Results
eNauka >
Results >
Application of Hybrid Incremental Machine Learning Methods to Anomaly Based Intrusion Detection
| Title: | Application of Hybrid Incremental Machine Learning Methods to Anomaly Based Intrusion Detection | Authors: | Adamović, Saša   ; Jevremović, Aleksandar ; Milosavljević, Milan ; Miškovic, Vladislav |
Issue Date: | 2014 | Publication: | Proceedings of 1st International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2014 | Publisher: | Etran, Srbija | Type: | Conference Paper | ISBN: | 978-86-80509-70-9  Search Idenfier |
Collation: | str. VII2.3.1-6 | URI: | http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/2543 https://enauka.gov.rs/handle/123456789/550094 |
URL: | https://www.researchgate.net/publication/266946420_Application_of_Hybrid_Incremental_Machine_Learning_Methods_to_Anomaly_Based_Intrusion_Detection https://www.academia.edu/19756322/Application_of_hybrid_incremental_machine_learning_methods_to_anomaly_based_intrusion_detection |
Metadata source: | Migracija | M-category: | Mp. category will be shown later |
Google ScholarTM
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.