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Lecture 5: Cloud Security: what’s new?

Lecture 5: Cloud Security: what’s new?. Xiaowei Yang (Duke University). Recap. Exploring information leakage in third-party compute clouds Placement Determining co-residence Inferrence. Placement. Launching test instances

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Lecture 5: Cloud Security: what’s new?

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  1. Lecture 5: Cloud Security: what’s new? Xiaowei Yang (Duke University)

  2. Recap • Exploring information leakage in third-party compute clouds • Placement • Determining co-residence • Inferrence

  3. Placement • Launching test instances • Determining the correlation between instance placement and IP addresses • Launching many probe instances in the same availability zone

  4. Determining co-residence • Traceroute

  5. Cross-VM information leakage • Load measurement: Prime-Trigger-Probe • B: buffer of size b; s: cache line size • Prime: Read B at s-offset • Trigger: busy-loop until swapped out • Probe: measure the time it takes to read B again at s-offset • If it takes long  • If it does not take long 

  6. Load-based co-residence detection • Send http requests to a target VM • Do load measurement • High  • Low 

  7. Which one(s) shows co-resident?

  8. Estimating traffic rates • High traffic rates  high load

  9. Keystroke timing attack • Hypothesis • On an idle machine, • High load spike  keystroke input • Timing between high load spikes  timing between keystrokes • Timing between keystrokes  infers password

  10. Summary • Co-residence  information leak • Defending against it is hard

  11. What’s New About Cloud Computing Security?

  12. Overview • New threats • New research opportunities

  13. New threats • A more reliable alternative to botnets • If cloud computing is cheaper and more reliable than botnets, use cloud • Brute-forcer • Resource sharing and interference • Placement, inferrence • Reputation fate sharing • Spammers block other legitimate services • An FBI raid

  14. Novel elements • Protecting data and software is not enough  Activity pattern needs protection as well • Reputation attribution • A longer trust chain • Competitiveness business may co-locate

  15. Is mutual auditability a solution? • Provider audits customer’s activities • Customer audits what a provider provides •  enables attribution of blame

  16. New opportunities • Cloud providers should offer a choice of security primitives • Granularity of virtualizations • Physical machines, LANS, clouds, or datacenters • Mutual auditability • Provider audits customer’s activities • Customer audits what a provider provides •  enables attribution of blame • Studying cloud security vulnerabilities

  17. Next • Discovering VM dependencies using CPU utilization • Question to ponder: can this technique be used a security attack?

  18. Interesting techniques • Inference technique • Auto-regressive modeling: use past samples to predict future values • Compute distances of AR models • Models with similar coefficients are closer • K-mean clustering • Perturbation to improve inference accuracy

  19. Security attacks • Achieving co-residence • Do load measurements • Figure out service correlations • DoS all related services

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