DeepAI
Log In Sign Up

Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks

08/31/2020
by   Xiaoyong Yuan, et al.
0

Recently web applications have been widely used in enterprises to assist employees in providing effective and efficient business processes. Forecasting upcoming web events in enterprise web applications can be beneficial in many ways, such as efficient caching and recommendation. In this paper, we present a web event forecasting approach, DeepEvent, in enterprise web applications for better anomaly detection. DeepEvent includes three key features: web-specific neural networks to take into account the characteristics of sequential web events, self-supervised learning techniques to overcome the scarcity of labeled data, and sequence embedding techniques to integrate contextual events and capture dependencies among web events. We evaluate DeepEvent on web events collected from six real-world enterprise web applications. Our experimental results demonstrate that DeepEvent is effective in forecasting sequential web events and detecting web based anomalies. DeepEvent provides a context-based system for researchers and practitioners to better forecast web events with situational awareness.

READ FULL TEXT

page 1

page 2

page 3

page 4

03/07/2021

LogBERT: Log Anomaly Detection via BERT

Detecting anomalous events in online computer systems is crucial to prot...
05/10/2022

Self-Supervised Anomaly Detection: A Survey and Outlook

Over the past few years, anomaly detection, a subfield of machine learni...
08/31/2020

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection

Discrete event sequences are ubiquitous, such as an ordered event series...
10/04/2022

Multiple Instance Learning for Detecting Anomalies over Sequential Real-World Datasets

Detecting anomalies over real-world datasets remains a challenging task....
11/14/2017

Web Robot Detection in Academic Publishing

Recent industry reports assure the rise of web robots which comprise mor...
07/28/2021

Social Processes: Self-Supervised Forecasting of Nonverbal Cues in Social Conversations

The default paradigm for the forecasting of human behavior in social con...
03/11/2021

On Improving Deep Learning Trace Analysis with System Call Arguments

Kernel traces are sequences of low-level events comprising a name and mu...