The processing and analyzing of multimedia data has become a popular research topic due to the evolution of deep learning. Deep learning has played an important role in addressing many challenging problems, such as computer vision, image recognition, and image detection, which can be useful in many real-world applications. In this study, we analyzed visual features of images to detect advertising images from scanned images of various magazines. The aim is to identify key features of advertising images and to apply them to real-world application. The proposed work will eventually help improve marketing strategies, which requires the classification of advertising images from magazines. We employed convolutional neural networks to classify scanned images as either advertisements or non-advertisements (i.e., articles). The results show that the proposed approach outperforms other classifiers and the related work in terms of accuracy.
the reported research in literature for message transformation by a third party does not provide the necessary efficiency and security against different attacks. The data transmitted through the computer network must be confidential and authenticated in advance. In this paper, we develop and improve security of the braided single stage quantum cryptography. This improvement is based on a novel authentication algorithm by using signature verification without using the three stages protocol to share the secret key between the sender and receiver. This approach will work against attacks such as replay and man-in-the-middle by increasing the security as well as the over efficiency, reducing the overhead through using three stages and increasing the speed of the communication between two parties.
Keywords-quantum cryptography (QC), Braided Single Stage Protocol (BSSP), Three Stages Protocol (TSP), quantum key distribution protocol (QKD), authentication, SignatureVerification.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.