## 1 Introduction  
Fifth generation (5G) communication systems are technologies that aim to make it possible for all things to communicate with each other anywhere in the world, and thus improve the quality of life by designing communication protocols that allow a large number of devices to transmit information at low latency and high bit rates [1, 2, 3]. In system models, both allocating separate spectrum resources to transmit information to a large number of devices and meeting their energy needs using external batteries increase the complexity and cost of the system. In the context of this issue, low-power communication models with the Internet of Things (IoT) have been designed, and system performance has been tested [4, 5]. Recently, to support massive IoT connections, the SR network has been proposed [6, 7, 8, 9], where devices in the system share available resources and assist each other in information transmission. Although SR is similar to cognitive radio network (CRN) in terms of spectrum sharing, there are some fundamental differences [10, 11, 12]. First, the receiver of the primary channel and the receiver of the secondary channel are two different terminals in CRN, while there is only one receiver in SR. This reduces the system cost by eliminating the need for an additional terminal. Second, in CRN, the performance of the secondary channel is directly dependent on the system parameters of the primary channel, whereas devices in a symbiotic relationship can adjust their own parameters depending on the system performance in SR [13]. In the models proposed in the literature, scenarios where the device can perform both wireless energy harvesting and backscattering techniques are considered. While the device does not need an external source, as it charges its own battery with the energy harvesting technique [14; 15; 16], it can send its information to the receiver with backscatter communication by utilizing the antenna impedance mismatch [2]. The use of ambient radio frequency sources (TV tower, FM tower, cellular BS station, WiFi access point, etc.) by devices for energy harvesting, the adoption of low-power communication, and the inherently low bit transmission rates of backscatter communication make devices vulnerable to attacks such as eavesdropping and jamming [6; 17]. To solve this problem, the physical layer security (PLS) paradigm has been proposed in the literature as an alternative to traditional cryptography methods that consume high energy [18; 19; 20; 21; 22]. In wireless communication systems where PLS analysis is tested, devices are eavesdropped. Therefore, ways are sought to transmit the device information to the receiver without leaking it to the ED. In this context, the difference between the number of bits transmitted to the receiver over the information channel and the number of bits reaching the ED over the wiretap channel is known as the secrecy rate. The secrecy rate does not take into account higher layer security mechanisms and measures the capacity difference. For this reason, it is generally preferred in low-power communication systems. The main purpose in wireless communication systems considered within the scope of information security is to improve system performance by maximizing the secrecy rate. In [23], in a symbiotic system with a single ED, the user is considered to have perfect knowledge about the activity of the signal emitter. In the network where the secrecy rate is tested at the receiver using the perfect/imperfect successive interference cancellation (SIC) technique, the energy constraint is taken into account. The assumption of perfect knowledge about the activities of the main signal source in the system is not feasible for real-world communications. For this aim, in the study conducted by taking into account the sensing errors [24], methods like energy detection, waveform-based sensing, cyclostationary feature detection, and matched filtering are discussed.