Abstract: Internet of Things (IoT) realizes the interconnection of heterogeneous devices by the technology of wireless and mobile communication. The data of target regions are collected by widely ...

Abstract: As a commonly used model for anomaly detection, the autoencoder model for anomaly detection does not train the objective for extracted features, which is a downside of autoencoder model. In ...

Traditional firewalls only block known threats. This system detects any anomalous behavior — including zero-day attacks — without requiring labeled data.

Attention-guided generator with dual discriminator GAN for real-time video anomaly detection 2024 J-EAAI Model Video anomaly detection guided by clustering learning 2024 J-PR Model Toward Video ...

The Autoencoder (AE) was initially evaluated as a feature-only baseline for unsupervised anomaly detection. Anomaly scores were computed for all 42 sensor nodes under both normal and anomalous ...

Abhinav Piratla, an AI security architect, is closing the critical gap in medical device protection. Discover how his ...

The article features Adesh Keremane discussing his journey in wireless engineering and his work on Wi-Fi systems and AFC for ...

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