Secure inter cloud data migration

Issa Khalil, Ismail Hababeh, Abdallah Khreishah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Cloud computing services are becoming more and more popular. However, the high concentration of data and services on the clouds make them attractive targets for various security attacks, including DoS, data theft, and privacy attacks. Additionally, cloud providers may fail to comply with service level agreement in terms of performance, availability, and security guarantees. Therefore, it is of paramount importance to have secure and efficient mechanisms that enable users to transparently copy and move their data from one provider to another. In this paper, we explore the state-of-the-art inter-cloud migration techniques and identify the potential security threats in the scope of Hadoop Distributed File System HDFS. We propose an inter-cloud data migration mechanism that offers better security guarantees and faster response time for migrating large scale data files in cloud database management systems. The performance of the proposed approach is validated by measuring its impact on response time and throughput, and comparing the performance to that of other techniques in the literature. The results show that our approach significantly improves the performance of HDFS and outperforms its counterparts.

Original languageEnglish (US)
Title of host publication2016 7th International Conference on Information and Communication Systems, ICICS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages62-67
Number of pages6
ISBN (Electronic)9781467386142
DOIs
StatePublished - May 20 2016
Event7th International Conference on Information and Communication Systems, ICICS 2016 - Irbid, Jordan
Duration: Apr 5 2016Apr 7 2016

Publication series

Name2016 7th International Conference on Information and Communication Systems, ICICS 2016

Other

Other7th International Conference on Information and Communication Systems, ICICS 2016
CountryJordan
CityIrbid
Period4/5/164/7/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Keywords

  • Data Migration
  • Encryption
  • HDFS

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