IoT devices are notoriously vulnerable even to trivial attacks and can be easily
compromised. In addition, resource constraints and heterogeneity of IoT devices make it …

The greatest threat towards securing the organization and its assets are no longer the
attackers attacking beyond the network walls of the organization but the insiders present …

Abstract Anomaly detection using KPIs (Key Performance Indicators) is a key part of AIOps
(Artificial Intelligence for IT Operations). Recent anomaly detection approaches have …

With the increasingly widespread application of Internet of Things (IoT), network attacks has
become a main threat of IoT devices' security. Due to the network traffic data is the carrier of …

The main themes that this thesis focuses on are anomaly detection, time series forecasting,
uncertainty quantification of said point forecasts using prediction intervals, and …

Anomaly detection of KPIs (key performance indicators) has been widely applied to
guarantee systems stability in real world. KPIs include response time of Web pages, CPU …

This paper aims to detect anomalies in target social media accounts. Previous work on
behalf of this topic includes bot detection applications with different types of methods …

This work discusses and compares different approaches and neural networks for sequence
classification, in a context of attack detection in web services. The first approach to attack …

Anomaly detection is the science of identifying one or more rare or unexplainable samples
or events in a dataset or data stream. The field of anomaly detection has been extensively …

Rogue trading is a term used to designate a fraudulent trading activity and rogue traders
refer to operators who take unauthorised positions with regard to the mandate of the desk to …