A Survey of Methods for Detecting Intentional Insider Threats Against Digital Systems

Abstract

Insider threats are a serious problem in all organizations and continue to be an issue despite technological advances. Insider threats can undermine cybersecurity by subverting controls or exploiting weak systems. These subversions can be enabled by an inadequate security policy, poor policy implementation, or new attack innovations. This thesis identifies the tactics that can be used by an intentional insider threat to subvert policies, and examines whether sufficiently reliable tools and policies are available to prevent and detect this type of behavior. We conclude with policy and technical control recommendations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2021
Accession Number
AD1150862

Entities

People

  • Meagan A. Bridgeman

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automata Theory
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Cybersecurity
  • Data Mining
  • Employment
  • Information Science
  • Information Security
  • Information Systems
  • Insider Threats
  • Machine Learning
  • Malware
  • Network Protocols
  • Network Science
  • Neural Networks
  • Social Media
  • Supervised Machine Learning

Readers

  • Cybersecurity.
  • Strategic Security Studies

Technology Areas

  • Cyber