The VAST Data Platform Version 5.0 Adds New AI-Based Event Detection, Real-Time Monitoring and Simple Provisioning Tools for AWS Hybrid Cloud Deployments
COMPANY ANNOUNCEMENT: The VAST Data Platform Version 5.0 Adds New AI-Based Event Detection, Real-Time Monitoring and Simple Provisioning Tools f.
Internet technologies are now utilized in almost every domain to gather data streams and also to monitor important events in an organization. However, these data streams are affected by abnormal or unusual pattern widely known as anomalies, which is responsible for malicious attacks, hardware failure, software failure, and reading errors. Hence, a dynamic, effective anomaly detection model is established in this research to enhance the quality of data gathered by the networks. The deep belief neural network is employed to obtain promising results in anomaly detection. The classifier performance is improved by reducing data dimensionality through the process known as feature extraction. The experimental analysis demonstrates the effectiveness of the proposed methodology by comparing it with existing techniques such as RNN, BNN, CNN, and Autoencoders. The experimental outcome such as accuracy, precision, F1-score, and error of about 80.5714%, 94.5440%, and95.3% for the HDFS dataset revea
/PRNewswire/ Stream Security, previously known as Lightlytics, today announced a significant expansion into cloud security, ushering in a new era for the.