A Framework for Asymmetric Information Interactions among (Cyber) Defenders and Attackers

Abstract

Engaging and deceiving attackers into intruding controlled systems and accessing obfuscated data offers a proactive approach to computer and information security. It wastes attacker resources and potentially misleads the attacker. Importantly, it also offers an untapped opportunity to understand attackers beliefs,capabilities, and preferences and how they evolve by sifting and mining the detailed activity logs. Identifying these mental and physical states not only informs the defender about the attackers intent, but also guides new ways of deceiving the attacker . In order to establish a formal understanding of deception, this research will build a general framework for computationally modeling interactions between asymmetric adversaries, which, among other uses, is expected to offer a principled basis for deception. The framework will be used to study various interactions between cyber defenders and attackers, with the ultimate goal of foundationally modeling cyber deception and improving its efficacy

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Document Details

Document Type
Technical Report
Publication Date
Jan 12, 2023
Accession Number
AD1201078

Entities

People

  • Prashant Doshi

Organizations

  • University of Georgia Research Foundation

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Bayesian Networks
  • Classification
  • Computational Science
  • Computer Languages
  • Contracts
  • Cyber Deception
  • Cyberattacks
  • Cybersecurity
  • Data Exfiltration
  • Data Sets
  • Hidden Markov Models
  • Information Science
  • Machine Learning
  • Military Research
  • Monitoring
  • Neural Networks
  • Organizational Structure
  • Probabilistic Models
  • Recognition
  • Security
  • Standards
  • Supervised Machine Learning
  • Triangles

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Educational Psychology

Technology Areas

  • Cyber