Cross Domain Rule Set Verification Tools and Process Improvements
Abstract
In the Team Mission Training Environment, the primary training goal is to promote pilot and crew station readiness. One of the key ingredients in achieving this goal is a well designed Cross Domain Rule Set that minimizes limitations on data flowing between security domains; therefore, allowing for more effective and realistic training over the Combat Air Force (CAF) Distributed Mission Operations Network (DMON). The key to developing a well designed Cross Domain Rule Set is verification of the simulation traffic processed by the Cross Domain Solution. Verification of a Rule Set is a complex and time consuming process. Complicating factors include the volume of simulation traffic and the intricacies of the Rule Set. In the past, the process of analyzing simulation traffic processed by the Cross Domain Solution has been a manually intensive process that required many hours of analysis that introduced possible margins for error. A manual process is not an acceptable method since this analysis is performed many times for an applied Rule Set to ensure that the Rule Set is functioning as required by the Designated Approving Authority. This paper reports on solutions and tools that address this verification problem and the process improvements that have been achieved from lessons learned. This paper describes the Event Analysis Tool (EAT), an automated tool used to streamline the simulation traffic verification process, and the Air Force Research Laboratory developed visualization tool that allows users to verify that data is being filtered according to the applied Cross Domain Rule Set. These tools greatly speed up the Rule Set verification process and help to identify residual inference risks
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2010
- Accession Number
- ADA544462
Entities
People
- Charles Mcelveen
- Kelly Djahandari
- Lance Call
- Martin Liedy
Organizations
- Air Force Research Laboratory