A Recommender System in the Cyber Defense Domain

Abstract

In the cyber domain, network defenders have traditionally been placed in a reactionary role. Before a defender can act they must wait for an attack to occur and identify the attack. This places the defender at a disadvantage in a cyber attack situation and it is certainly desirable that the defender out maneuver the attacker before the network has been compromised. The goal of this research is to determine the value of employing a recommender system as an attack predictor, and determine the best con guration of a recommender system for the cyber defense domain. The most important contribution of this research e ort is the use of recommender systems to generate an ordered list of cyber defense actions.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2014
Accession Number
ADA600322

Entities

People

  • Katherine B. Lyons

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Central Processing Units
  • Collaborative Techniques
  • Computational Science
  • Computers
  • Cyberattacks
  • Cybersecurity
  • Data Mining
  • Databases
  • Information Science
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Machine Learning
  • Network Protocols
  • Network Science
  • Operating Systems

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Naval Mine Countermeasure Systems Development.
  • Systems Analysis and Design

Technology Areas

  • Cyber