Abstract: Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the ...

Waldyn Martinez, associate professor of Information Systems and Analytics, shares how machine learning is still very relevant today as many business applications continue to happen with machine ...

Abstract: By examining patterns in the text data and metadata linked to job adverts, The use of learning algorithms has grown in popularity in the detection of fraudulent job postings. For this, ...