CAMUS: Automatically Mapping Cyber Assets to Mission and Users (PREPRINT)

Abstract

This research advances Cyber Situation Management by proposing methods for automated mapping of Cyber Assets to Missions and Users (CAMUS). To enable accurate and efficient cyber incident mission impact assessment, a CAMUS ontology that defines entities, relationships and attributes (ERAs) associated with them has been drafted. Methods for fusing data from multiple data sources have been developed alongside an ontology-based system to populate the model using existing network data sources. The CAMUS system demonstrates how commonly available data sources can be rapidly collected, correlated, and fused to automatically map cyber assets to the users who depend on them, to the missions they support, and to services they provide. Also discussed are the technical architecture and challenges to such an approach.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2009
Accession Number
ADA506296

Entities

People

  • Jason K. Kopylec
  • John R. Goodall

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Biological Sciences
  • Computer Network Security
  • Computer Networks
  • Computing System Architectures
  • Cyberspace Operations
  • Data Integration
  • Information Operations
  • Intellectual Property
  • Intrusion Detection
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Models
  • Networks
  • Ontologies
  • Servers (Computer Hardware)
  • Situational Awareness
  • User Interface

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • Cyber