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Adap%ve  Cybersecurity  Technologies:  Impact    

Ulf  Lindqvist,  Ph.D.  

Program  Director,  Infrastructure  Security  Research   Computer  Science  Laboratory  

SRI  Interna%onal    

Presented  at  the  Belfast  2013  Summit,  March  15,  2013  

The work by SRI International was funded by U.S. Department of Homeland Security’s Science and Technology Directorate. The views and conclusions contained herein are those of the author and should not be interpreted as necessarily

representing the official policies or endorsements, either expressed or implied, of the U.S. Department of Homeland Security or the U.S. government.

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About  SRI  Interna%onal  

SRI  is  a  world-­‐leading  R&D  organiza%on  

•  An  independent,  nonprofit  corpora%on  

–  CommiQed  to  discovery  and  to  the  applica%on  of  science  

and  technology  for  knowledge,  commerce,  prosperity,   and  peace  

–  Founded  by  Stanford  University  in  1946  

–  Independent  in  1970;  changed  name  from  

Stanford  Research  Ins%tute  to  SRI  Interna%onal  in  1977  

•  More  than  2,100  staff  members    

•  More  than  20  loca%ons  worldwide    

Princeton,  New  Jersey  

Silicon  Valley  -­‐  Headquarters   Harrisonburg,  Virginia  

Tokyo,  Japan  

Washington,  D.C.  

State  College,  Pennsylvania  

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Adap%ve  Cybersecurity  Technologies  

•  Also  known  as  

– Moving  target   – Moving  defense   – Dynamic  defense   •  No  standard   defini%ons  yet   •  General  idea:   – Increase  uncertainty,  

complexity,  and  cost   for  the  aQacker  

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Sta%c  Systems  and  Defenses  Allow  AQackers  to  Prac%ce  

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Current  Status  of  Adap%ve  Cybersecurity  R&D   R&D   Post-­‐R&D   • Assessments   • Experiments   • Outreach   Pre-­‐R&D   • Research  agendas   • Solicita%ons   Priori%zed   Requirements  

Cybersecurity R&D execution model from: D. Maughan, D. Balenson, U. Lindqvist, Z. Tudor, Crossing the “Valley of Death”: Transitioning Cybersecurity Research into Practice, in IEEE Security & Privacy Magazine, March/April 2013, to appear

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Current  Status  of  Adap%ve  Cybersecurity  R&D  

Post-­‐R&D  

• Assessments  

• Experiments  

• Outreach  

Cybersecurity R&D execution model from: D. Maughan, D. Balenson, U. Lindqvist, Z. Tudor, Crossing the “Valley of Death”: Transitioning Cybersecurity Research into Practice, in IEEE Security & Privacy Magazine, March/April 2013, to appear Pre-­‐R&D   • Research  agendas   • Solicita%ons   R&D   Priori%zed   Requirements  

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Overview  of  Current  R&D  in  Adap%ve  Cybersecurity  

•  Moving  Target  

– Na%onal  Symposium  on  

Moving  Target  Research    

– DHS  S&T  Moving  Target  

Defense  Program   •  Dynamic  Defense   Workshop   •  Socware-­‐defined   networking  enabling   adap%ve  techniques   •  Common  approaches   noted   – Randomiza%on   – Decep%on   – Detec%on   – Deflec%on/Quaran%ne  

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Moving  Target  Research  Symposium,  June  11,  2012  

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DHS  S&T:  Moving  Target  Defense  Program  

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DHS  S&T:  Moving  Target  Defense  Program  contd.  

•  Projects  awarded  under  DHS  S&T  BAA11-­‐02,  TTA  12  

–   Moving  Target  Defense  for  Secure  Hardware  Design  (Princeton  University)  

•  Develop  hardware  solu%on  that  applies  moving  target  defense  to  processor  cache  

mapping,  preven%ng  informa%on  leakage  from  cache  side-­‐channel  aQacks   –  Appliance  for  Ac%ve  Reposi%oning  in  Cyberspace  (Northrop  Grumman  

Informa%on  Systems)  

•  Develop  network  edge  hardware  device  that  will  change  IP  addresses  across  mul%ple  

separate  enclaves  at  a  sub-­‐second  frequency  over  a  10Gb/s  network  connec%on,  to   prevent  adversary  mapping  of  the  aQack  surface  

•  SBIR  Phase  I  projects  funded  by  DHS  S&T  

1)  Framework  managing  con%nuous  deployment  of  randomized  socware  

2)  IP  hopping  system  u%lizing  IPv6  

3)  System  that  removes  sta%c  aQributes  and  con%nuously  refreshes    

4)  Binary  randomiza%on  tool,  comprehensively  randomizing  binary  programs  

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Dynamic  Defense  Workshop  at  Sandia,  Sept.  5-­‐6,  2012   •  Discussion  topics  

–  Taxonomies  and  structures  

–  Challenges  and  opportuni%es  

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Socware-­‐Defined  Networking    

Enabling  Adap%ve  Techniques  

Source: R. Sherwood, S. Das, Y. Yiakoumis, AT&T Tech Talks October 2010 www.openflow.org/wk/images/1/17/OpenFlow_in_SPnetworks.ppt

Windows   (OS)   Windows   (OS)   Linux   Mac   OS   x86   (Computer)   Windows   (OS)   App   App   Linux  

Linux   Mac  OS  Mac  OS  

Virtualiza%on  layer   App   Controller  1   App   App   Controller   2  

Virtualiza%on  or  “Slicing”   App   OpenFlow   Controller  1   NOX   (Network  OS)   Controller   2   Network  OS  

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FRESCO:  Modular  Composable  Security  Services     for  Socware-­‐Defined  Networks  (NDSS  2013)  

•  FRESCO:  an  OpenFlow  security  applica%on  framework  for  rapid  design  and  

modular  composi%on  of  OpenFlow-­‐enabled  detec%on  and  mi%ga%on   modules  

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Detec%on  and  Quaran%ne  1:     BotHunter  and  FRESCO  

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Detec%on  and  Quaran%ne  2:    

Machine  Biometrics  and  Cocooning  

•  Project:  Machine-­‐Oriented  

Biometrics  and  Cocooning  for   Dynamic  Network  Defense  (J.  J.   Haas,  J.  Hamlet,  J.Doak,  Sandia   Na%onal  Laboratories)  

•  Cocoon  an  affected  host  when  an  

anomaly  or  event  is  detected  

•  Use  socware-­‐defined  networking  to  

redirect  a  subset  of  suspicious  network   traffic  from  real  to  emulated  services   with  sani%zed  data  to  deceive  the   aQacker  

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Advanced  Adap%ve  Detec%on  

•  Signature-­‐based  detec%on/ preven%on  will  always  be   behind  the  curve  

•  SRI  has  developed    

–  A  suite  of  detec%on  

mechanisms  that  are  based  on   higher-­‐level  models  

–  Specialized  detec%on  

mechanisms  for  protocols  used   in  cri%cal  infrastructures  

–  Advanced  model-­‐based  

detec%on  technologies  that   reduce  false  posi%ves  and  the   need  for  pris%ne  training  data  

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Summary  

•  There  are  ongoing  ac%ve  pre-­‐R&D  and  R&D  efforts  in  

Adap%ve  Cybersecurity  

•  Discussions  around  metrics  and  evalua%on  have  

started  

•  Frameworks  and  tools  are  currently  being  developed  

•  Expect  real  impact  within  2-­‐3  years,  when  the  first  

tools  will  have  been  transi%oned  to   commercializa%on  and  deployment  

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Headquarters:  Silicon  Valley  

 

SRI  Interna8onal  

333  Ravenswood  Avenue   Menlo  Park,  CA  94025-­‐3493   650.859.2000       Washington,  D.C.       SRI  Interna8onal   1100  Wilson  Blvd.,  Suite  2800   Arlington,  VA  22209-­‐3915   703.524.2053      

Princeton,  New  Jersey  

 

SRI  Interna8onal  Sarnoff   201  Washington  Road   Princeton,  NJ  08540   609.734.2553    

AddiHonal  U.S.  and     internaHonal  locaHons     www.sri.com  

Thank  You  

Ulf  Lindqvist   650.859.2351   [email protected]    

References

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