Protecting Data Privacy in the Era of Big Data

1. How to protect data privacy in the era of big data?Dr. Amirudin bin Abdul WahabCHIEF EXECUTIVE OFFICER, cybersecurity malaysiaSERI KEMBANGAN, SELANGOR,MALAYSIA

2. PRESENTATION AGENDA • An Overview to Big Data Analytics • Data Privacy & Security • Other Concerns • Conclusion

3. Overview of Big Data "The goal is to turn data into information, and information into insight.” – Carly Fiorina, former chief executive of Hewlett-Packard Company.

4. Big Data Analytic Techniques “The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.” - Hal R. Varian – Economist, UC Berkeley School of Information

5. Expected Values From Big Data Analytics

6. PRESENTATION AGENDA • An Overview to Big Data Analytics • Data Privacy & Security • Other Concerns • Conclusion

7. Data Privacy Principle PRIVACY BY DESIGN make privacy part of the DNA of the organisation SECURE THE DATA only keep the data really required to do business with, and keep it as secure as possible RADICAL TRANSPARENCY inform customers about the data collect about them and what exactly it is used for SIMPLICITY BY DESIGN keep it simple and understandable for consumers;

8. Big Data and Infrastructure Security 1 APPLICATION ACCESS DATA INSIGHT DATA VISUALIZATION Ensuring privacy of data is a matter of defining and enforcing information security rules – not just rules about data collection, but about data use and retention. People should have the ability to manage the flow of their private information across massive, third-party analytical systems. DASHBOARD C Statistical Analysis Machine Learning Data Mining Language Processing 2 DATA ACCESS Large-Scale Data Storage & Data Management 3 DATA ENCRYPTION Web Data Extractor BIG DATA INFRA

9. Big Data and Personal Identifiable Identity Privacy protections aren’t enough any more. Big data analytics can compromise identity by allowing data-driven organisation to moderate and even determine who we are before we make up our own minds. We need to begin to think about the kind of big data predictions and inferences that we will allow, and the ones that we should not.

10. Big Data and Insights “Open Source Intelligence (OSINT) is form of intelligence collection management that involves finding, selecting and acquiring information from publicly available sources and analyzing it to produce actionable intelligence.”

11. PRESENTATION AGENDA • An Overview to Big Data Analytics • Data Privacy & Security • Other Concerns • Conclusion

12. Breached Data On the Internet

13. PRESENTATION AGENDA • An Overview to Big Data Analytics • Data Privacy & Security • Other Concerns • Conclusion

14. Conclusion