Abstract. An epidemic is malicious code running on a subset of a community, a homogeneous set of instances of an application. Syzygy is an epidemic detection framework that looks f...
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...
—Rule-based filters are sequences of rules formed of a condition and a decision. Rules are applied sequentially up to the first fulfilled condition, whose matching decision de...
Many embedded systems are subject to temporal constraints that require advance guarantees on meeting deadlines. Such systems rely on static analysis to safely bound worst-case exe...
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...