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15667: Dealing with the Uncertainty of Big Data Security

Friday, August 8, 2014: 10:00 AM-11:00 AM
Room 405 (David L. Lawrence Convention Center)
Speakers: Reg Harbeck(Mainframe Analytics Ltd.) and Brian Cummings(Tata Consultancy Services)
Handouts
  • Uncertainty of Big Data Security (1.5 MB)
  • Do you think your big data is secure, or any of your data for that matter? Heisenberg’s Uncertainly Principle tells us that we can’t measure exactly. Gödel’s Incompleteness Theorem tells us any sufficiently complex system of expression is capable of having indeterminately true or false assertions (e.g., “This sentence is false.”). The Halting Problem of Alan Turing’s eponymous machines shows that the only way to find out how a sufficiently complex system will behave is to let it run and watch it. And odds are that Schrödinger’s cat’s viability says something about the likelihood and degree of data being usable and secured.

    Bring them all together, and join us for a reflective and fun discussion of the conditions and implications as this maps to securing Big Data. There are clues in the cited uncertainty principles.

    Tracks: Big Data - Big Analytics - Big Needs, Security and Compliance, Security in the Enterprise and User Experience
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    See more of Project: Security and Compliance
    See more of Program: Enterprise Data Center