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Cloud Computing Adoption Framework – a security framework for business clouds

Cloud Computing Adoption Framework – a security framework for business clouds
Cloud Computing Adoption Framework – a security framework for business clouds
This paper presents a Cloud Computing Adoption Framework (CCAF) security suitable for business clouds. CCAF multi-layered security is based on the development and integration of three major security technologies: firewall, identity management and encryption based on the development of Enterprise File Sync and Share technologies. This paper presents our motivation, related work and our views on security framework. Core technologies have been explained in details and experiments were designed to demonstrate the robustness of the CCAF multi-layered security. In penetration testing, CCAF multi-layered security could detect and block 99.95% viruses and trojans and could maintain 85% and above of blocking for 100 hours of continuous attacks. Detection and blocking took less than 0.012 second per trojan and viruses. A full CCAF multi-layered security protection could block all SQL injection providing real protection to data. CCAF multi-layered security had 100% rate of not reporting false alarm. All F-measures for CCAF test results were 99.75% and above. How CCAF multi-layered security can blend with policy, real services and blend with business activities have been illustrated. Research contributions have been justified and CCAF multi-layered security can offer added value for volume, velocity and veracity for Big Data services operated in the Cloud.
Cloud Computing Adoption Framework (CCAF), OpenStack, CCAF multi-layered security, security for business clouds
24-41
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Kuo, Yen-Hung
e6751c03-8f0f-41ed-8090-4a3f60d1de7f
Ramachandran, Muthu
2130f62e-6f28-40ea-8c81-cb0beba747c8
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Kuo, Yen-Hung
e6751c03-8f0f-41ed-8090-4a3f60d1de7f
Ramachandran, Muthu
2130f62e-6f28-40ea-8c81-cb0beba747c8

Chang, Victor, Kuo, Yen-Hung and Ramachandran, Muthu (2016) Cloud Computing Adoption Framework – a security framework for business clouds. Future Generation Computer Systems, 57, 24-41. (doi:10.1016/j.future.2015.09.031).

Record type: Article

Abstract

This paper presents a Cloud Computing Adoption Framework (CCAF) security suitable for business clouds. CCAF multi-layered security is based on the development and integration of three major security technologies: firewall, identity management and encryption based on the development of Enterprise File Sync and Share technologies. This paper presents our motivation, related work and our views on security framework. Core technologies have been explained in details and experiments were designed to demonstrate the robustness of the CCAF multi-layered security. In penetration testing, CCAF multi-layered security could detect and block 99.95% viruses and trojans and could maintain 85% and above of blocking for 100 hours of continuous attacks. Detection and blocking took less than 0.012 second per trojan and viruses. A full CCAF multi-layered security protection could block all SQL injection providing real protection to data. CCAF multi-layered security had 100% rate of not reporting false alarm. All F-measures for CCAF test results were 99.75% and above. How CCAF multi-layered security can blend with policy, real services and blend with business activities have been illustrated. Research contributions have been justified and CCAF multi-layered security can offer added value for volume, velocity and veracity for Big Data services operated in the Cloud.

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CCAF_VC_openstack_accepted.pdf - Accepted Manuscript
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More information

Published date: 1 April 2016
Keywords: Cloud Computing Adoption Framework (CCAF), OpenStack, CCAF multi-layered security, security for business clouds
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 382704
URI: http://eprints.soton.ac.uk/id/eprint/382704
PURE UUID: be6d66a7-9c5b-4bbe-9618-635368e675c3

Catalogue record

Date deposited: 09 Oct 2015 10:47
Last modified: 14 Mar 2024 21:31

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Contributors

Author: Victor Chang
Author: Yen-Hung Kuo
Author: Muthu Ramachandran

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