Name
Abstract | ||
|---|---|---|
Misuse detection is often based on file permissions. That is, each authorized user can only access certain files. Predetermining the mapping of documents to allowable users, however, is highly difficult in large document collections. Initially, we utilized information retrieval techniques to warn of potential misuse. Here, we describe some data mining extensions used in our detection approach. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427995_69 | ISI |
Keywords | Field | DocType |
large document collection,allowable user,information retrieval system,data mining extension,information retrieval technique,authorized user,misuse detection,detecting misuse,file permission,detection approach,certain file,potential misuse,data mining technique,data mining,information retrieval | Data mining,Human–computer information retrieval,Information retrieval,Computer science,Data Mining Extensions,Misuse detection | Conference |
Volume | ISSN | ISBN |
3495 | 0302-9743 | 3-540-25999-6 |
Citations | PageRank | References |
2 | 0.50 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nazli Goharian | 1 | 460 | 49.93 |
| Ling Ma | 2 | 50 | 5.36 |
| Chris Meyers | 3 | 2 | 0.50 |