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Rethinking Cyber R&D for
              Compromised Environments




                                         Jim Brase
                                         Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory
Nuclear Weapons Science and
                                                 Engineering

                                                                       Intelligence and Network
      Laser Science and                                                         Analysis
         Technology




   Earth and Atmospheric
          Science                                                      Chemistry and Materials

                                               High Performance
                                                  Computing




Lawrence Livermore National Laboratory                                                            2
The rapidly evolving Information network environment
   • No such thing as a perimeter – mobility and cloud – your network is
     everywhere
   • Convergence and proliferation increase attack paths
   • Growing adversary capabilities – polymorphism, persistence, …

Lawrence Livermore National Laboratory                                     3
Deterrence is limited                        Prevention is limited
• Growing cost asymmetries                   • No path to defect-free systems
• Limited attribution – lack of              • Global hardware and software
  identity                                     supply chains




          Capable adversaries are and will be in our systems and
                                networks

    Lawrence Livermore National Laboratory                                      4
To do this we need new
                                         capabilities
                                         • Situational awareness – Know
                                           the network and its activities at
                                           full-scale and in real-time
                                         • Predict network behaviors - how
                                           the mission will interact with the
                                           network and how defensive
                                           activities will affect it
                                         • Adapt protection and response
                                           for the specific activity,
                                           environment, and threat 
                                           resilience

Lawrence Livermore National Laboratory                                     5
Developing a new R&D roadmap for mission assurance in
compromised environments
• Using supercomputers to analyze mission
  risk
    • How does mission performance degrade if
      the network is compromised?
    • Predicting the security properties of
      complex network systems at full scale

• Cyber situational awareness at scale
                                                   Situational awareness through machine
    • Rapid, continuous, low-impact network
                                                         learning and graph analytics
      mapping
    • Behavioral anomalies in high-speed streams
    • Move from perimeter awareness to
      awareness over the full network 
      Thousands of simultaneous real-time
      behavioral models

• Real-time active defense measures –
  Adapting defenses in real-time to match the
  current threat and environment                    High-fidelity mission simulation at full-
                                                                     scale

   Lawrence Livermore National Laboratory
Operations are informing the science – but the
transition from science back to operations is critical

                                            The DOE/NNSA Labs are working
                                            together to develop government
                                            partnerships to transition R&D in

                                            • Network situational awareness
                                             • Low-impact network mapping
                                             • Multisource network characterization
                                             • Real-time anomaly detection

                                            • Predictive network analysis
                                             • Simulation for mission risk analysis
                                             • Rapid reverse engineering tools
                                             • Malware fingerprinting and attribution




   Lawrence Livermore National Laboratory
Expanding the set of                                                        Enabling secure
innovators                                                                  operations
  • Access to resources                                                       • Secure, authenticated
    – computation, data,                                                        threat information
    tools                                                    Trusted            sharing
                                             Incubation    Information        • Sharing product and
  • Enable broad
                                                             Sharing            best practices
    participation in
    development                                                                 experience
  • Managed by UC
    Berkeley
                                                    Research &
                                                   Development
                                                                         Education and outreach
Building R&D foundations                                                 • Education and outreach
• Roadmaps for R&D and policy                         Education            programs transition concepts
• Foundational R&D projects –                                              into practice
  behavioral analytics, simulation,                                      • Workshops on technology-
  vulnerability analysis                                                   policy integration

    Lawrence Livermore National Laboratory

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2011 USSTRATCOM Cyber and Space Symposium Session Seven Mr. James Brase

  • 1. Rethinking Cyber R&D for Compromised Environments Jim Brase Lawrence Livermore National Laboratory Lawrence Livermore National Laboratory
  • 2. Nuclear Weapons Science and Engineering Intelligence and Network Laser Science and Analysis Technology Earth and Atmospheric Science Chemistry and Materials High Performance Computing Lawrence Livermore National Laboratory 2
  • 3. The rapidly evolving Information network environment • No such thing as a perimeter – mobility and cloud – your network is everywhere • Convergence and proliferation increase attack paths • Growing adversary capabilities – polymorphism, persistence, … Lawrence Livermore National Laboratory 3
  • 4. Deterrence is limited Prevention is limited • Growing cost asymmetries • No path to defect-free systems • Limited attribution – lack of • Global hardware and software identity supply chains Capable adversaries are and will be in our systems and networks Lawrence Livermore National Laboratory 4
  • 5. To do this we need new capabilities • Situational awareness – Know the network and its activities at full-scale and in real-time • Predict network behaviors - how the mission will interact with the network and how defensive activities will affect it • Adapt protection and response for the specific activity, environment, and threat  resilience Lawrence Livermore National Laboratory 5
  • 6. Developing a new R&D roadmap for mission assurance in compromised environments • Using supercomputers to analyze mission risk • How does mission performance degrade if the network is compromised? • Predicting the security properties of complex network systems at full scale • Cyber situational awareness at scale Situational awareness through machine • Rapid, continuous, low-impact network learning and graph analytics mapping • Behavioral anomalies in high-speed streams • Move from perimeter awareness to awareness over the full network  Thousands of simultaneous real-time behavioral models • Real-time active defense measures – Adapting defenses in real-time to match the current threat and environment High-fidelity mission simulation at full- scale Lawrence Livermore National Laboratory
  • 7. Operations are informing the science – but the transition from science back to operations is critical The DOE/NNSA Labs are working together to develop government partnerships to transition R&D in • Network situational awareness • Low-impact network mapping • Multisource network characterization • Real-time anomaly detection • Predictive network analysis • Simulation for mission risk analysis • Rapid reverse engineering tools • Malware fingerprinting and attribution Lawrence Livermore National Laboratory
  • 8. Expanding the set of Enabling secure innovators operations • Access to resources • Secure, authenticated – computation, data, threat information tools Trusted sharing Incubation Information • Sharing product and • Enable broad Sharing best practices participation in development experience • Managed by UC Berkeley Research & Development Education and outreach Building R&D foundations • Education and outreach • Roadmaps for R&D and policy Education programs transition concepts • Foundational R&D projects – into practice behavioral analytics, simulation, • Workshops on technology- vulnerability analysis policy integration Lawrence Livermore National Laboratory