Book Image

Securing Hadoop

By : Sudheesh Narayan
Book Image

Securing Hadoop

By: Sudheesh Narayan

Overview of this book

Security of Big Data is one of the biggest concerns for enterprises today. How do we protect the sensitive information in a Hadoop ecosystem? How can we integrate Hadoop security with existing enterprise security systems? What are the challenges in securing Hadoop and its ecosystem? These are the questions which need to be answered in order to ensure effective management of Big Data. Hadoop, along with Kerberos, provides security features which enable Big Data management and which keep data secure. This book is a practitioner's guide for securing a Hadoop-based Big Data platform. This book provides you with a step-by-step approach to implementing end-to-end security along with a solid foundation of knowledge of the Hadoop and Kerberos security models. This practical, hands-on guide looks at the security challenges involved in securing sensitive data in a Hadoop-based Big Data platform and also covers the Security Reference Architecture for securing Big Data. It will take you through the internals of the Hadoop and Kerberos security models and will provide detailed implementation steps for securing Hadoop. You will also learn how the internals of the Hadoop security model are implemented, how to integrate Enterprise Security Systems with Hadoop security, and how you can manage and control user access to a Hadoop ecosystem seamlessly. You will also get acquainted with implementing audit logging and security incident monitoring within a Big Data platform.
Table of Contents (15 chapters)
Securing Hadoop
About the Author
About the Reviewers


In this chapter, we looked at the Kerberos authentication protocol and understood the key concepts involved in implementing Kerberos. We understood the default security implementation in Hadoop and how a Hadoop process gets the logged in user and group details. The default security implementation has many gaps and can't be used in production.

In a production scenario, securing Hadoop with Kerberos is essential. So we looked at the requirements that Hadoop supports at the user and Hadoop service level to secure the Hadoop cluster. We looked at the various internal secret keys (Delegation Token, Block Access Token, and Job Token) that are exchanged by the various Hadoop processes to ensure a secured ecosystem. Understanding the need and use of these tokens is vital to debug and troubleshoot any configuration issues in a secured Hadoop cluster. In the next chapter we will detail the procedure for securing a Hadoop cluster.