Information Operations Vulnerability/Survivability Assessment (IOVSA) for the Bradley Fire Support Team Vehicle (BFIST): System Familiarization Phase

Abstract

The Information Operations Vulnerability/Survivability Assessment (IOVSA) process, developed by the S urvivability/Lethality Analysis Directorate (SLAD) of the U.S. Army Research Laboratory (ARL) for the purpose of conducting an analysis of the effects of information operations/information warfare (10/lw) threats on battlefield information systems was applied to the M7 model of the Bradley Fire Support Team Vehicle (BFIST). The IOVSA process consists of five distinct phases which must be completed for a complete analysis of 10/lW threat impact on weapon system capability: (1) system familiarization, (2) system design analysis, (3) threat definition and susceptibility assessment, (4) vulnerability risk assessment, and (5) protection assessment and recommendations. This report documents the IOVSA system familiarization phase for the M7 BFIST with particular focus on those critical information systems relating to battlefield communications.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2001
Accession Number
ADA388384

Entities

People

  • Brian G. Ruth

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Application Software
  • Command And Control
  • Communications Protocols
  • Computer Communications
  • Computer Programming
  • Computer Programs
  • Control Systems
  • Digital Communications
  • Information Operations
  • Information Systems
  • Instruction Set Architecture
  • Multiple Access
  • Network Protocols
  • Operating Systems
  • Tactical Data Systems
  • Test And Evaluation
  • Transport Protocols

Readers

  • Computational Modeling and Simulation
  • Emergency Management and Homeland Security.
  • Sensor Fusion and Tracking Systems.