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https://issues.apache.org/jira/browse/HADOOP-10150?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14155023#comment-14155023
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Hudson commented on HADOOP-10150:
---------------------------------

FAILURE: Integrated in Hadoop-trunk-Commit #6163 (See 
[https://builds.apache.org/job/Hadoop-trunk-Commit/6163/])
Fix up CHANGES.txt for HDFS-6134, HADOOP-10150 and related JIRAs following 
merge to branch-2 (arp: rev 2ca93d1fbf0fdcd6b4b5a151261052ac106ac9e1)
* hadoop-mapreduce-project/CHANGES.txt
* hadoop-common-project/hadoop-common/CHANGES.txt
* hadoop-hdfs-project/hadoop-hdfs/CHANGES.txt


> Hadoop cryptographic file system
> --------------------------------
>
>                 Key: HADOOP-10150
>                 URL: https://issues.apache.org/jira/browse/HADOOP-10150
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: security
>    Affects Versions: 3.0.0
>            Reporter: Yi Liu
>            Assignee: Yi Liu
>              Labels: rhino
>             Fix For: 2.6.0
>
>         Attachments: CryptographicFileSystem.patch, HADOOP cryptographic file 
> system-V2.docx, HADOOP cryptographic file system.pdf, 
> HDFSDataAtRestEncryptionAlternatives.pdf, 
> HDFSDataatRestEncryptionAttackVectors.pdf, 
> HDFSDataatRestEncryptionProposal.pdf, cfs.patch, extended information based 
> on INode feature.patch
>
>
> There is an increasing need for securing data when Hadoop customers use 
> various upper layer applications, such as Map-Reduce, Hive, Pig, HBase and so 
> on.
> HADOOP CFS (HADOOP Cryptographic File System) is used to secure data, based 
> on HADOOP “FilterFileSystem” decorating DFS or other file systems, and 
> transparent to upper layer applications. It’s configurable, scalable and fast.
> High level requirements:
> 1.    Transparent to and no modification required for upper layer 
> applications.
> 2.    “Seek”, “PositionedReadable” are supported for input stream of CFS if 
> the wrapped file system supports them.
> 3.    Very high performance for encryption and decryption, they will not 
> become bottleneck.
> 4.    Can decorate HDFS and all other file systems in Hadoop, and will not 
> modify existing structure of file system, such as namenode and datanode 
> structure if the wrapped file system is HDFS.
> 5.    Admin can configure encryption policies, such as which directory will 
> be encrypted.
> 6.    A robust key management framework.
> 7.    Support Pread and append operations if the wrapped file system supports 
> them.



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