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 …

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 …

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

Distributed storage can store data in multiple devices or servers to improve data security.
However, in today's explosive growth of network data, traditional distributed storage scheme …

In this article, we address the problem of detecting anomalies in system log files. Computer
systems generate huge numbers of events, which are noted in event log files. While most of …

This work compares the performance of different combinations of data sources for intrusion
detection in depth. To learn and distinguish between normal and malicious behavior, we use …

Anomaly detection from video surveillance inputs helps to improve security in crowded
places and outdoors. The captured image is analyzed to identify human faces, objects, and …

We introduce a method called evolving Log Parsing (eLP) to extract information granules
and an interval rule-based classification model from streams of words in unstructured log …

Abnormal data access operations in database systems always hap-pen, which are typically
incurred by misoperations or attacks, though these systems are enforced with strict access …

Colonoscopies allow surgeons to detect common diseases, that is, colorectal cancer, ulcers,
and other ailments. However, there is a risk of bleeding in the lower gastrointestinal (GI) tract …