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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Antunes, J. Neves, N.F. |
| Copyright Year | 2011 |
| Abstract | Some software faults, namely security vulnerabilities, tend to elude conventional testing methods. Since the effects of these faults may not be immediately perceived nor have a direct impact on the server's execution (e.g., a crash), they can remain hidden even if exercised by the test cases. Our detection approach consists in inferring a behavioral profile of a network server that models its correct execution by combining information about the implemented state machine protocol and the server's internal execution. Flaws are automatically detected if the server's behavior deviates from the profile while processing the test cases. This approach was implemented in a tool, which was used to analyze several FTP vulnerabilities, showing that it can effectively find various kinds of flaws. |
| Starting Page | 1 |
| Ending Page | 10 |
| File Size | 732362 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781457720604 |
| ISSN | 10719458 |
| DOI | 10.1109/ISSRE.2011.35 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-29 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Servers Monitoring Protocols Testing Automata Network servers Data models Network Security Vulnerability Discovery Behavioral Profile Behavior Inference |
| Content Type | Text |
| Resource Type | Article |
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