# Realizing Efficient Security and Privacy in IoT Networks
## 1 Introduction  
With the recent swift advancement of wireless communication networks and the advent of the fifth generation (5G) cellular network, interconnected devices are embedded into the environment through the IoT paradigm to enhance constant quality of service (QoS) and connectivity [1]. However, security of wireless transmissions has become a vital concern [2]. Unfortunately, in wireless technology, security risks are unavoidably inherent. Recently, network intrusion and eavesdropping, known as Eves, has becomethe major cradle of security risks in 5G wireless communications. The resources (e.g., battery) of most IoT devices (such as handheld/mobile communicating devices) are constrained, thus resulting in the devices having limited power for transmission, which may warrant the use of frailer cryptographic techniques as power savers. Therefore, devices may be prone to several attacks by some prevailing adversaries. Security in wireless networks is typically employed through cryptographic methods using the upper layers of the open system interconnection (OSI) model [2; 3]. However, these adversaries, which are considered as unauthorized users or network Eves, may infiltrate the network system, exhaust the networks bandwidth, taint the transmission data, reduce transmission performance, and inject data harms that thwart easy access of network data by authentic users. As a result of wireless link's unprotected nature, most wireless connectivity is susceptible which makes it easy for them to be attacked by jamming technology. These jamming attacks can result in a problem of Denial-of-Service (DoS), which can cause numerous other higher-layer security glitches in IoT and 5G technologies [3]. The 5G wireless network is predicted to activate the smart hyperlinked environment, enhancing the evolution and the growth of several sectors, such as energy and railway, where huge amounts of accessibility and reliability is essential. In contrast, this evolution may warrant that future mobile transmitting devices be exposed to cyber-attacks, which can destabilize system accessibility [4]. Because of the nature of wireless communications, vulnerability to Eve's attacks is inevitable. Therefore, transmission confidentiality cannot be guaranteed. In this paper, our work is focused on utilizing the networks physical layer to address countermeasures towards tackling confidentiality attacks in wireless network. 5G communications will headline what is being called the 4\({}^{th}\) Industrial Revolution, where the mobile wireless broadband, pervasive sensing, and artificial intelligence (AI) promises to lead to major changes in academia, industry, and society itself. This coming generation of wireless communications globally focuses on many aspects as standards, policy, and infrastructure are still being shaped. 5G definitely promises to make the IoT network a reality. In wireless networks, confidentiality attacks mostly stem from jamming. This is considered as the interruption of the flow in wireless transmissions by diminishing the signal-to-noise ratio (SNR) at the receiver end over a wireless signal's transmission interference. This clearly varies from normal network interferences because it explains a deliberate injection of wireless signals into an existing transmission with the intention of interrupting communications. However, network interference is said to be an accidental kind of disruption during transmission [5]. Recently, through conventional means, the implementation of different encryption approaches has been used to handle this security challenge at the advanced communications layers. That being said, a lot of attention has been drawn towards the security of the physical (PHY) layer lately.