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Tuesday, May 10 • 2:00pm - 2:50pm
Apache Kerby for Big Data Security - Kai Zheng, Intel

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Big Data platform based on Apache Hadoop presents numerous security, compliance, and integration challenges in both enterprise and Internet domains. This session will present a new, comprehensive authentication solution through using Apache Kerby in Hadoop, allowing everyone can be connected everywhere in the ecosystem, in a low-risk yet secure manner, as incurred in and benefit from Kerberos. Apache Kerby is a sub-project to the Apache Directory since Jan 2015. It is an implementation of Kerberos in Java and will provide rich, intuitive and interoperable library and facilities that integrate multiple authentication mechanisms including PKINIT, OTP and token (OAuth2.0). We will introduce and discuss the solution, state of community development, highlighted features, and roadmap. We will also show the demo and explain how Kerby’s embedded nature can be leveraged in Hadoop.


Kai Zheng

Kai is a senior software engineering in Intel that works in big data and security fields for quite a few of years. He is a key Apache Kerby initiator, Directory PMC member and Apache Hadoop committer.

Tuesday May 10, 2016 2:00pm - 2:50pm PDT
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