Design and Implementation of Data-at-Rest Encryption for Hadoop
The security aspects in Cloud computing is paramount in order to ensure high quality of Service Level Agreement (SLA) to the cloud computing customers. This issue is more apparent when very large amount of data is involved in this emerging computing environment. Hadoop is an open source software f...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/979/1/FH03-FIK-18-12926.pdf http://eprints.unisza.edu.my/979/ |
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| Summary: | The security aspects in Cloud computing is paramount in order to ensure high quality of Service Level Agreement (SLA) to
the cloud computing customers. This issue is more apparent when very large amount of data is involved in this emerging
computing environment. Hadoop is an open source software framework that supports large data sets storage and processing
in a distributed computing environment and well-known implementation of Map Reduce. Map Reduce is one common
programming model to process and handle a large amount of data, specifically in big data analysis. Further, Hadoop
Distributed File System (HDFS) is a distributed, scalable and portable file system that is written in java for Hadoop
framework. However, the main problem is that the data at rest is not secure where intruders can steal or converts the data
stored in this computing environment. Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the
security of data stored in HDFS. It is shown that the implementation of AES encryption algorithm is capable to secure data
stored in HDFS to some extent. |
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