# Realizing Efficient Security and Privacy in IoT Networks
## 1 Introduction
From a PHY security perspective, the authors of [6] investigated the impact of saturation nonlinear energy harvesting (EH) and activation threshold on the multiuser wireless powered sensor networks (WPSNs) from the physical layer security (PLS) perspective, and with respect to the generalized multiuser scheduling (GMS), they examined the improvement in the secrecy performance in WPNs. Their work explored and presented an exact closed-form expressions for secrecy outage probability (SOP) under linear EH (LEH), saturation nonlinear EH (SNEH), and saturation nonlinear EH with activation threshold (SNAT), respectively, through finding a solution for the maximization problem of secure energy efficiency (SEE). The basis for tackling jamming attacks is hinged on [PERSON]'s architecture. This architecture presented and demonstrated a wiretap channel when the channel of the eavesdropper ([PERSON]) is a tainted version of the authentic receiver's channel, a secret message can be sent from the transmitter to the destination, while [PERSON] is kept unaware of the content of the transmitted message [7]. The concept of privacy capacity is described as the optimal attainable rate of transmission of private data from the transmitting source (node) to its receiving destination. In [8], the [PERSON]'s wiretap method was generalized by assuming the private message transmission over channels broadcast. Lately, substantial studies have analyzed privacy in wiretap channels under multiple antennas networks [9; 10; 11]. Particularly, the authors of [11; 12] described the performance capacity of privacy in a multiple-input, multiple-output (MIMO) wiretap transmission channel. However, the authors of [13] investigated a joint effect of multiple jamming signals and noise at the eavesdropper in a MIMO network by assuming the implementation of antenna selection technique by the transmitter, while both the eavesdropper and legitimate receiver make use of a maximal-ratio combining scheme to achieve spatial diversity in reception. Their results show the effects of imperfect feedback and other key system parameters on the secrecy performance. Basically, security at the PHY layer guarantees an optimal level of transmission privacy against [PERSON]'s as well as establishing an anticipated reception standard and quality as expected by the receiver(s). This research area comprises both signal processing analysis and theoretical information study. Although the latter involves more bounds and asymptotical limits, the former inclines towards innovating primal designs of algorithms and architectures to tackle security issues in a wireless network. Therefore, the focus and motivations of this paper is wrapped around the former with respect to [PERSON]'s growing quantity of transmitting antennas on privacy. All the above-mentioned studies, except for [10; 11], failed to explore a MIMOME scenario wish illustrates the effects of [PERSON]'s growing quantity of transmitting antennas on privacy. Although the authors of [6; 11; 13] proposed proficient privacy, their technique is reliant only on the assumption of a scenario where several factors such as the quantity of [PERSON]'s antennas that are accessible for transmitter usage for artificial noise subspace, are constrained in a MIMO and MIMOME network. By implication, it is essential that [PERSON]'s multiple antenna usage needs be considered and addressed. In this research, this is believed to be an issue of importance, therefore these problems are first extensively described, then techniques to tackle such problems are investigated and proposed.The main contributions of this research are as follows. * A primal outlook into the investigation and optimization of wireless communications security with respect to IoT networks is presented.