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https://issues.apache.org/jira/browse/HADOOP-8803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13464309#comment-13464309
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Luke Lu commented on HADOOP-8803:
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bq. The attacker just uses the compromised machine to dump network packet it 
can observe and fetch information

In switched networks, which all reasonable clusters are configured, you only 
see the traffic to/from the compromised NIC. The attacker would already have 
access to all the blocks local to the compromised node. Your block token will 
not realistically improve security in this case.

bq. Uniformly configured cluster would weak my proposal. But it is a 
implementation issue and it depends on how user implement Hadoop.

There are only a handful of viable OSes that can run Hadoop effectively. 
Managing a single Hadoop cluster with different OS (version doesn't matter that 
much) would be an admin's nightmare (unless of course they use vsphere :). It's 
not gonna happen in practice. OTOH, it might be useful to create different 
zones of DNs with a per zone secret key. Per host keys don't scale w.r.t to 
replicas.

bq. I feel that your goal is that try to make hadoop fully secured, no bad guys 
can get in. My goal is that how to reduce the damage if bad guys get in.

No, my point is that your proposal is based on unrealistic assumptions. It 
greatly increases the complexity of the system and negatively impact the 
performance, while not actually improve security tangibly in practice. This is 
not a good trade-off. 
                
> Make Hadoop running more secure public cloud envrionment
> --------------------------------------------------------
>
>                 Key: HADOOP-8803
>                 URL: https://issues.apache.org/jira/browse/HADOOP-8803
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: fs, ipc, security
>    Affects Versions: 0.20.204.0
>            Reporter: Xianqing Yu
>              Labels: hadoop
>   Original Estimate: 2m
>  Remaining Estimate: 2m
>
> I am a Ph.D student in North Carolina State University. I am modifying the 
> Hadoop's code (which including most parts of Hadoop, e.g. JobTracker, 
> TaskTracker, NameNode, DataNode) to achieve better security.
>  
> My major goal is that make Hadoop running more secure in the Cloud 
> environment, especially for public Cloud environment. In order to achieve 
> that, I redesign the currently security mechanism and achieve following 
> proprieties:
> 1. Bring byte-level access control to Hadoop HDFS. Based on 0.20.204, HDFS 
> access control is based on user or block granularity, e.g. HDFS Delegation 
> Token only check if the file can be accessed by certain user or not, Block 
> Token only proof which block or blocks can be accessed. I make Hadoop can do 
> byte-granularity access control, each access party, user or task process can 
> only access the bytes she or he least needed.
> 2. I assume that in the public Cloud environment, only Namenode, secondary 
> Namenode, JobTracker can be trusted. A large number of Datanode and 
> TaskTracker may be compromised due to some of them may be running under less 
> secure environment. So I re-design the secure mechanism to make the damage 
> the hacker can do to be minimized.
>  
> a. Re-design the Block Access Token to solve wildly shared-key problem of 
> HDFS. In original Block Access Token design, all HDFS (Namenode and Datanode) 
> share one master key to generate Block Access Token, if one DataNode is 
> compromised by hacker, the hacker can get the key and generate any  Block 
> Access Token he or she want.
>  
> b. Re-design the HDFS Delegation Token to do fine-grain access control for 
> TaskTracker and Map-Reduce Task process on HDFS. 
>  
> In the Hadoop 0.20.204, all TaskTrackers can use their kerberos credentials 
> to access any files for MapReduce on HDFS. So they have the same privilege as 
> JobTracker to do read or write tokens, copy job file, etc.. However, if one 
> of them is compromised, every critical thing in MapReduce directory (job 
> file, Delegation Token) is exposed to attacker. I solve the problem by making 
> JobTracker to decide which TaskTracker can access which file in MapReduce 
> Directory on HDFS.
>  
> For Task process, once it get HDFS Delegation Token, it can access everything 
> belong to this job or user on HDFS. By my design, it can only access the 
> bytes it needed from HDFS.
>  
> There are some other improvement in the security, such as TaskTracker can not 
> know some information like blockID from the Block Token (because it is 
> encrypted by my way), and HDFS can set up secure channel to send data as a 
> option.
>  
> By those features, Hadoop can run much securely under uncertain environment 
> such as Public Cloud. I already start to test my prototype. I want to know 
> that whether community is interesting about my work? Is that a value work to 
> contribute to production Hadoop?

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