Automating Reasoning of MITRE ATT and CK for Predicting Cyber Attack Techniques using Statistical Machine Learning

Abstract

MITRE ATT and CK TTP (Tactics, Techniques, Procedures) are low-level descriptions of adversarial actions. Everyone is interested in using ATT and CK for detection, prediction, forensics, and threat hunting because it provides observables for detecting attacks. Goal: Characterize the behavior of APT, malware, and software attacks. Challenges: 1. MITRE ATT and CK is not ordered in a technique level important for prediction and threat hunting. 2. MITRE ATT and CK is not ordered in Kill Chain level important to understand attacker strategies and constructing TTP Chains. Hypothesis: Do MITRE ATT and CK techniques exhibit associations, preconditions, or post-conditions?

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2019
Accession Number
AD1082648

Entities

People

  • Jonathan Spring
  • Rawan Al-shaer

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Clustering
  • Cyberattacks
  • Data Mining
  • Data Sets
  • Engineering
  • Information Science
  • Learning
  • Machine Learning
  • Materials
  • Probability
  • Probability Distributions
  • Reasoning
  • Silhouettes
  • Software Development
  • Statistics
  • Universities
  • Validation

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Military Logistics and Supply Chain Management
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Cyber