A Methodology, a Language, and a Tool to Provide Information Security Assurance Arguments

Abstract

As information systems become more complex and industry and military rely more on their correct operation, the need for survivable, secure systems becomes more pressing. System designers and assessors need to clearly understand the causality, relationships, vulnerabilities, threats, system-level view points, and objectives of an entire enterprise. To design a system that can be trusted or assess security properties in a system, the related assurance arguments need to be developed and described effectively in a well-organized format by means of a sound language. To satisfy this requirement, we introduce a methodology, ECM (Enterprise Certification Methodology), to derive and organize the related assurance arguments effectively. We have developed a visual language, CAML (Composite Assurance Mapping language), to build the map of the assurance argument using ECM. This map depicts the claim trees for the assurance arguments related to the enterprise security objective. We have also developed a tool, VRNM (Visual Network Rating Methodology), to help users develop a map to assurance arguments in CAML based on 11CM and document it with related descriptions in a common environment.

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 2002
Accession Number
ADA399505

Entities

People

  • Andrew Moore
  • Beth Strohmayer
  • Bruce Montrose
  • Joon-Hyuk Park
  • Judith Froscher

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Cyber
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Composite Materials
  • Computer Network Security
  • Computers
  • Cybersecurity
  • Engineering
  • Environment
  • Information Security
  • Information Systems
  • Language
  • Military Research
  • National Security
  • Performance Tests
  • Risk
  • Security
  • Systems Engineering
  • Vulnerability
  • Word Processors

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Cybersecurity.
  • Database Systems and Applications