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Research at Burgas Free University >
2. Издания на БСУ от международни конференции / Collection of Papers of BFU from International Conferences >
2011. Взаимодействието теория - практика: Ключови проблеми и решения. Том 1 >
Please use this identifier to cite or link to this item:
http://research.bfu.bg:8080/jspui/handle/123456789/246
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| Title: | An adaptive KNN algorithm for anomaly intrusion detection |
| Authors: | Jecheva, Veselina
Nikolova, Evgeniya |
| Keywords: | Intrusion Detection
Anomaly Based IDS
kd Trees
KNN algorithm
String Metrics |
| Issue Date: | 2011 |
| Publisher: | Burgas Free University, 62, San Stefano Str., 8001 Burgas, Bulgaria |
| Citation: | International research conference ,“Interaction of theory and practice: key problems and solutions”, Burgas, 24 - 25 june 2011 |
| Series/Report no.: | BFU_MK_2011_TOM_III;str-227 |
| Abstract: | Intrusion detection is the process of monitoring the activity in the target system and analyzing it for intrusive activity. The purpose of the present paper is to create a methodology for the anomaly-based intrusion detection, which is grounded on the kd trees for the description of the system activity and the k-Nearest Neighbor algorithm during the intrusion detection phase, as well as the evaluations of the results. |
| Description: | International research conference 2011 |
| URI: | http://research.bfu.bg:8080/jspui/handle/123456789/246 |
| ISBN: | 978-954-9370-80-5 |
| Appears in Collections: | 2011. Взаимодействието теория - практика: Ключови проблеми и решения. Том 1
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