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1 Grand Challenges in Data Usage Control Prof. Ravi Sandhu Executive Director and Endowed Chair

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Presentation on theme: "1 Grand Challenges in Data Usage Control Prof. Ravi Sandhu Executive Director and Endowed Chair"— Presentation transcript:

1 1 Grand Challenges in Data Usage Control Prof. Ravi Sandhu Executive Director and Endowed Chair ravi.sandhu@utsa.edu www.profsandhu.com www.ics.utsa.edu © Ravi Sandhu World-Leading Research with Real-World Impact! Institute for Cyber Security

2 Fundamental Premise  Cyber Security is about tradeoffs  confidentiality, integrity, availability, usage, privacy, cost, usability, productivity, etc  Tradeoffs require application context © Ravi Sandhu 2 World-Leading Research with Real-World Impact! ProductivitySecurity Let’s build it Cash out the benefits Next generation can secure it Let’s not build it Let’s bake in super-security to make it unusable/unaffordable Sweet spots exist How to predictably find them? The cyber security grand challenge

3  Proof point: Automatic Teller Machines  secure enough  global and growing  not pitched as a success story  Proof points: others in consumer space  on-line banking  e-retail  electronic payments (suggested by David Chadwick)  Proof points: beyond consumer space  US President’s nuclear football  secret formula for Coca Cola © Ravi Sandhu 3 World-Leading Research with Real-World Impact! Sweet Spots Exist

4  Once data has escaped into the wild it cannot be recaptured  Closing the barn door after the horse has fled and been cloned multiple times  Data can leak from legitimate recipients through analog and digital holes  Mal-users can leak  Mal-ware can leak (w/o requiring mal-users) © Ravi Sandhu 4 World-Leading Research with Real-World Impact! Limits of Data Usage Control Preventive Technologies have Absolute Limits Detection and Recourse Technologies have Scaling Limits

5  Jaehong Park and Ravi Sandhu. 2004. The UCON ABC usage control model. ACM Trans. Inf. Syst. Secur. 7, 1 (February 2004), 128-174.  Alexander Pretschner, Manuel Hilty, and David Basin. 2006. Distributed usage control. Commun. ACM 49, 9 (September 2006), 39-44. © Ravi Sandhu 5 World-Leading Research with Real-World Impact! What is Data Usage Control Emphasis on authorizations and obligations before and during usage Emphasis on post-usage obligations

6 © Ravi Sandhu 6 World-Leading Research with Real-World Impact! Usage Control Motivators Security Architectures Security Objectives

7 © Ravi Sandhu 7 World-Leading Research with Real-World Impact! UCON ABC Models Continuity Decision can be made during usage for continuous enforcement Mutability Attributes can be updated as side- effects of subjects’ actions

8 © Ravi Sandhu 8 World-Leading Research with Real-World Impact! Contexts for Data Usage C Individual Consumer P Individual Professional B Business Enterprises Comment by Alexander Pretschner: Need attacker contexts also

9 © Ravi Sandhu 9 World-Leading Research with Real-World Impact! Contexts for Data Usage Contexts crossover and bleed into one another

10  Fair Credit Reporting Act (FCRA)  1970 onwards  Internal Revenue Service  Federal Bureau of Investigation (FBI) vis a vis Central Intelligence Agency (CIA) and National Security Agency (NSA)  pre and post 9/11  Family Educational Rights and Privacy Act (FERPA)  1974 onwards © Ravi Sandhu 10 World-Leading Research with Real-World Impact! Data Usage Control Laws (USA)

11  Digital Audio Tape (DAT)  iTunes © Ravi Sandhu 11 World-Leading Research with Real-World Impact! Digital Rights Management

12  Laws, norms, business contracts are all necessary  What can be done technically  The Containment Challenge  The Policy Challenge  The Reality Challenge  Not included in delivered talk:  How should microsec and macrosec play into this? © Ravi Sandhu 12 World-Leading Research with Real-World Impact! Grand Challenges


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