Design and Implementation of Data-at-Rest Encryption for Hadoop

Wan Nor Shuhadah, Wan Nik and Mohamad Afendee, Mohamed and Zarina, Mohamad and Siti Hanisah, Kamaruzaman (2017) Design and Implementation of Data-at-Rest Encryption for Hadoop. In: International Conference on Informatics, Computing & Applied Mathematics (ICICAM2017), 7 October 2017, Kuala Terengganu.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Informatics & Computing
Depositing User: Muhammad Akmal Azhar
Date Deposited: 04 Nov 2020 01:32
Last Modified: 04 Nov 2020 01:32

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