The recent wave of digitalization is characterized by the widespread deployment of sensors
in many different environments, eg, multi-sensor systems represent a critical enabling …

Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …

The automatic supervision of IT systems is a current challenge at Orange. Given the size and
complexity reached by its IT operations, the number of sensors needed to obtain …

Multimodal time series (MTS) anomaly detection is crucial for maintaining the safety and
stability of working devices (eg, water treatment system and spacecraft), whose data are …

The modern industrial control systems now exhibit an increasing connectivity to the
corporate Internet technology networks so as to make full use of the rich resource on the …

With the proliferation of the Internet of Things, a large amount of multivariate time series
(MTS) data is being produced daily by industrial systems, corresponding in many cases to …

Density peaks clustering (DPC) has been proved to be an effective clustering method and
applied to many scientific fields. It can detect the density peak within each cluster and assign …

In any dataset, events which deviate from the majority of regular patterns are called as rare
events. These events can be any unusual activity, fraud, intrusion or suspicious abnormal …

Anomaly detection of multivariate time series data has drawn extensive research attention
recently, as it can be widely applied into various different domains, such as Prognostics …

Virtualized infrastructure in cloud computing has become an attractive target for
cyberattackers to launch advanced attacks. This paper proposes a novel big data based …