A Computing Model for Information Systems Survivability Assessments

Abstract

The Information Systems Survivability Assessment (ISSA) is a process of analytical steps, which the Survivability/Lethality Analysis Directorate (SLAD) of the U.S. Army Research Laboratory (ARL) applies to networked automated Information Systems (INFOSYS) of military interest. The goal of SLAD's information systems survivability (ISS) tools, techniques, and methodology (TTM) development program is to generate predictive computer models that predict, as closely as is reasonably possible, the real-world observed behavior of specific information processor properties caused by various real-world stimuli using an agreed-upon set of metrics. These stimuli range from normal network operations to the stressing stimuli caused by various software errors, hardware errors, and the multitude of the different forms of intentional or unintentional misuse and hostile attacks to which an information processor may be subjected. This report relates the specifics of an analytical model that has been developed for use in ISSAs. This model, the Information Systems Survivability Assessment Model (ISSAM), was designed to be used in modeling the sequence of events and the response of the information systems to different information operations (10) threats or challenges.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1998
Accession Number
ADA352062

Entities

People

  • Richard L. Zum Brunnen

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Circuit Boards
  • Circuits
  • Classification
  • Computer Languages
  • Computers
  • Information Operations
  • Information Systems
  • Information Warfare
  • Local Area Networks
  • Military Research
  • Networks
  • Operating Systems
  • Printed Circuit Boards
  • Printed Circuits
  • Radio Frequency
  • Survivability
  • System Of Systems

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Cybersecurity.