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

Chapter 5. Integrating Hadoop with Enterprise Security Systems

In the previous chapter, we looked at how to establish Kerberos authentication for the Hadoop ecosystem components. Establishing the authentication is only the first step towards providing secured access to the Hadoop ecosystem. In this chapter, we will focus on centrally managing the authentication and authorization of the various Hadoop users, and address the various challenges for integrating the Enterprise Security Systems with a secured Hadoop cluster.

Once Hadoop users are centrally managed, there is a need for these users to directly access and work on the Hadoop cluster. However, Hadoop service daemons use multiple communication protocols to communicate with each other. This requires multiple unsecured ports to be opened between the cluster machines. This brings in a security concern for the organization deploying Hadoop. So, usually, Hadoop clusters are isolated in a separate network and user access is only provided through...