ENTERPRISE WEB APPLICATION EVENT PREDICTION AND ANOMALY DETECTION BASED ON SELF-SUPERVISED NEURAL NETWORKS

This paper proposes a new event prediction method DeepEvent for enterprise Web applications to better detect abnormal events. DeepEvent included three key features: Web-specific neural network that considered the characteristics of sequential Web events, self-supervised learning technology that could overcome the scarcity of labeled data, and sequential embedding technology that integrated contextual events and captured the dependencies among Web events. We evaluated DeepEvent on Web events collected from six real-world enterprise Web applications. Experimental results show that DeepEvent is effective in predicting sequential Web events and detecting Web anomalies.