Title
Locality-Based Server Profiling For Intrusion Detection
Keywords
Computer network security; Intrusion detection; Local area networks; Network servers
Abstract
Detection of intrusion on network servers plays an ever more important role in network security. This paper investigates whether analysis of incoming connection behavior for properties of locality can be used to create a normal profile for network servers. Intrusions can then be detected due to their abnormal behavior. Experiments show that connections to a typical network server do in fact exhibit locality, and attacks can be detected through their violation of locality. © 2008 Springer-Verlag Berlin Heidelberg.
Publication Date
7-1-2008
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
5075 LNCS
Number of Pages
205-216
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-540-69304-8_21
Copyright Status
Unknown
Socpus ID
45849131310 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/45849131310
STARS Citation
Lee, Robert and Lang, Sheau Dong, "Locality-Based Server Profiling For Intrusion Detection" (2008). Scopus Export 2000s. 10322.
https://stars.library.ucf.edu/scopus2000/10322