MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network

Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost

(2020) Amin Shahraki et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems

(2015) Adel Sabry Eesa et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detection

(2015) Johan Mazel et al.   International Journal of Network Management

Mining network data for intrusion detection through combining SVMs with ant colony networks

(2013) Wenying Feng et al.   Future Generation Computer Systems-The International Journal of eScience

ADMIRE: Anomaly detection method using entropy-based PCA with three-step sketches

(2012) Yoshiki Kanda et al.   COMPUTER COMMUNICATIONS

Anomaly Extraction in Backbone Networks Using Association Rules

(2012) Daniela Brauckhoff et al.   IEEE-ACM TRANSACTIONS ON NETWORKING

Histogram-based traffic anomaly detection

(2010) Andreas Kind et al.   IEEE Transactions on Network and Service Management