Anomaly-based network intrusion detection: An outlier detection techniques
Abstract A robust Network Intrusion Detection System (NIDS) has become the need of
today's era. To provide a robust mechanism require to distinguish between normal and …
today's era. To provide a robust mechanism require to distinguish between normal and …
[PDF][PDF] Outlier detection methods for identifying network intrusions—A survey
JR Beulah, DS Punithavathani - International Journal of Applied …, 2015 - researchgate.net
Network intrusion detection is a dynamic research area as intruders or attackers have
increased attacks on all kinds of networking set-ups. In the field of data mining, outlier …
increased attacks on all kinds of networking set-ups. In the field of data mining, outlier …
An efficient local outlier detection optimized by rough clustering
C She, S Zeng - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
Outlier detection is a hot issue in data mining, which has plenty of real-world applications.
LOF (Local Outlier Factor) can capture the abnormal degree of objects in the dataset with …
LOF (Local Outlier Factor) can capture the abnormal degree of objects in the dataset with …
[PDF][PDF] Addis Ababa Institute of Technology School of Electrical and Computer Engineering
AK Alemu - 2019 - scholar.archive.org
Mobile broadband services are undergoing a period of dramatic growth causing a
tremendous increase in data traffic. One main reason for this rise of traffic is being driven by …
tremendous increase in data traffic. One main reason for this rise of traffic is being driven by …