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A Review of User Account Anomaly Detection and Insider Threat Detection Techniques

  • Louisiana Tech University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original languageEnglish
Title of host publication2026 IEEE 5th International Conference on AI in Cybersecurity, ICAIC 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665477611
DOIs
StatePublished - 2026
Event5th IEEE International Conference on AI in Cybersecurity, ICAIC 2026 - Houston, United States
Duration: Feb 18 2026 → Feb 20 2026

Publication series

Series2026 IEEE 5th International Conference on AI in Cybersecurity, ICAIC 2026

Conference

Conference5th IEEE International Conference on AI in Cybersecurity, ICAIC 2026
Country/TerritoryUnited States
CityHouston
Period2/18/26 → 2/20/26

ASJC Scopus Subject Areas

  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)

Keywords

  • cybersecurity
  • Machine learning
  • supervised learning
  • unsupervised learning
  • user anomaly detection

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