Enormous data are continuously collected by the structural health monitoring system of civil
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …

Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems
(NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor system …

Large-scale hosting infrastructures require automatic system anomaly management to
achieve continuous system operation. In this paper, we present a novel adaptive runtime …

In recent years, there is a growing interest about assisted living environments especially for
the elderly who live alone, due to the increasing number of aged people. In order for them to …

As computer systems become increasingly complex, system anomalies have become major
concerns in system management. In this paper, we present a comprehensive measurement …

The delay-tolerant-network (DTN) model is becoming a viable communication alternative to
the traditional infrastructural model for modern mobile consumer electronics equipped with …

Real-time network-and host-based Anomaly Detection Systems (ADSs) transform a
continuous stream of input data into meaningful and quantifiable anomaly scores. These …

With the rapid growth of security threats in computer networks, the need for developing
efficient security‐warning systems is substantially increasing. Distributed denial‐of‐service …

Network traffic exhibits a high level of variability over short periods of time. This variability
impacts negatively on the accuracy of anomaly-based network intrusion detection systems …

We consider the problem of detecting host-level attacks in network traffic using unsupervised
learning. We model the normal behavior of a host's traffic from its signature logs, and flag …