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Saudi cloud infrastructure: a security analysis

  • Wahid Rajeh
  • Hai JinEmail author
  • Deqing Zou
Research Paper

Abstract

The growing demand and dependence upon cloud services have garnered an increasing level of threat to user data and security. Some of such critical web and cloud platforms have become constant targets for persistent malicious attacks that attempt to breach security protocol and access user data and information in an unauthorized manner. While some of such security compromises may result from insider data and access leaks, a substantial proportion continues to remain attributed to security flaws that may exist within the core web technologies with which such critical infrastructure and services are developed. This paper explores the direct impact and significance of security in the Software Development Life Cycle (SDLC) through a case study that covers some 70 public domain web and cloud platforms within Saudi Arabia. Additionally, the major sources of security vulnerabilities within the target platforms as well as the major factors that drive and influence them are presented and discussed through experimental evaluation. The paper reports some of the core sources of security flaws within such critical infrastructure by implementation with automated security auditing and manual static code analysis. The work also proposes some effective approaches, both automated and manual, through which security can be ensured through-out the SDLC and safeguard user data integrity within the cloud.

Keywords

cloud security vulnerability detection web security Saudi infrastructure cloud service 

Notes

Acknowledgements

This work was supported by Ministry of Higher Education in Saudi Arabia and National Basic Research Program of China (Grant No. 2014CB340600). Many thanks to the team from Cluster and Grid Computing Lab at Huazhong University and the staff from the Saudi Culture Mission in China for their immense support towards this research work.

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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Services Computing Technology and System Lab, Big Data Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina
  2. 2.School of Computers and Information TechnologyUniversity of TabukTabukSaudi Arabia

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