Attacks exploiting the innate and acquired vulnerabilities of human users have posed severe threats to cybersecurity. This work proposes ADVERT, a human-technical solution that generates adaptive visual aids in real-time prevent from inadvertence reduce their susceptibility phishing attacks. Based on eye-tracking data, we extract visual states attention as system-...

The intelligent perception ability of the close-range navigation environment is basis autonomous decision-making and control unmanned ships. In order to realize real-time ships, an enhanced attention mechanism YOLOv4 (EA-YOLOv4) algorithm proposed. First all, on YOLOv4, convolutional block module (CBAM) used search for features in channel space dimensions, respectively, improve model’s feature ...