Isra Al-Turaiki; Najwa Altwaijry; Abeer Agil; Haya Aljodhi; sara Alharbi; Lina Alqassem
Abstract
With present-day technological advancements, the number of devices connected to the Internet has increased dramatically. Cybersecurity attacks are increasingly becoming a threat to individuals and organizations. Contemporary security frameworks incorporate Network Intrusion Detection Systems (NIDS). ...
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With present-day technological advancements, the number of devices connected to the Internet has increased dramatically. Cybersecurity attacks are increasingly becoming a threat to individuals and organizations. Contemporary security frameworks incorporate Network Intrusion Detection Systems (NIDS). These systems are an essential component for ensuring the security of computer networks against attacks. In this paper, two deep learning architectures are proposed for both binary and multi-class classification of network attacks. The models, CNN-IDS and LSTM-IDS, are based on Convolutional Neural Network and Long Short Term Memory architectures, respectively. The models are evaluated using the well-known NSL-KDD dataset. The performance is measured in terms of accuracy, precision, recall, and F-measure. Experimental results show that the models achieve good performance in terms of accuracy and recall. Network intrusion detection systems are an integral part of contemporary networks. They provide administrators with an early warning for known and unknown attacks. In this paper, two deep learning architectures to aid administrators in detecting network attacks are outlined
Abeer Sulaiman Al-Humaimeedy; Abeer Salman Al-Hammad; Ghada Al-Hudhud
Abstract
In a world full of many ideas turning to various kinds of products that need to be protected and here comes the importance of intellectual property rights. Intellectual property has many types however, our interest is in trademarks. The Madrid system is a system used by a group of countries that were ...
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In a world full of many ideas turning to various kinds of products that need to be protected and here comes the importance of intellectual property rights. Intellectual property has many types however, our interest is in trademarks. The Madrid system is a system used by a group of countries that were in the Madrid level of the agreement so they authorize it and they that has the agreement with them to use but the problem with it that it is a text-based system because of that we proposed a reverse image engine and that is because the reverse search image is better than the text-based system. we have discussed all of the terms and terminology that we need in our project. Along with reviewing the famous reverse-image search engines and the first systems of trademark image retrieval (TIR) and some of the related papers. Introducing our project with all the system analysis phases. The project approach is a reverse image search engine, it will be designed using a CBIR system with deep neural networks. This project will be implemented in the second semester of the 2020 year.