Network Science and Intelligent Systems-Wireless Communications and Information Networks: Security Policy Migrants in Dynamic Collaborative IT Environments

Abstract

Objective: To find general-purpose principles and methods to address a problem that so far has only been informally identified and only a patchwork of ad-hoc solutions exists: The Reuse and Migration of Security Policies. The ARL is particularly interested in this area of research to ensure the confidentiality, integrity and availability needed for next-generations of distributed dynamic coalition operations. Approach: The use of the well-understood observation that many security and privacy polices can be enforced by Mealy automata to develop approaches to migration and reuse of policies under a unique computational framework. To frame the solutions in terms of a Machine Learning (ML) problem: to learn automata.

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Document Details

Document Type
Technical Report
Publication Date
Feb 25, 2023
Accession Number
AD1221881

Entities

People

  • Alessandra Russo
  • Jorge Lobo

Organizations

  • Imperial College London

Tags

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Cybersecurity.
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Cyber