesh Sahay;Gregory Blanc;Zonghua Zhang;Zonghua Zhang;Herve Debar

  • An Intrusion-Detection System Based on the Teiresias Pattern- Discovery Algorithm

    Andreas Wespi;Marc Dacier;Hervé Debar

  • Hierarchical correlation of intrusion detection events

    Steven Black;Herve Debar;John Michael Garrison;Andreas Wespi

  • Intrusion detection: introduction to intrusion detection and security information management

    Hervé Debar;Jouni Viinikka

Frequent Co-Authors

Frédéric Cuppens
Frédéric Cuppens Polytechnique Montréal
Marc Dacier
Marc Dacier King Abdullah University of Science and Technology
Nadarajah Asokan
Nadarajah Asokan University of Waterloo
Michael Waidner
Michael Waidner Technical University of Darmstadt
Michael Steiner
Michael Steiner Intel (United States)
Isidore Rigoutsos
Isidore Rigoutsos Thomas Jefferson University
Konrad Rieck
Konrad Rieck Technische Universität Braunschweig
Richard A. Kemmerer
Richard A. Kemmerer University of California, Santa Barbara
Christopher Kruegel
Christopher Kruegel University of California, Santa Barbara
Engin Kirda
Engin Kirda Northeastern University

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