Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Niv Goldshlager"'
Publikováno v:
Entropy, Vol 25, Iss 5, p 820 (2023)
Machine learning-based Network Intrusion Detection Systems (NIDS) are designed to protect networks by identifying anomalous behaviors or improper uses. In recent years, advanced attacks, such as those mimicking legitimate traffic, have been developed
Externí odkaz:
https://doaj.org/article/13bc5a0dfa314a83a033c7fd81382015
Anomaly detection is a well-known task that involves the identification of abnormal events that occur relatively infrequently. Methods for improving anomaly detection performance have been widely studied. However, no studies utilizing test-time augme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c19b52190a9af9b155aa793c8cce32c7
http://arxiv.org/abs/2110.15700
http://arxiv.org/abs/2110.15700
