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Computer Science

D-Index
105
Citations
41726
World Ranking
289
National Ranking
157

Overview

Christopher Kruegel is affiliated with the University of California, Santa Barbara in the United States. Their research focuses primarily on computer science with an emphasis on security-related topics.

The main fields of study for their publications are in computer science, spanning 56 papers. Subfields prominently include artificial intelligence, information systems, signal processing, computer networks and communications, and finance.

Key topics covered in their research consist of:

  • Advanced Malware Detection Techniques
  • Blockchain Technology Applications and Security
  • Security and Verification in Computing
  • Network Security and Intrusion Detection
  • Digital and Cyber Forensics
  • Software Testing and Debugging Techniques
  • Art History and Market Analysis

Recent papers authored by Christopher Kruegel or in collaboration include:

  • "Understanding Security Issues in the NFT Ecosystem," 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • "SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds," 2022, 2022 IEEE Symposium on Security and Privacy (SP)
  • "DEEPCASE: Semi-Supervised Contextual Analysis of Security Events," 2022, 2022 IEEE Symposium on Security and Privacy (SP)
  • "SYMBEXCEL: Automated Analysis and Understanding of Malicious Excel 4.0 Macros," 2022, 2022 IEEE Symposium on Security and Privacy (SP)
  • "One Size Does Not Fit All," 2021, ACM Transactions on Privacy and Security

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • 2022 IEEE Symposium on Security and Privacy (SP)
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Christopher Kruegel collaborates regularly with several co-authors, including:

  • Giovanni Vigna
  • Dipanjan Das
  • Priyanka Bose
  • Nicola Ruaro
  • Hojjat Aghakhani

Best Publications

  • A survey on automated dynamic malware-analysis techniques and tools

    Manuel Egele;Theodoor Scholte;Engin Kirda;Christopher Kruegel

  • Limits of Static Analysis for Malware Detection

    A. Moser;C. Kruegel;E. Kirda

  • SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis

    Yan Shoshitaishvili;Ruoyu Wang;Christopher Salls;Nick Stephens

  • Panorama: capturing system-wide information flow for malware detection and analysis

    Heng Yin;Dawn Song;Manuel Egele;Christopher Kruegel

  • Detecting spammers on social networks

    Gianluca Stringhini;Christopher Kruegel;Giovanni Vigna

  • Driller: Augmenting Fuzzing Through Selective Symbolic Execution.

    Nick Stephens;John Grosen;Christopher Salls;Andrew Dutcher

  • Pixy: a static analysis tool for detecting Web application vulnerabilities

    N. Jovanovic;C. Kruegel;E. Kirda

  • Anomaly detection of web-based attacks

    Christopher Kruegel;Giovanni Vigna

  • Your botnet is my botnet: analysis of a botnet takeover

    Brett Stone-Gross;Marco Cova;Lorenzo Cavallaro;Bob Gilbert

  • Detection and analysis of drive-by-download attacks and malicious JavaScript code

    Marco Cova;Christopher Kruegel;Giovanni Vigna

  • Polymorphic worm detection using structural information of executables

    Christopher Kruegel;Engin Kirda;Darren Mutz;William Robertson

  • Exploring Multiple Execution Paths for Malware Analysis

    A. Moser;C. Kruegel;E. Kirda

  • Comprehensive approach to intrusion detection alert correlation

    F. Valeur;G. Vigna;C. Kruegel;R.A. Kemmerer

  • Effective and efficient malware detection at the end host

    Clemens Kolbitsch;Paolo Milani Comparetti;Christopher Kruegel;Engin Kirda

  • Mining specifications of malicious behavior

    Mihai Christodorescu;Somesh Jha;Christopher Kruegel

  • Cookieless Monster: Exploring the Ecosystem of Web-Based Device Fingerprinting

    N. Nikiforakis;A. Kapravelos;W. Joosen;C. Kruegel

  • An empirical study of cryptographic misuse in android applications

    Manuel Egele;David Brumley;Yanick Fratantonio;Christopher Kruegel

  • Bayesian event classification for intrusion detection

    C. Kruegel;D. Mutz;W. Robertson;F. Valeur

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

    Edgar Weippl;Stefan Katzenbeisser;Christopher Kruegel;Andrew Myers

  • Saner: Composing Static and Dynamic Analysis to Validate Sanitization in Web Applications

    D. Balzarotti;M. Cova;V. Felmetsger;N. Jovanovic

  • A Practical Attack to De-anonymize Social Network Users

    Gilbert Wondracek;Thorsten Holz;Engin Kirda;Christopher Kruegel

Frequent Co-Authors

Giovanni Vigna
Giovanni Vigna University of California, Santa Barbara
Engin Kirda
Engin Kirda Northeastern University
Manuel Egele
Manuel Egele Boston University
Richard A. Kemmerer
Richard A. Kemmerer University of California, Santa Barbara
William Robertson
William Robertson Northeastern University
Gianluca Stringhini
Gianluca Stringhini Boston University
Thorsten Holz
Thorsten Holz Max Planck Institute for Security and Privacy
Falko Dressler
Falko Dressler Technical University of Berlin
Federico Maggi
Federico Maggi University of Sydney

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