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Edgar R. Weippl

Edgar R. Weippl

D-Index & Metrics

Computer Science

D-Index
44
Citations
9222
World Ranking
7513
National Ranking
64

Research.com Recognitions

  • 2008 - ACM Senior Member

Overview

Edgar R. Weippl is affiliated with the University of Vienna in Austria and has made contributions primarily in the field of computer science. Their research spans several key subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing, and intersections with Sociology and Political Science.

The scientist's work focuses on areas such as Blockchain Technology Applications and Security, Information and Cyber Security, Network Security and Intrusion Detection, Advanced Malware Detection Techniques, Internet Traffic Analysis and Secure E-voting, Adversarial Robustness in Machine Learning, and Spam and Phishing Detection.

Their recent scholarly articles include:

  • "Automated Security Risk Identification Using AutomationML-Based Engineering Data" (2020) published in IEEE Transactions on Dependable and Secure Computing
  • "QualSec: An Automated Quality-Driven Approach for Security Risk Identification in Cyber-Physical Production Systems" (2022) published in IEEE Transactions on Industrial Informatics
  • "User Mental Models of Cryptocurrency Systems - A Grounded Theory Approach" (2023) published in OPAL (Open@LaTrobe) (La Trobe University)
  • "SoK: How private is Bitcoin? Classification and Evaluation of Bitcoin Privacy Techniques" (2022) published in Proceedings of the 17th International Conference on Availability, Reliability and Security
  • "On the Usability of Authenticity Checks for Hardware Security Tokens" (2023) published in OPAL (Open@LaTrobe) (La Trobe University)

Edgar R. Weippl has collaborated frequently with several co-authors including:

  • Peter Kieseberg
  • Max Landauer
  • Florian Skopik
  • Andreas Holzinger
  • Aljosha Judmayer

They have also published books with Springer Science+Business Media, including multiple editions of "Machine Learning and Knowledge Extraction" (2020, 2021, and 2022) and "Information Systems Security and Privacy" (2022).

The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE Internet of Things Magazine, Computers & Security, SSRN Electronic Journal, and OPAL (Open@LaTrobe) (La Trobe University).

Edgar R. Weippl was recognized as an ACM Senior Member in 2008.

Best Publications

  • Advanced social engineering attacks

    Katharina Krombholz;Heidelinde Hobel;Markus Huber;Edgar Weippl

  • Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

    Edgar Weippl;Stefan Katzenbeisser;Christopher Kruegel;Andrew Myers

  • Dark clouds on the horizon: using cloud storage as attack vector and online slack space

    Martin Mulazzani;Sebastian Schrittwieser;Manuel Leithner;Markus Huber

  • QR code security

    Peter Kieseberg;Manuel Leithner;Martin Mulazzani;Lindsay Munroe

  • Protecting Software through Obfuscation: Can It Keep Pace with Progress in Code Analysis?

    Sebastian Schrittwieser;Stefan Katzenbeisser;Johannes Kinder;Georg Merzdovnik

  • Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI

    Andreas Holzinger;Andreas Holzinger;Peter Kieseberg;Edgar R. Weippl;A Min Tjoa

  • Security in E-Learning

    Edgar R. Weippl

  • Fake identities in social media: A case study on the sustainability of the Facebook business model

    Katharina Krombholz;Dieter Merkl;Edgar R. Weippl

  • A frame of reference for research of integrated governance, risk and compliance (GRC)

    Nicolas Racz;Edgar Weippl;Andreas Seufert

  • IMSI-catch me if you can: IMSI-catcher-catchers

    Adrian Dabrowski;Nicola Pianta;Thomas Klepp;Martin Mulazzani

  • The Other Side of the Coin: User Experiences with Bitcoin Security and Privacy

    Katharina Krombholz;Aljosha Judmayer;Matthias Gusenbauer;Edgar R. Weippl

  • Block Me If You Can: A Large-Scale Study of Tracker-Blocking Tools

    Georg Merzdovnik;Markus Huber;Damjan Buhov;Nick Nikiforakis

  • Security Ontologies: Improving Quantitative Risk Analysis

    A. Ekelhart;S. Fenz;M. Klemen;E. Weippl

  • Guess Who's Texting You? Evaluating the Security of Smartphone Messaging Applications.

    Sebastian Schrittwieser;Peter Frühwirt;Peter Kieseberg;Manuel Leithner

  • QR Code Security: A Survey of Attacks and Challenges for Usable Security

    Katharina Krombholz;Peter Frühwirt;Peter Kieseberg;Ioannis Kapsalis

  • Social snapshots: digital forensics for online social networks

    Markus Huber;Martin Mulazzani;Manuel Leithner;Sebastian Schrittwieser

  • On Security Research Towards Future Mobile Network Generations

    David Rupprecht;Adrian Dabrowski;Thorsten Holz;Edgar Weippl

  • Friend-in-the-Middle Attacks: Exploiting Social Networking Sites for Spam

    M Huber;M Mulazzani;E Weippl;G Kitzler

  • A Wild Velvet Fork Appears! Inclusive Blockchain Protocol Changes in Practice

    Alexei Zamyatin;Nicholas Stifter;Aljosha Judmayer;Philipp Schindler

  • Blocks and Chains: Introduction to Bitcoin, Cryptocurrencies, and Their Consensus Mechanisms

    Aljosha Judmayer;Nicholas Stifter;Katharina Krombholz;Edgar Weippl

  • Information Security Fortification by Ontological Mapping of the ISO/IEC 27001 Standard

    S. Fenz;G. Goluch;A. Ekelhart;B. Riedl

  • "I have no idea what i'm doing": on the usability of deploying HTTPS

    Katharina Krombholz;Wilfried Mayer;Martin Schmiedecker;Edgar R. Weippl

Frequent Co-Authors

Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Andreas Holzinger
Andreas Holzinger BOKU University
Mathias Payer
Mathias Payer École Polytechnique Fédérale de Lausanne
Stefan Mangard
Stefan Mangard Graz University of Technology
Michael K. Reiter
Michael K. Reiter Duke University
Ilsun You
Ilsun You Kookmin University
Sabine Graf
Sabine Graf Athabasca University
Ravi Sandhu
Ravi Sandhu The University of Texas at San Antonio
Florian Kerschbaum
Florian Kerschbaum University of Waterloo

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