Data Science for Cybersecurity: Hands-on Labs for Basic Data Science Skills

Abstract

Objectives: What digital forensics and data science are; Techniques to approach and data-driven problem, exploring data, developing and testing hypotheses, checklist for data-do's and don'ts; Practical applications; Familiarity with Jupyter notebooks; understanding applying data science to cybersecurity.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2022
Accession Number
AD1183636

Entities

People

  • Thomas P. Scanlon

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Forensics
  • Computer Programming
  • Computer Vision
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Detection
  • Detectors
  • Digital Information
  • Disinformation
  • Engineering
  • Information Science
  • Machine Learning
  • Models
  • Neural Networks
  • Software Development
  • Video

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Software Engineering
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Cyber