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Computer Science

D-Index
45
Citations
11924
World Ranking
7054
National Ranking
3096

Overview

Karl N. Levitt is a researcher affiliated with the University of California, Davis, United States. Their work primarily falls within the field of Computer Science, with a focus on specialized areas such as Artificial Intelligence and Information Systems.

The scientist's research encompasses key topics including:

  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Digital and Cyber Forensics

Levitt has published work in recognized venues, notably the arXiv preprint repository hosted by Cornell University.

Notable recent publication includes:

  • "Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles," published in 2022 in arXiv (Cornell University)

Their collaborative network involves several frequent co-authors, including:

  • Nidhi Rastogi
  • Sara Rampazzi
  • Michael Clifford
  • Miriam Heller
  • Matthew Bishop

These collaborations suggest a multidisciplinary approach, intersecting machine learning defenses and cybersecurity applications, especially in the context of autonomous vehicle technology.

Best Publications

  • Network intrusion detection

    B. Mukherjee;L.T. Heberlein;K.N. Levitt

  • SIFT: Design and analysis of a fault-tolerant computer for aircraft control

    J.H. Wensley;L. Lamport;J. Goldberg;M.W. Green

  • DIDS (distributed intrusion detection system)—motivation, architecture, and an early prototype

    Steven R. Snapp;James Brentano;Gihan V. Dias;Terrance L. Goan

  • SELECT—a formal system for testing and debugging programs by symbolic execution

    Robert S. Boyer;Bernard Elspas;Karl N. Levitt

  • A requires/provides model for computer attacks

    Steven J. Templeton;Karl Levitt

  • A network security monitor

    L.T. Heberlein;G.V. Dias;K.N. Levitt;B. Mukherjee

  • Execution monitoring of security-critical programs in distributed systems: a specification-based approach

    C. Ko;M. Ruschitzka;K. Levitt

  • Security vulnerabilities of connected vehicle streams and their impact on cooperative driving

    Mani Amoozadeh;Arun Raghuramu;Chen-nee Chuah;Dipak Ghosal

  • A specification-based intrusion detection system for AODV

    Chin-Yang Tseng;Poornima Balasubramanyam;Calvin Ko;Rattapon Limprasittiporn

  • Automated detection of vulnerabilities in privileged programs by execution monitoring

    C. Ko;G. Fink;K. Levitt

  • Cooperative response strategies for large scale attack mitigation

    D. Nojiri;J. Rowe;K. Levitt

  • DEMIDS: a misuse detection system for database systems

    Christina Yip Chung;Michael Gertz;Karl Levitt

  • Using specification-based intrusion detection for Automated response

    Ivan Balepin;Sergei Maltsev;Jeff Rowe;Karl Levitt

  • Using specification-based intrusion detection for Automated response

    Ivan Balepin;Sergei Maltsev;Jeff Rowe;Karl N. Levitt

  • A general cooperative intrusion detection architecture for MANETs

    Unknown

  • An Assessment of Techniques for Proving Program Correctness

    Bernard Elspas;Karl N. Levitt;Richard J. Waldinger;Abraham Waksman

  • Cellular Interconnection Arrays

    W.H. Kautz;K.N. Levitt;A. Waksman

  • Refereed paper: MCF: a malicious code filter

    Raymond W. Lo;Karl N. Levitt;Ronald A. Olsson

  • Protecting routing infrastructures from denial of service using cooperative intrusion detection

    Steven Cheung;Karl N. Levitt

  • Is Anybody Home? Inferring Activity From Smart Home Network Traffic

    Bogdan Copos;Karl Levitt;Matt Bishop;Jeff Rowe

  • The Design of GrIDS: A Graph-Based Intrusion Detection System

    Steven Cheung;Rick Crawford;Mark Dilger;Jeremy Frank

  • Proof techniques for hierarchically structured programs

    Lawrence Robinson;Karl N. Levitt

  • Network Intrusion Detection Intrusion detection is a new, retrofit approach for providing a sense of security in existing computers and data networks, while allowing them to operate in their current "open" mode.

    Biswanath Mukherjee;L. Todd Heberlein;Karl N. Levitt

  • SIFT - Design and analysis of a fault-tolerant computer for aircraft control. [Software Implemented Fault Tolerant systems]

    J. H. Wensley;L. Lamport;J. Goldberg;M. W. Green

Frequent Co-Authors

Biswanath Mukherjee
Biswanath Mukherjee University of California, Davis
Matt Bishop
Matt Bishop University of California, Davis
George Kesidis
George Kesidis Pennsylvania State University
Simon Parsons
Simon Parsons University of Lincoln
Anna Scaglione
Anna Scaglione Cornell University
Michael Gertz
Michael Gertz Heidelberg University
Srikanth V. Krishnamurthy
Srikanth V. Krishnamurthy University of California, Riverside
Munindar P. Singh
Munindar P. Singh North Carolina State University
Patrick McDaniel
Patrick McDaniel University of Wisconsin–Madison
Ananthram Swami
Ananthram Swami United States Army Research Laboratory

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