Usually, the PLS mechanism related to the self-jamming and AN has been studied assuming that the eavesdropper cannot estimate the wiretap channel or jamming channel based on the known training pilots and transmitted power [20]. However, a large number of training pilots are required to be involved, and it is still not a satisfying solution in terms of time, bandwidth, and power consumption, especially for short-frame FD transmission, because the training requires a huge number of data symbols to obtain a good second-order statistic of the received signal. Furthermore, channel secrecy capacity and transmission message reliability can be a problem for communications with finite block length or short-packet [6]. Therefore, the PLS on short-packet transmission has recently become an open area to be focused on in 5G and beyond, especially for IoT transmissions and green communications. Furthermore, new radio channel coding schemes such as 5G Quasi-Cyclic Low-Density Parity Check (QC-LDPC) codes can also be chosen for the PLS problem due to their higher error correction performance and powerful decoding for both on and below the reliability threshold [1; 7], as well as sufficient performance in ultra-reliable Low Latency Communication (uRLLC) in short-packet 5G transmission systems [21]. In recent years, many researchers have focused on secrecy channel coding techniques in the wiretap channel [22; 23; 24; 25]. In particular, the authors in [23] evaluated the reliability and security over the flat and fast-fading Gaussian wiretap channel for the construction of various LDPC codes with the puncturing and scrambling techniques. Furthermore, the authors in [26] used the McEliece coding method based on LDPC Code to guarantee both information reliability between intended users and the security metric with respect to eavesdroppers in PLS. The authors in [24] also studied the combination of LDPC codes and AN by designing the scrambling matrix to reduce the probability of outage and improve PLS. Then, the authors in [25] proposed combining the LDPC codes at the transmitter and an iterative decoding algorithm at the receiver to reduce the security gap in the Gaussian wiretap channel. The results obtained show that their proposed scheme outperforms the punctured scheme in terms of the equivocation rate and the security gap. Last but not least, the authors in [27; 28] proposed joint iterative blind and semi-blind algorithms for channel estimations and decoding processes in short-packet FD transmission. The results show that these algorithms outperform the conventional algorithms without feedback in terms of not only Mean Square Error (MSE) and BER performances but also processing time and computational complexity, which are suitable for IoT transmissions and green communications. Therefore, in this paper, we propose and implement a new scheme that combines joint iterative channel estimation and decoding using 5G QC-LDPC codes with FD self-jamming of the legitimate receiver to enhance security and reliability, which means that the eavesdropper does not catch the information and the indented information is less affected or corrupted by the jamming signal, respectively, in two scenarios: a passive eavesdropper and an active eavesdropper. For the rest of this paper, the performance evaluations of the proposed algorithms are based on three metrics: MSE, BER, and security gap (\(S_{g}\)). The contributions of this paper can be summarized as follows:  
* We evaluate a combination of self-jamming techniques with a joint iterative blind or semi-blind channel estimation and decoding for a FD short-packet transmissions in the cases of passive and active eavesdroppers, respectively;
* We characterize that the system developed based on the new proposed algorithms have better performance compared to the conventional algorithms without feedback in terms of security metrics;
* We point out that the legitimate receivers are less sensitive to self-interference as well as the jamming power from the eavesdropper in our approach.