An Architecture for Multilevel Secure Interoperability

Abstract

As computer systems become distributed and heterogeneous, there is strong movement in the commercial sector to ease the problems of interoperability and security. Many standards have been proposed for these problems. However, the commercial sector has not shown strong interest in providing cost-effective high-assurance multilevel security (MLS) solutions to the relatively small communities (e.g. intelligence, military) that require them. In this paper, we introduce a practical, cost-effective, and high-assurance secure solution for multilevel distributed and heterogeneous environments using COTS components. The solution is based on an MLS architecture that consists of commercial single-level hardware and software, and a few specialized security devices. We show how an MLS CORBA can be constructed from single-level CORBAs and two security devices; the NRL Pump and the Starlight Interactive Link. We also introduce the concept of MLS cooperative Computing which is a way to semi-automate distributed computing among organizations at different security levels.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1997
Accession Number
ADA462626

Entities

People

  • Ira S. Moskowitz
  • Judith N. Froscher
  • Myong H. Kang

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • C4I
  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Protocols
  • Application Software
  • Computer Access Control
  • Computer Networks
  • Computer Programming
  • Computers
  • Computing System Architectures
  • Distributed Computing
  • Electronic Mail
  • Graphical User Interface
  • Information Systems
  • Infrastructure
  • Internet
  • Java Programming Language
  • Operating Systems
  • Programming Languages
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Neural Network Machine Learning.