Accession Number:

AD1082647

Title:

Machine Learning in Cybersecurity: A Guide

Descriptive Note:

Technical Report

Corporate Author:

Carnegie Mellon University Software Engineering Institute Pittsburgh United States

Report Date:

2019-01-01

Pagination or Media Count:

29.0

Abstract:

This report lists relevant questions that decision makers should ask of machine-learning practitioners before employing machine learning ML or artificial intelligence AI solutions in the area of cybersecurity. Like any tool, ML tools should be a good fit for the purpose they are intended to achieve. The questions in this report will improve decision makers ability to select an appropriate ML tool and make it a good fit to address their cybersecurity topic of interest. In addition, the report outlines the type of information that good answers to the questions should contain.

Subject Categories:

  • Computer Systems Management and Standards
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE