This paper proposes an anomaly detection model based on the reconstruction error to detect malicious requests in a Web application. Our model combines a multi-head attention network and gated convolution network to capture the pattern of a normal request. Moreover. we use a novel segmentation method to enhance the structural representation of a request and embed a raw request into a f... https://classiquesupplyes.shop/product-category/table-lamps/