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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Authentication in Hadoop

Authentication in Hadoop can either be simple or in Kerberos. Hadoop also allows you to have your custom authentication scheme. In this section, we will look at Kerberos authentication and how the HTTP Hadoop interfaces can be secured via authentication.

Kerberos authentication

Kerberos is a network authentication protocol. It uses cryptography to provide a highly secure authentication mechanism. This authentication mechanism is popular because of its features, which are as follows:

  • Mutual authentication: Both the client and server can mutually authenticate each other before proceeding with a session.
  • Single login per session: Once a login happens, tokens with certain time validities are issued for usage. The duration of token validity defines the maximum length of the session.
  • Protocol message encryption: All protocol messages during authentication are encrypted. It is not possible to conduct any man-in-the-middle or replay attacks by an adversary.

The Kerberos architecture...

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