Metrics to Characterize Temporal Patterns in Lifespans of Artifacts

Abstract

Introduction: This paper presents analysis of artifact lifespans; Based on observations over time -Presence or absence of vulnerabilities seen -Network links up or down -Servers active or idle -Seen or Unseen at t (1/0). Lifecycle Lifespan Analysis: Stochastic Point Processes (Marked)Illustrative examples presented- Simulated data

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2017
Accession Number
AD1086887

Entities

People

  • Soumyo Moitra

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Anomaly Detection
  • Artifacts
  • Change Detection
  • Copyrights
  • Department Of Defense
  • Detection
  • Engineering
  • Feature Extraction
  • Guarantees
  • Information Assurance
  • Materials
  • Software Development
  • Universities
  • Volatility
  • Vulnerability

Readers

  • Cybersecurity.
  • Mathematical Modeling and Probability Theory.
  • Neural Network Machine Learning.