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Privacy Issues in Big Data Processing in light of Data Breaches

Talkat Data By the Bay 2016 · 2016-05-16..05-20· [security, privacy-and-compliance]
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slides:none on file

Five high-profile breaches show the attack vectors and failed protections: third-party credentials let attackers pivot into Target and Home Depot, FireEye alerts get ignored, Chase exposes about 76 million households and 7 million businesses, Anthem loses 78.8 million records unencrypted, Ashley Madison stored weakly normalized passwords, and OPM leaks enable foreign intelligence picks. Practical mitigations include collecting less PII, using salted and format-preserving encryption, strict role-based access, behavioral analytics for insider abuse, and mandatory two-factor authentication.

AI-written summary · about

  1. 0:00Introduction to privacy risks
  2. 3:31Big data processing explained
  3. 5:16Types of stolen data
  4. 7:24Data protection strategies
  5. 13:50Access control and monitoring
  6. 15:39Case study Target breach
  7. 16:22Case study Home Depot breach
  8. 16:42Case study Chase Bank breach
  9. 17:03Case study Anthem breach
  10. 18:08Case study OPM breach
  11. 19:12Two-factor authentication flaws
  12. 20:15Impact of stolen data authenticity
  13. 20:36Healthcare breach costs
  14. 21:17Legal notification requirements
  15. 22:00Business email compromise scams
  16. 23:45Best practices summary
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