Anomalies are rare observations (eg, data records or events) that deviate significantly from
the others in the sample. Over the past few decades, research on anomaly mining has …

With the rapid development of emerging technologies such as self-media, the Internet of
Things, and cloud computing, massive data applications are crossing the threshold of the …

Network function virtualization (NFV) is a rapidly growing technology that enables the
virtualization of traditional network hardware components, offering benefits such as cost …

Data classification within the network brings significant benefits in reaction time, servers
offload and power efficiency. Still, only very simple models were mapped to the network. In …

Fake news can rapidly spread through internet users and can deceive a large audience.
Due to those characteristics, they can have a direct impact on political and economic events …

We consider the problem of resource slicing in the 6 th generation multi-access edge
computing (6G-MEC) network. The network includes many non-stationary space-air-ground …

Anomaly detection is critical in the smart industry for preventing equipment failure, reducing
downtime, and improving safety. Internet of Things (IoT) has enabled the collection of large …

We study the problem of ultrareliable and low-latency slicing in multiaccess edge computing
(MEC) systems for the next-generation Internet of Things (IoT) and mobile applications …

Currently, distributed software systems have evolved at an unprecedented pace. Modern
software-quality requirements are high and require significant staff support and effort. This …

Machine Learning based anomaly detection ap‐proaches have long training and validation
cycles. With IoT devices rapidly proliferating, training anomaly models on a per device basis …