With the increasing amount of network throughput and security threat, the study of intrusion
detection systems (IDSs) has received a lot of attention throughout the computer science …

To ensure undisrupted business, large Internet companies need to closely monitor various
KPIs (eg, Page Views, number of online users, and number of orders) of its Web …

Event labeling is the process of marking events in unlabeled data. Traditionally, this is done
by involving one or more human experts through an expensive and time-consuming task. In …

The anomalies of microservice invocation traces (traces) often indicate that the quality of the
microservice-based large software service is being impaired. However, timely and …

Closely monitoring service performance and detecting anomalies are critical for Internet-
based services. However, even though dozens of anomaly detectors have been proposed …

The rapid industrial growth in solar energy is gaining increasing interest in renewable power
from smart grids and plants. Anomaly detection in photovoltaic (PV) systems is a demanding …

Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult
due to the lack of ground truth. The goal of the present article is to assist researchers in the …

Timely anomaly detection of key performance indicators (KPIs), eg, service response time,
error rate, is of utmost importance to Web services. Over the years, many unsupervised deep …

To ensure undisrupted web-based services, operators need to closely monitor various KPIs
(Key Performance Indicator, such as CPU usages, network throughput, page views, number …

Traffic anomalies contain existing abnormal changes in network traffic, which are derived
from malicious and anomalous behaviors of users or network devices, such as network …