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Access Control for Sensitive Data in Hadoop Distributed File Systems

Authors:
Yenumula Reddy

Keywords: Hadoop systems; access control; distributed file systems; MapReduce; network environment.

Abstract:
User access limitations are very important in Hadoop distributed file systems to access the sensitive and personal data. Even though, user has access to database, the access limit check is very important at the time for MapReduce to control the user to receive only permissible data. Data nodes do not enforce any access control on its access to the data blocks (read or write). Therefore, Kerberos ticket granting for user login and user access permissions to MapReduce jobs do not limit the unauthorized data to access in the same database. In addition, to secure the data during processing, the authentication and authorization of data is required. The problems broadly include a) who will access data, b) how it will be encrypted and c) stability of data processing while data continuously growing. The study includes the security mechanisms currently available in in Hadoop systems, requirements of access control mechanisms, and change of access control depending upon the sensitivity of data. An example of hospital and patients is used to develop our theory.

Pages: 72 to 78

Copyright: Copyright (c) IARIA, 2013

Publication date: November 17, 2013

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-310-0

Location: Lisbon, Portugal

Dates: from November 17, 2013 to November 21, 2013