The non-standalone architecture (NSA) of 5G networks builds upon existing 4G long-term evolution (LTE) infrastructure, integrating 5G new radio (NR) technology while still relying on the 4G core network. In contrast the standalone architecture (SA) of 5G networks is designed as a fully independent system, with its own 5G core network. It does not rely on the existing 4G LTE infrastructure. The NSA integrates 5G NR technology into existing 4G LTE networks, utilizing the 4G core network for control and signaling. On the other hand, the SA establishes a fully independent 5G network with its own core components, providing more advanced features and greater autonomy. The transition from NSA to SA architecture is expected as network operators deploy more comprehensive 5G networks. This paper investigated in details the major different between both architectures NSA and SA of 5G networks.

The main purpose of cloud cryptography is to protect sensitive data without causing any delay in data transfer, various cryptographic protocols designed to balance data security and performance to secure data through encryption. One such approach is to encrypt the data before uploading it to the cloud.

This study proposes an effective framework for protecting small and medium companies (SMEs) from cybersecurity risks and threats. The framework evaluates the system of private encryption data in a server environment using the advanced encryption standard (AES) 128 algorithm and a virtual private network (VPN) tunnel. The goal is to secure data through encryption and ensure data transfer without causing delays. The framework includes a test case where data is transferred from a storage area network (SAN) storage to the cloud. To assess the system's performance and security, a penetration test using Kali Linux is conducted. The results of this study provide insights into securing SMEs' data and mitigating cybersecurity risks effectively.

The introduction of the fifth generation (5G) networks indeed brings significant advancements in connectivity and has the potential to revolutionize various industries. The technologies that make 5G powerful include features such as faster speeds, reduced latency, increased capacity, and the ability to connect a wide range of devices and objects.

However, implementing 5G networks involves upgrading existing infrastructure and deploying new infrastructure, which can be both costly and time-consuming. This process requires significant investments from telecommunication companies to install new equipment and upgrade existing infrastructure to support 5G technology. Additionally, the deployment of 5G networks requires a substantial amount of radio spectrum, and regulatory frameworks need to be in place to allocate and manage the spectrum effectively. This paper provides an overview of 5G technologies, highlighting their key features and potential benefits. It also delves into the existing challenges that arise with the implementation of 5G networks and discusses some possible solutions to address these challenges.

The purpose of this study is to determine the suitability of system measurements on indoor radio wave propagation at (28–33GHz) which might be used by 5G communication.

This paper is the continuation of a research carried out by Alabish et.al, which depicts the scattering objects effects on a blocked indoor wireless 5G link by a human body using a simple approach. Some measurement were made on the scattering effects due to having an object close to the link in this case it is a human body. In this paper, more measurements were conducted at 32 GHz. The double knife-edge diffraction (DKED) model was used in order to foresee the attenuation due to human body. To test the prediction precision of the model, simulation was then compared with measurements. The obtained results indicate that the assumed simple models for the indoor links performed well.

This paper is concerned with studying the effects of human body blockage as well as surrounding objects scattering effects for an indoor 31 and 33 GHz link utilizing the Double Knife Edge Diffraction (DKED) model for diffraction effect on received signal.