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| Content Provider | ACM Digital Library |
|---|---|
| Author | Huh, Jun Ho Montanari, Mirko Choi, Yoonjoo Dagit, Derek Bobba, Rakesh B. Kim, Dong Wook Campbell, Roy |
| Abstract | Virtual appliances (VAs) are ready-to-use virtual machine images that are configured for specific purposes. For example, a virtual machine image that contains all the software necessary to develop and host a JSP-based website is typically available as a "Java Web Starter" VA. Currently there are many VA repositories from which users can download VAs and instantiate them on Infrastructure-as-a-Service (IaaS) clouds, allowing them to quickly launch their services. This marketplace, however, lacks adequate mechanisms that allow users to a priori assess whether a specific VA is really configured with the software that it is expected to be configured with. This paper evaluates the integrity of software packages installed on real-world VAs, through the use of a software whitelist-based framework, and finds that indeed there is a lot of variance in the software integrity of packages across VAs. Analysis of 151 Amazon VAs using this framework shows that about 9% of real-world VAs have significant numbers of software packages that contain unknown files, making them potentially untrusted. Virus scanners flagged just half of the VAs in that 9% as malicious, demonstrating that virus scanning alone is not sufficient to help users select a trustable VA and that a priori software integrity assessment has a role to play. |
| Starting Page | 231 |
| Ending Page | 242 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781450317672 |
| DOI | 10.1145/2484313.2484343 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-05-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Virtual appliances Whitelists Software integrity Iaas |
| Content Type | Text |
| Resource Type | Article |
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