With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …

With the rapid development of ambient intelligence (AmI) in the Internet of Things (IoT),
many data streams are generated from sensing devices in intelligent scenarios. Due to the …

Machine learning has become a promising technology for anomaly detection of cyber-
physical systems (CPSs). However, the trained anomaly detection models always suffer from …

IoT devices are rapidly being used in everyday life. However, many of these devices are
susceptible as a result of insecure design, implementation, and setup. As a consequence …

Oddity detection identifies strange events or observations that are statistically distinct from
the rest of the data and can cause concern. The paper proposes a method to find oddities …

Operational systems are crucial for corporations. A majority of the business processes flow
through these systems and even minor downtimes on these systems may cause serious …

Network intrusion detection is an indispensable defense in the critical era fulling of
cyberattacks. However, it faces a severe class imbalanced issue, and most of the researches …

Anomaly detection models for network flow based on machine learning have poor detection
performance under extremely unbalanced training data conditions, and also have slow …