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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cavadini, S. Cheda, D. |
| Copyright Year | 2008 |
| Description | Author affiliation: INRIA Sophia Antipolis - Mediterranee, Sophia Antipolis (Cavadini, S.) |
| Abstract | Protecting sensitive information-credit card data, personal medical information, etc-is becoming an increasingly important issue due to ubiquity of computing systems. Traditionally, confidentiality of information is guaranteed by access control mechanisms, but there is a renewed interest in developing mechanisms that track how information flows during program execution. There are two established means to enforce information flow policies: static verification, and run-time or dynamic monitoring. Run-time monitoring is more flexible than static verification, since it permits running all programs and only reject unsecure executions; of course, the increased flexibility is mitigated by a degradation of runtime performance. This work presents two techniques for dynamic information flow monitoring. Unlike most of run-time monitors that rely on program rewriting techniques, these techniques use dynamic dependence graphs to track information flow at run-time. The proposed approaches scale to real languages and can cope with declassification annotations. |
| Starting Page | 586 |
| Ending Page | 591 |
| File Size | 390233 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769531021 |
| DOI | 10.1109/ARES.2008.152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-04 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Availability dependence graphs Data security Certification Information analysis information flow Computer languages Runtime security Information security Data flow computing Biomedical monitoring Protection |
| Content Type | Text |
| Resource Type | Article |
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