ADAM: Detecting Intrusions by Data Mining

Emerging


0
Citations
0
Refs
2001
Year
Search Works
Work Details
  • OpenAlex ID W7097733084
  • Type Conference-paper
  • Language EN
  • Published 01 Jan 2001
  • Added 27 Oct 2025
  • Updated 13 Oct 2026
MENU
0

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…

0

Citations

0

References

5

Authors

0.00

FWCI

Topics
Keywords
Authors & Affiliations
5 authors
#AuthorInstitutionsORCID
1 Daniel Barbará — —
2 Julia Couto — —
3 Sushil Jajodia —
4 Leonard J. Popyack — —
5 Ningning Wu — —

Data: OpenAlex