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D-Index & Metrics

Computer Science

D-Index
35
Citations
5528
World Ranking
11661
National Ranking
14

Overview

Radu State is affiliated with the University of Luxembourg in Luxembourg and has a research focus primarily in the field of Computer Science. Their work spans various subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing, and Computer Vision and Pattern Recognition.

Their research topics cover several key areas such as Blockchain Technology Applications and Security, Network Security and Intrusion Detection, Advanced Malware Detection Techniques, Internet Traffic Analysis and Secure E-voting, Spam and Phishing Detection, Privacy-Preserving Technologies in Data, and Peer-to-Peer Network Technologies.

Radu State has contributed to multiple publications, with recent works including:

  • "Tokenization of sukuk: Ethereum case study" (2020), published in the Global Finance Journal
  • "Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain" (2021), published by arXiv (Cornell University)
  • "A review on graph-based approaches for network security monitoring and botnet detection" (2023), published in the International Journal of Information Security
  • "A recommendation system for car insurance" (2020), published in the European Actuarial Journal
  • "Hawkes Processes Framework With a Gamma Density As Excitation Function: Application to Natural Disasters for Insurance" (2022), published in Methodology And Computing In Applied Probability

Their collaborative network includes frequent co-authors such as Christof Ferreira Torres, Antonio Ken Iannillo, Wazen M. Shbair, Arthur Gervais, and Farouk Damoun.

The majority of their publications appear in venues including:

  • arXiv (Cornell University)
  • 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
  • Lecture Notes in Computer Science
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal

Best Publications

  • Osiris: Hunting for Integer Bugs in Ethereum Smart Contracts

    Christof Ferreira Torres;Julian Schütte;Radu State

  • Blockchain-Based, Decentralized Access Control for IPFS

    Mathis Steichen;Beltran Fiz;Robert Norvill;Wazen Shbair

  • PhishStorm: Detecting Phishing With Streaming Analytics

    Samuel Marchal;Jérôme François;Radu State;Thomas Engel

  • A blockchain-based PKI management framework

    Alexander Yakubov;Wazen M. Shbair;Anders Wallbom;David Sanda

  • A Big Data Architecture for Large Scale Security Monitoring

    Samuel Marchal;Xiuyan Jiang;Radu State;Thomas Engel

  • BotTrack: tracking botnets using NetFlow and PageRank

    Jérôme François;Shaonan Wang;Radu State;Thomas Engel

  • Empirical assessment of machine learning-based malware detectors for Android

    Kevin Allix;Tegawendé F. Bissyandé;Quentin Jérome;Jacques Klein

  • Malware behaviour analysis

    Gérard Wagener;Radu State;Alexandre Dulaunoy

  • The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey

    Patrick O. Glauner;Jorge Augusto Meira;Petko Valtchev;Radu State

  • ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts

    Christof Ferreira Torres;Antonio Ken Iannillo;Arthur Gervais;Radu State

  • BotCloud: Detecting botnets using MapReduce

    Jerome Francois;Shaonan Wang;Walter Bronzi;Radu State

  • The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey

    Patrick Glauner;Jorge Augusto Meira;Petko Valtchev;Radu State

  • KiF: a stateful SIP fuzzer

    Humberto J. Abdelnur;Radu State;Olivier Festor

  • A flash(bot) in the pan: measuring maximal extractable value in private pools

    Unknown

  • The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

    Christof Ferreira Torres;Mathis Steichen;Radu State

  • Monitoring SIP Traffic Using Support Vector Machines

    Mohamed Nassar;Radu State;Olivier Festor

  • Large-scale detection of non-technical losses in imbalanced data sets

    Patrick Glauner;Andre Boechat;Lautaro Dolberg;Radu State

  • Using opcode-sequences to detect malicious Android applications

    Quentin Jerome;Kevin Allix;Radu State;Thomas Engel

  • Machine learning approach for IP-flow record anomaly detection

    Cynthia Wagner;Jérôme François;Radu State;Thomas Engel

  • Holistic VoIP intrusion detection and prevention system

    Mohamed Nassar;Saverio Niccolini;Radu State;Thilo Ewald

  • A Forensic Analysis of Android Malware -- How is Malware Written and How it Could Be Detected?

    Kevin Allix;Quentin Jerome;Tegawendé F. Bissyandé;Jacques Klein

  • Self Adaptive High Interaction Honeypots Driven by Game Theory

    Gérard Wagener;Radu State;Alexandre Dulaunoy;Thomas Engel

  • ChainGuard — A firewall for blockchain applications using SDN with OpenFlow

    Mathis Steichen;Stefan Hommes;Radu State

  • Generating Multi-Categorical Samples with Generative Adversarial Networks

    Ramiro Daniel Camino;Christian Hammerschmidt;Radu State

Frequent Co-Authors

Thomas Engel
Thomas Engel University of Luxembourg
George Pavlou
George Pavlou University College London
Aiko Pras
Aiko Pras University of Twente
Joan Serrat
Joan Serrat Universitat Politècnica de Catalunya
Cristina Nita-Rotaru
Cristina Nita-Rotaru Northeastern University
Burkhard Stiller
Burkhard Stiller University of Zurich
Henning Schulzrinne
Henning Schulzrinne Columbia University
Tegawendé F. Bissyandé
Tegawendé F. Bissyandé University of Luxembourg
Yves Le Traon
Yves Le Traon University of Luxembourg
Jacques Klein
Jacques Klein University of Luxembourg

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