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ThinkMind // ICNS 2020, The Sixteenth International Conference on Networking and Services // View article icns_2020_1_100_18007
Towards Securing Big Data on Software Defined Network: Performance Aware Architecture Design
 Authors:
Ahmed Alghamdi Keywords: Big Data; Big data security; Hadoop; Software Defined Network Abstract:
Big data security and privacy have been the main concern because many organizations have started to depend on big data for their operations. Big data refers to a large amount of structure and unstructured data that has been defined differently, but, in general, this term refers to the collection of data sets, which has special characteristics. Big data security faces the need to protect sensitive data by using different technologies and policies. It has been argued that there is no comprehensive security solution for big data, however, to achieve this comprehensive solution, parts of big data should be protected and secured. In addition, Software Defined Network (SDN) has gained more interest due to its advantages in improving network management, as well as monitoring with more programmability and better network resource utilization. Many researches have been done in this field, but the trade-off between security and performance has not been considered, especially considering SDN. In this paper, an architecture design is proposed for big data security, which considers security and performance trade-off. The proposed architecture is based on giving each part of big data the proper security mechanism to protect them efficiently, which not only improves the performance, but also saves resources. Pages: 66 to 72 Copyright: Copyright (c) IARIA, 2020 Publication date: September 27, 2020 Published in: conference ISSN: 2308-4006 ISBN: 978-1-61208-786-3 Location: Lisbon, Portugal Dates: from September 27, 2020 to October 1, 2020
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