© 2015 - All Rights Reserved. Mining Big Data for Fun, Fraud and Profit Vitaly Levin...
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Transcript of © 2015 - All Rights Reserved. Mining Big Data for Fun, Fraud and Profit Vitaly Levin...
![Page 2: © 2015 - All Rights Reserved. Mining Big Data for Fun, Fraud and Profit Vitaly Levin vitalylevin@outlook.com.](https://reader031.fdocuments.net/reader031/viewer/2022020320/56649e905503460f94b95325/html5/thumbnails/2.jpg)
Value
“Data is the new Oil. Data is just like crude. It’s valuable, but if unrefined it cannot really be used.”– Clive Humby, DunnHumby
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“We have for the first time an economy based on a key resource [Information] that is not only renewable, but self-generating. Running out of it is not a problem, but drowning in it is. – John Naisbitt
![Page 3: © 2015 - All Rights Reserved. Mining Big Data for Fun, Fraud and Profit Vitaly Levin vitalylevin@outlook.com.](https://reader031.fdocuments.net/reader031/viewer/2022020320/56649e905503460f94b95325/html5/thumbnails/3.jpg)
Uber - the world’s largest taxi company, owns no vehicles.
Google - world’s largest media/advertising company, creates no content.
Alibaba - the most valuable retailer, has no inventory.
Airbnb - the world’s largest accommodation provider, owns no real estate.
Today’s World
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Attacker Capabilities Time to Discovery
Current Security Trends
Verizon Data Breach Investigations Report
![Page 5: © 2015 - All Rights Reserved. Mining Big Data for Fun, Fraud and Profit Vitaly Levin vitalylevin@outlook.com.](https://reader031.fdocuments.net/reader031/viewer/2022020320/56649e905503460f94b95325/html5/thumbnails/5.jpg)
Attack surface is increasing
Sec teams are missing attacks
Why is security getting worse?
Attack are more sophisticated
Sec teams need to increase experience and efficiency
Existing strategies and controls are failing
Tools, processes and knowledge must adapt to new threats
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Data Mining
![Page 7: © 2015 - All Rights Reserved. Mining Big Data for Fun, Fraud and Profit Vitaly Levin vitalylevin@outlook.com.](https://reader031.fdocuments.net/reader031/viewer/2022020320/56649e905503460f94b95325/html5/thumbnails/7.jpg)
No worries, I got this!
Big Problems Drive Innovation
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Where is security being forced to head: Sharing of Intelligence - Vendors, CFI, etc… Behaviour Based Detection
◦ Traditional and Non Traditional Sources Non Signature based Malware Detection Cameras for Networks Cloud Security Apps Mobile Devices Two-Factor Authentication Data level encryption and obfuscation
Direction
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Behavior based – data relationships not predetermined
Designed to analyze massive data sets
Incorporates learning to improve
Can analyze non-traditional data sources◦ Intelligence, identity, network, Logs
Application of Big Data
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Insider Threats
Malware
Attacks
Potential Risks
**BE AWARE – Logs might contain information you do not expect
Application of Big Data - Detection
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Example
www.omnimaas.com
Application of Intelligence to On-Line Banking and Portals
- Two-Factor Authentication for high risk transaction- Data encryption from Storage to Client (browser/App)
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Vitaly [email protected]