Anomaly Detection at Multiple Scales (ADAMS)

Abstract

The Anomaly Detection at Multiple Scales (ADAMS) program developed and applied algorithms for detecting anomalous, threat-related behavior of systems, individuals, and groups over hours, days, months, and years. ADAMS developed flexible, scalable, and highly interactive approaches to extracting actionable information from information system log files, sensors, and other instrumentation. ADAMS integrated these anomaly detection algorithms to produce adaptable systems for timely insider threat detection.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2017
Source ID
6ba3d0c07131969297a678749262fde7

Tags

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Cybersecurity.
  • Neural Network Machine Learning.

Related Documents