ADAM: Detecting Intrusions by Data Mining
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- OpenAlex ID W7097733084
- Type Conference-paper
- Language EN
- Published 01 Jan 2001
- Added 27 Oct 2025
- Updated 13 Oct 2026
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ADAM: Detecting Intrusions by Data Mining
Conference-paper 2001 EN
Abstract — Intrusion detection systems have traditionally been based on the characterization of an attack and the tracking of the activity on the system to see if it matches that characterization. Recently, new intrusion detection systems based on data mining are making their appearance in the field. This paper describes the design and experiences with the ADAM ( Audit Data Analysis and Mining) sy…
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5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Daniel Barbará | — | — |
| 2 | Julia Couto | — | — |
| 3 | Sushil Jajodia | — | |
| 4 | Leonard J. Popyack | — | — |
| 5 | Ningning Wu | — | — |
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