April 02 to 04 2018, Santa Clara, USA.

Speaker "Kaiqing Fan" Details

Name :
kaiqing fan
Company :
Title :
Developer Advocate
Topic :
Four Solutions to Mask Any Target PII Columns In Your Data Using SAS Enterprise Guide
Abstract :
Abstract Data security and confidentiality is always an important topic. Everybody knows the Cybersecurity Incident from Equifax in 2017. Until October 2, 2017, there are 2.5 million U.S. consumers potentially impacted. How to protect specified columns such as the personal identifiable information (PII) in a data file is becoming increasingly important in industries. Here are the four solutions for different levels of confidential information to mask columns or variables in a data file. They are generalized to be used on any columns in any data files. But these four solutions have different advantages and disadvantages, user can choose the one based on your appetite. Key words: Data Security and confidentiality, Encrypt, Confidential Columns, Data File, SAS MD5, SHA256, User Defined Method
Profile :

I am working in PNC Bank as a Sr. Software Engineer Developer for CCAR, DFAST and CECL using SAS, R and Python with Master degree of Statistics from University of Wyoming, Master degree of Applied Mathematics from New Orleans, Master degree of History from East China Normal University. Expert in statistical analysis, predictive modeling, machine learning using SAS, R and Python; Professional in handling big data, massive large data files, optimization of software engines, automation execution of software engines, hugely cutting of software engines' execution times.


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