1 / 21

Objectives

Regulating the Exchange of Tactical Information Using the KAoS Policy Services Framework Larry Bunch Florida Institute for Human and Machine Cognition IHMC : Jeff Bradshaw (PI), Matt Johnson, James Lott, Paul Feltovich, Niranjan Suri, Marco Carvalho

kalare
Télécharger la présentation

Objectives

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Regulating the Exchange of Tactical Information Using the KAoS Policy Services FrameworkLarry Bunch Florida Institute for Human and Machine Cognition IHMC: Jeff Bradshaw (PI), Matt Johnson, James Lott, Paul Feltovich, Niranjan Suri, Marco Carvalho ARL CISD: Larry Tokarcik, Robert Winkler, Somiya Metu July 22, 2009

  2. Objectives • Facilitate secure automated information sharing in net-centric environments • Heterogeneous (e.g. coalition forces) • Tactical (e.g. MANET) • Through a framework for regulating information sharing • Rich language to associate information sharing contexts with requirements • Automated control and enforcement capabilities • Maintain human oversight and approval

  3. Policy Focus More flexible and open information exchange depends upon • Semantically-rich policy representations • Specify the kinds of information that can be shared and with whom • Identify operational contexts that impact information sharing • Easily extend to include new domains and concepts • Advanced policy reasoning capabilities • Context matching • Spatial reasoning • Temporal reasoning • Advanced policy enforcement capabilities • automatically filter information • abstract and transform information • maintain appropriate levels of human oversight and approval

  4. Policy Representation • Rich and meaningful • Describe contexts in human-accessible terms involving multiple attributes at multiple levels of abstraction • Formal • Support automated reasoning and enforcement • Flexible and Extensible • Quickly adapt to changing needs and contexts W3C standard Web Ontology Language (OWL) extended with Role-Value-Map ‘variables’ and enhanced reasoning capabilities

  5. Information Sharing Policy

  6. Policy Representation • Easy to use graphical tools • Policy templates and wizards • Hypertext policy definition language

  7. Policy Representation

  8. Policy Representation • Support for obligations as well as authorizations • Transform & Redact • Prioritize & Delay • Notify & Share • Obtain human approval • Support for sophisticated context descriptions • Actions • Actors • Attributes • States • History

  9. Policy Reasoning • Context matching • Deontic logic using description logic to classify actions and context attributes at multiple levels of abstraction • Intensional and extensional group membership • Role and team assignments • Spatial reasoning • Location (e.g. within an area of operations) • Proximity (e.g. unit to SOF) • Temporal reasoning • Relationships among actions

  10. Policy Enforcement • Application • Policy-aware systems interpret and apply policy to modify their behavior • Middleware • Enforcement components are dynamically instantiated by middleware to apply policy without the knowledge and cooperation of the affected applications

  11. Policy Enforcement Topologies

  12. Blue Force Tracking Demonstration • Policy-based control over the symbols shared among coalition forces • Domain (US Class., US Unclass., UK, NGO) • MIL-STD-2525b Symbol • Affiliation, Echelon, Status, Country • Warfighting Symbols, Tactical Graphics ... • Spatial Reasoning • Agile Computing Middleware enforcement

  13. Blue Force Tracking Demonstration

  14. MIL-STD-2525b Ontology

  15. Blue Force Tracking Demonstration • Symbol abstraction policy • SOF warfighting symbol abstracted to No Fire Zone tactical graphic for US unclassified domains • Proximity-based exception policy • SOF symbol revealed to US forces when within N meters of US unclassified forces • Middleware enforces policies by dynamically instantiating transformation and filtering components

  16. Blue Force Tracking: Abstraction

  17. Blue Force Tracking: Proximity

  18. Unattended Sensor Data Harvesting Demonstration • MANET environment • Policy control of the Agile Computing Dissemination Service to independently regulate • Replication of data by the middleware • Prioritize what data is replicated based on mission • Prevent/Permit a network node to be a carrier • Clients’ ability to subscribe, send, and receive data • Prevent/Permit based on metadata (e.g. type, source, classification level) • Transform, redact, notify, approve • Sensor alerting based on prior alert patterns • A1 followed by A2 within 5 min. followed by A4 => Low Priority

  19. Unattended Sensor Data Harvesting Demonstration

  20. Harvesting Demonstration

  21. Transition • ARL CISD, Adelphi: in-house development of unattended sensor signaling policies • ARL CISD, Aberdeen: intelligence analyst support tool • CERDEC: COBRA and THINK ATO’s

More Related