دانلود مقاله ISI انگلیسی شماره 74047
ترجمه فارسی عنوان مقاله

چارچوب تصویب رایانش ابری: چارچوب امنیتی برای ابرهای کسب و کار

عنوان انگلیسی
Cloud computing adoption framework: A security framework for business clouds
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
74047 2016 18 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Future Generation Computer Systems, Volume 57, April 2016, Pages 24–41

ترجمه کلمات کلیدی
چارچوب تصویب رایانش ابری (CCAF)؛ OpenStack؛ CCAF چند لایه امنیتی؛ امنیت برای ابرهای کسب و کار
کلمات کلیدی انگلیسی
Cloud computing adoption framework (CCAF); OpenStack; CCAF multi-layered security; Security for business clouds
پیش نمایش مقاله
پیش نمایش مقاله  چارچوب تصویب رایانش ابری: چارچوب امنیتی برای ابرهای کسب و کار

چکیده انگلیسی

This article presents a cloud computing adoption framework (CCAF) security suitable for business clouds. CCAF multilayered 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 article presents the vision, related works, and views on security framework. Core technologies have been explained in detail, and experiments were designed to demonstrate the robustness of the CCAF multilayered security. In penetration testing, CCAF multilayered security could detect and block 99.95% viruses and trojans, and could achieve ≥85%≥85% of blocking for 100 h of continuous attack. Detection and blocking took <0.012s/trojan or virus. A full CCAF multilayered security protection could block all SQL (structured query language) injection, providing real protection to data. CCAF multilayered security did not report any false alarm. All FF-measures for CCAF test results were ≥99.75%≥99.75%. The mechanism of blending of CCAF multilayered security with policy, real services, and business activities has been illustrated. Research contributions have been justified and CCAF multilayered security can be beneficial for volume, velocity, and veracity of big data services operated in the cloud.