Intelligent Transportation Systems (ITS) are essential and play a key role in improving road
safety, reducing congestion, optimizing traffic flow and facilitating the development of smart …

Continuous detection of performance anomalies such as service degradations has become
critical in cloud and Internet services due to impact on quality of service and end-user …

As the most popular digital currency, Bitcoin has a high economic value, and its security has
been paid more and more attention. Anomaly detection of Bitcoin has become a problem …

As artificial intelligence (AI) continues to advance, Generative AI emerges as a
transformative force, capable of generating novel content and revolutionizing anomaly …

Detecting the location of performance anomalies in complex distributed systems is critical to
ensuring the effective operation of a system, in particular, if short-lived container …

Edge cloud environments are often build as virtualized coordinated clusters of possibly
heterogeneous devices. Their problem is that infrastructure metrics are only partially …

Cloud servers are highly prone to resource bottleneck failures. In this work, we propose an
ensemble learning model to build LSTM-based multiclass classifier for resource bottleneck …

Cloud system attracts users with the desired features, and in the meanwhile, cloud system
may experience various security issues. An effective intrusion detection system is offered by …

Recently, the widespread use of cloud technologies has led to the rapid increase in the
scale and complexity of this infrastructure. The degradation and downtimes in the …

Cloud computing has revolutionized computing infrastructure abstraction and utilization,
distinguished by its cost-effective and high-quality services. However, the challenge of …