Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

Abstract Information systems need to process a large amount of event monitoring data. The
process of finding the relationships between events is called correlation, which creates a …

Detecting anomalous events in online computer systems is crucial to protect the systems
from malicious attacks or malfunctions. System logs, which record detailed information of …

Log anomaly detection on edge devices is the key to enhance edge security when
deploying IoT systems. Despite the success of many newly proposed deep learning based …

As the typical peer-to-peer distributed networks, blockchain systems require each node to
copy a complete transaction database, so as to ensure new transactions can by verified …

In the past several years, remarkable achievements have been made in the field of object
detection. Although performance is generally improving, the accuracy of small object …

Abstract System logs record detailed information about system operation and are important
for analyzing the system's operational status and performance. Rapid and accurate …

Recently, wireless sensor networks (WSNs) have been extensively deployed to monitor
environments. Sensor nodes are susceptible to fault generation due to hardware and …

Anomaly detection for log sequences is a necessary task for system intelligent operation and
fault diagnosis. In a log sequence, adjacent logs have the property of local correlation, while …

Resistance to standard and novel therapies remains the main obstacle to cure in acute
myeloid leukaemia (AML) and is often driven by metabolic adaptations which are …