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| Content Provider | ACM Digital Library |
|---|---|
| Author | Metzler, Patrick Taha, Ahmed Trapero, Ruben Luna, Jesus Suri, Neeraj |
| Abstract | Security concerns are often mentioned amongst the reasons why organizations hesitate to adopt Cloud computing. Given that multiple Cloud Service Providers (CSPs) offer similar security services (e.g., "encryption key management") albeit with different capabilities and prices, the customers need to comparatively assess the offered security services in order to select the best CSP matching their security requirements. However, the presence of both explicit and implicit dependencies across security related services add further challenges for Cloud customers to (i) specify their security requirements taking service dependencies into consideration and (ii) to determine which CSP can satisfy these requirements. We present a framework to address these challenges. For challenge (i), our framework automatically detects conflicts resulting from inconsistent customer requirements. Moreover, our framework provides an explanation for the detected conflicts allowing customers to resolve these conflicts. To tackle challenge (ii), our framework assesses the security level provided by various CSPs and ranks the CSPs according to the desired customer requirements. We demonstrate the framework's effectiveness with real-world CSP case studies derived from the Cloud Security Alliance's Security, Trust and Assurance Registry. |
| Starting Page | 329 |
| Ending Page | 340 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781450342339 |
| DOI | 10.1145/2897845.2897911 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-05-30 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Security quantification Cloud security Services dependencies Security service level agreements |
| Content Type | Text |
| Resource Type | Article |
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