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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gadang, S.S. Panda, B. Hoag, J.E. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. of Arkansas, Fayetteville, AK (Gadang, S.S.; Panda, B.; Hoag, J.E.) |
| Abstract | Data provenance (information about the origin of data items and the transformations that they have gone through) can be a useful security tool, particularly for forensic investigation. Provenance information can also be used to enforce information assurance concepts like integrity and authenticity. The current techniques for finding data source and lineage information are annotations and query inversion. Annotations lack scalability and require additional space for storing and querying provenance information, while query inversion incurs more time and processing overhead. In this paper, we offer fast and scalable models for computing source information, each of which are based on associating bit vectors with data sources. |
| Starting Page | 132 |
| Ending Page | 137 |
| File Size | 320206 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769533247 |
| DOI | 10.1109/IAS.2008.47 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-08 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Data models Computational modeling Databases History Scalability Security Bit Vectors Data Provenance Data Source Data Lineage |
| Content Type | Text |
| Resource Type | Article |
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