### Related Work  
In the literature, to further improve the secure performance of wireless transmissions, different strategies have been proposed, such as multiple antennas, beamforming designs,artificial noise (AN) or jamming, and resource allocation schemes [29; 30; 31]. For instance, security in cooperative single-input single-output (SISO) NOMA networks has been investigated in [29; 30], aiming to maximize the secrecy sum rate (SSR) and secrecy energy efficiency, respectively, by applying a low-complexity solution based on particle swarm optimization (PSO). Recently, PLS in NOMA mobile edge computing (MEC) system was studied in [31] to maximize the secure computation efficiency by jointly optimizing the resource allocations such as the transmission power, the computation time, and the central processing unit frequency. The results showed the superiority of NOMA over the time-division multiple-access (TDMA) conventional scheme. However, none of these studies previously discussed consider MISO and SWIPT technology which can increase the spectral efficiency of the network. Secure NOMA transmission in a MISO scenario was investigated [32; 33; 34; 35; 36] via joint beamforming and AN optimization. The authors of both [32; 33] maximized the SSR by using joint precoding optimization, while in [34], the authors provided secure NOMA transmission by maximizing the jamming power, and they applied SIC at the receiver to avoid affecting legitimate transmissions. In [32], the authors considered downlink MISO-NOMA system with the presence of an eavesdropper. The objective was to obtain the optimal precoder vectors to maximize the SSR of the users subject to the constraints of maximum available power and rate requirement in each user. The solution was an iterative algorithm based on the second-order cone programming. However, the authors did not consider the SWIPT technology, EH users, AN along with an underlying CR system, which involves extra constraints related to EH requirements and maximum interference allowed to the primary network. Therefore, the solution proposed in [32] cannot be used to solve the optimization problem proposed in this paper. Another optimization approach to improve the SSR of a MISO-NOMA network has been studied in [35] which is based on a dynamic user scheduling, grouping strategy, and the application of efficient algorithms such as outer polyblock approximation and Dinkelbach. The authors considered the zero-forcing (ZF) criteria to define the beamforming vectors and investigated the minimum secrecy rate maximization problem to design the optimal power allocation strategy under three main constrains: QoS requirements, secrecy outage probability (SOP) and maximum available power. However, they did not consider EH users and an underlying CR system, which entails new EH constraints and maximum interference constraints in the optimizations problem. In addition, the proposed approach optimized the beamforming vectors and considered an scheme. Therefore, the algorithm in [35] cannot be used for the proposed system model in this paper. Security for the primary network of a NOMA-CR system assisted by SWIPT was studied in [36]. The authors considered SU users with the ability to only decode information and several EH users which are considered to be eavesdropper, where the secondary base station (BS) transmits a jamming signal to increase the security of the primary network. The objective was to minimize the total transmission power under the constraints of minimum secrecy rates and EH requirements, in which the solution was based on the successive convex approximation (SCA) algorithm and the semidefinite relaxation (SDR) technique. It was shown that application of NOMA consumed lower transmission power than baseline schemes and satisfied quality of service (QoS) requirements such as the minimum secrecy rate of legitimate users.