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
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 7. Security Event and Audit Logging in Hadoop

In Chapter 6, Securing Sensitive Data in Hadoop, we looked at the approach to secure sensitive data in a Hadoop cluster, and how we could implement block-level encryption to protect sensitive data. In this chapter, we look at security incidents and event monitoring that needs to be implemented in a secured Hadoop cluster. We then discussed the best practices in security procedures and policies that need to be adopted to secure the Hadoop ecosystem and how some of these policies can be configured as rules in the security event and audit logging system.

A Hadoop cluster in production hosts sensitive customer information. Security of data assets is of prime importance for organizations to have a successful big data journey. While we focus on ensuring that the Hadoop cluster is secured through various measures such as enforcing perimeter security, Kerberos authentication, and authorization, there is always a possibility of security breaches...