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Computer Science

D-Index
31
Citations
7034
World Ranking
13390
National Ranking
49

Overview

Marc Dacier is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research primarily focuses on computer science, with a concentration on subfields such as computer networks and communications, information systems, artificial intelligence, signal processing, and software.

The main topics covered in Dacier's work include:

  • Network Security and Intrusion Detection
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Malware Detection Techniques
  • Spam and Phishing Detection
  • Security and Verification in Computing
  • User Authentication and Security Systems
  • Network Traffic and Congestion Control

The scientist has contributed to several peer-reviewed papers, highlighting diverse aspects of cybersecurity and network research. Some notable publications are:

  • Scraping Airlines Bots: Insights Obtained Studying Honeypot Data, 2021, International Journal of Cyber Forensics and Advanced Threat Investigations
  • <i>Inmap-t</i>: Leveraging TTCN-3 to Test the Security Impact of Intra Network Elements, 2021, Journal of Computer and Communications
  • NoPASARAN: a Novel Platform for Analysing Semi-Active elements in Routes Across a Network, 2022, Applied Cybersecurity & Internet Governance
  • ENDEMIC: End-to-End Network Disruptions - Examining Middleboxes, Issues, and Countermeasures - A Survey, 2025, ACM Computing Surveys
  • WPAD: Waiting Patiently for an Announced Disaster, 2022, ACM Computing Surveys

Dacier collaborates frequently with several researchers, including:

  • Elisa Chiapponi
  • Olivier Thonnard
  • Iliès Benhabbour
  • Onur Catakoglu
  • Massimiliano Todisco

Publishing venues where Marc Dacier's research appears recurrently include:

  • ACM Computing Surveys
  • International Journal of Cyber Forensics and Advanced Threat Investigations
  • Journal of Computer and Communications
  • Applied Cybersecurity & Internet Governance
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft)

The research spread across multiple subfields of computer science gives insight into a broad and multidisciplinary approach to cybersecurity challenges, network infrastructure, and system verification. No specific awards or book publications are noted in the available data.

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

  • Mining intrusion detection alarms for actionable knowledge

    Klaus Julisch;Marc Dacier

  • Intrusion Detection Using Variable-Length Audit Trail Patterns

    Andreas Wespi;Marc Dacier;Hervé Debar

  • ScriptGen: an automated script generation tool for Honeyd

    C. Leita;K. Mermoud;M. Dacier

  • Method, computer program element and a system for processing alarms triggered by a monitoring system

    Marc Dacier;Klaus Julisch

  • A Survey on Malicious Domains Detection through DNS Data Analysis

    Yury Zhauniarovich;Issa Khalil;Ting Yu;Marc Dacier

  • Cyber SA : situational awareness for cyber defense

    Paul Barford;Marc Dacier;Thomas G. Dietterich;Matt Fredrikson

  • Quantitative Assessment of Operational Security: Models and Tools *

    Marc Dacier;Yves Deswarte Mohamed Kaâniche

  • Privilege Graph: an Extension to the Typed Access Matrix Model

    Marc Dacier;Yves Deswarte

  • Lessons learned from the deployment of a high-interaction honeypot

    E. Alata;V. Nicomette;M. Kaaniche;M. Dacier

  • Circuit fingerprinting attacks: passive deanonymization of tor hidden services

    Albert Kwon;Mashael AlSabah;David Lazar;Marc Dacier

  • A Lightweight Tool for Detecting Web Server Attacks.

    Magnus Almgren;Hervé Debar;Marc Dacier

  • A framework for attack patterns' discovery in honeynet data

    Olivier Thonnard;Marc Dacier

  • Automatic handling of protocol dependencies and reaction to 0-day attacks with scriptgen based honeypots

    Corrado Leita;Marc Dacier;Frederic Massicotte

  • Models and tools for quantitative assessment of operational security

    M. Dacier;Y. Deswarte;M. Kaâniche

  • Security Challenges and Opportunities of Software-Defined Networking

    Marc C. Dacier;Hartmut Konig;Radoslaw Cwalinski;Frank Kargl

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

    Andreas Wespi;Marc Dacier;Hervé Debar

  • Mining intrusion detection alarms for actionable knowledge

    Unknown

  • Fixed vs. Variable-Length Patterns for Detecting Suspicious Process Behavior

    Hervé Debar;Marc Dacier;Mehdi Nassehi;Andreas Wespi

  • SGNET: A Worldwide Deployable Framework to Support the Analysis of Malware Threat Models

    C. Leita;M. Dacier

Frequent Co-Authors

Hervé Debar
Hervé Debar Télécom SudParis
Christian Cachin
Christian Cachin University of Bern
Brian Randell
Brian Randell Newcastle University
Frank Kargl
Frank Kargl University of Ulm
Paulo Veríssimo
Paulo Veríssimo King Abdullah University of Science and Technology
Birgit Pfitzmann
Birgit Pfitzmann IBM (United States)
Angelos D. Keromytis
Angelos D. Keromytis Georgia Institute of Technology
Engin Kirda
Engin Kirda Northeastern University
Michael Waidner
Michael Waidner Technical University of Darmstadt
Isidore Rigoutsos
Isidore Rigoutsos Thomas Jefferson University

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