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Enhancing security elements for MapReduce processing with whitelist

Sabtu, Adilah and Mohd Azmi, Nurulhuda Firdaus (2017) Enhancing security elements for MapReduce processing with whitelist. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur.

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Big data requires new ways and technologies of how data is harnessed, managed and applied to create values that offer insights for better decision making. An exploration of MapReduce model which reliably accommodates big data processing requirements reveals that data traversing through nodes inside clusters during processing are exposed to security and privacy breaches.Further examination identifies elements in security task that impact MapReduce challenges.This paper concerns with the experimentation on how Whitelist access control element can enhance security within MapReduce environment using Hadoop platform.Datasets are executed through series of Whitelist coding/scripts.The enhancement is measured on a basis of Whitelist capability and effectiveness of reducing False Positive Rate error in different scenarios, comparing different sizes of applied Whitelists, key strengths used for filtering and the execution time.The results yield reduced False Positive Rate for Whitelist, supporting claim of an enhanced security but the execution time have increased, indicating lower overall performance.

Item Type: Conference or Workshop Item (Paper)
Additional Information: EISSN 2289-7402 E-ISBN 978-967-0910-33-8 Organized by: School of Computing, Universiti Utara Malaysia
Uncontrolled Keywords: Big Data Programming, Hadoop Platform, MapReduce, Data Security, Whitelist
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 26 Jul 2017 07:35
Last Modified: 26 Jul 2017 07:35
URI: http://repo.uum.edu.my/id/eprint/22794

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