SCAIFE: An Alert Auditing Classification Prototype (Briefing Charts)

Abstract

In this SEI Cyber Minute, Ebonie McNeil explains how the Source Code Analysis Integrated Framework Environment or (SCAIFE) prototype is intended to be used by developers and analysts who manually audit alerts. SCAIFE provides automatic alert classification using machine learning which gives a level of confidence that the alert is true or false. The SCAIFE prototype also enables organizations to apply formulas that prioritize static analysis alerts by using factors they care about.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2019
Accession Number
AD1078075

Entities

People

  • Ebonie Mcneil

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Auditing
  • Automatic
  • Classification
  • Computer Programs
  • Machine Learning
  • Materials
  • Prototypes
  • Software Design
  • Software Development
  • Universities
  • User Friendly
  • Websites

Readers

  • Cybersecurity.
  • Software Engineering.

Technology Areas

  • AI & ML
  • Cyber