Skip to main content

User account menu

  • Log in
DBS-Logo

Database Group Leipzig

within the department of computer science

ScaDS-Logo Logo of the University of Leipzig

Main navigation

  • Home
  • Study
    • Exams
      • Hinweise zu Klausuren
    • Courses
      • Current
    • Modules
    • LOTS-Training
    • Abschlussarbeiten
    • Masterstudiengang Data Science
    • Oberseminare
    • Problemseminare
    • Top-Studierende
  • Research
    • Projects
      • Benchmark datasets for entity resolution
      • FAMER
      • HyGraph
      • Privacy-Preserving Record Linkage
      • GRADOOP
    • Publications
    • Prototypes
    • Annual reports
    • Cooperations
    • Graduations
    • Colloquia
    • Conferences
  • Team
    • Erhard Rahm
    • Member
    • Former employees
    • Associated members
    • Gallery

Extended Abstract: LID-DS 2021

Breadcrumb

  • Home
  • Research
  • Publications
  • Extended Abstract: LID-DS 2021

Grimmer, M. ; Kaelble, T. ; Schulze, E. ; Rucks, T. ; Rahm, E.

Extended Abstract: LID-DS 2021

The 17th International Conference on Critical Information Infrastructures Security (CRITIS) 2022

2022 / 09

Paper

Futher information: https://critis2022.comtessa.org/program

Abstract

To advance research on system call-based HIDS, we present LID-DS 2021, a recording framework, a dataset for comparative analysis, and a library for evaluating HIDS algorithms.

Recent publications

  • 2025 / 9: Generating Semantically Enriched Mobility Data from Travel Diaries
  • 2025 / 8: Slice it up: Unmasking User Identities in Smartwatch Health Data
  • 2025 / 7: MPGT: Multimodal Physics-Constrained Graph Transformer Learning for Hybrid Digital Twins
  • 2025 / 6: Leveraging foundation models and goal-dependent annotations for automated cell confluence assessment
  • 2025 / 6: SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage

Footer menu

  • Directions
  • Contact
  • Impressum