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The ever-growing technology in mobile smartphones has enabled users to store sensitive and private information; as a result, it required the need for an improved security system. Previous approaches heavily relied on shallow machine learning algorithms that require feature extraction which is time consuming, laborious and can cause, resulting in poor authentication. In this paper,…

The traditional long-term evolved (LTE) network architecture faces major challenges due to the rapid development of mobile intelligent applications. Evolved packet core (EPC) network, as the core network of the LTE system, faces the same problem as well. In this paper, we propose an innovative EPC architecture, i.e., Not only stack (NOS)-EPC, in which we…

Deep neural networks (DNNs) have demonstrated remarkable success across a wide range of machine learning tasks. However, determining an effective network architecture, particularly the sizes of the hidden layers, remains a significant challenge and often relies on inefficient trial-and-error experimentation. In this paper, we propose an automated architecture design approach based on structurally adaptive DNNs,…

In Senegal, agriculture has always been seen as the foundation on which the socioeconomic development of the country rests. However, in the rural world, agriculture remains traditional at a time when the challenges of food self-sufficiency to accompany emergence are launched. In the southern part of Senegal commonly called Casamance, the abundance of rain makes…

Brain tumors are a type of tumor with a high mortality rate. Since multifocal-looking tumors in the brain can resemble multicentric gliomas or gliomatosis, accurate detection of the tumor is required during the treatment process. The similarity of neurological and radiological findings also complicates the classification of these tumors. Fast and accurate classification is important…

We present findings on classifying the class of executable code using convolutional, re- current neural networks by creating images from only the .text section of executables and dividing them into standard-size windows, using minimal preprocessing. We achieve up to 98.24% testing accuracy on classifying 9 types of malware, and 99.50% testing accuracy on classifying malicious…

Cyberinfrastructure is undergoing a radical transformation as traditional enterprise and cloud computing environments hosting dynamic, mobile workloads replace telecommunication data centers.  Traditional data center security best practices involving network segmentation are not well suited to these new environments.  We discuss a novel network architecture, which enables an explicit zero trust approach, based on a steganographic…

Fiber-Wireless (FiWi) network is an integration of fiber optic and wireless connections in the same network. It is one of the best solutions to overcome rapid increment of Internet users and bandwidth-hungry services. To facilitate fundamental knowledge and further understanding on FiWi for students and researchers at the university level, this article proposes the development…

In the recent years LepidaSpa created Sensornet platform for the control of the Emilia-Romagna territory managing heterogeneous environmental sensor networks distributed all over the region. LepidaSpa decided to integrate into Sensornet a brand-new family of sensors measuring indoor environmental parameters inside public buildings, in order to monitor energy consumption on one hand and workers’ wellbeing…

In the world today, the rapid development of the Internet of Things (IoT) and the application of the Connected Vehicle Cloud (CVC) as the Internet of Things in the intelligent transportation are becoming widespread. They can improve people’s safety, vehicle security as well as reduce the cost of ownership of an automobile. At the same…