Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Finding the cause for congested virtual private network (VPN) links that connect an office network over the Internet to remote subsidiaries can be a hassle. Scan traffic of worm i...
To protect process control networks from cyber intrusions, preventive security measures such as perimeter defenses (for example, network firewalls and demilitarized zones) and se...