# Analysis and Research on Secondary LT Coding Anti-Eavesdropping Scheme Based on LT Code Degree-1  
[PERSON]  
1 School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou 121001, China; [EMAIL_ADDRESS] (L.  
the network's overall energy usage. Based on this, the literature [6] developed a methodical strategy for big data-sensing wireless networks with improved wireless service quality and innovative mobile applications, increasing the potential of wireless communication. The majority of PLS technologies in use today aim to increase security capabilities. By enhancing the gap in signal quality between legitimate receivers and eavesdroppers, for instance, artificial noise, collaborative relaying, and other techniques can raise the rate of signal receipt for legitimate receivers. As an illustration, the literature [7] suggests a secure communication beamforming scheme based on signal-to-noise ratio, which aims to eliminate artificial noise at the legitimate receiving end by minimizing the signal-to-noise ratio of the unreliable relay nodes, maximizing its signal-to-noise ratio, and achieving the goal of preventing information eavesdropping. The literature [8] suggests an opportunistic fountain coding mechanism based on coordinated routing, in which each relay node does not have to restore all of the original packets but instead chooses a virtual node for packet forwarding and re-encodes the unrestored and restored packets of a single relay, improving the performance of multi-hop networks' transmission delay and reducing the decoding complexity. Physical layer coding can significantly improve eavesdroppers' untranslated efficiency in noisy channels. Fountain code is an anti-eavesdropping code appropriate for physical layer communication. The longer the source coding symbol length, the smaller the decoding overhead, even near to 1. In the eavesdropping channel, there is a difference between the legitimate receiver and the eavesdropper in receiving the correct coding symbol, which is utilized as an anti-eavesdropping code to make it difficult for the eavesdropper to obtain the source information from it. In the literature [9], a coset precoding method is based on enhanced fountain codes to achieve strong communication security. Coset precoding prevents eavesdroppers from intercepting confidential information from leaked bits, and the main channel and the eavesdropping channel are both memoryless binary erasure channels. The literature [10] proposes a structure of repairable fountain codes in distributed storage systems, where random symbols are first added to the message, and then the message is encoded through the connection of Gabidulin codes and repairable fountain codes (RFCs) to design secure and repairable vector RFCs, i.e., the code symbols are distributed over storage nodes in order to theoretically achieve complete security. An improved distributed fountain coding method that has been suggested in the literature [11] uses a joint iterative optimization algorithm to optimize the degree distribution of sources and relays, improving the overall performance of all sources while also ensuring the reliability of the network by adding cooperative relays to mitigate the effects of undesirable channel conditions. The literature [12] uses rateless fountain code, Raptor code, equalizer, and chaotic interleaving technology in multi-user large-scale multiple-input multiple-output (MIMO) systems to enhance Bit Error Rate (BER) performance and throughput of a MIMO-Orthogonal Frequency Division Multiplexing-based system over multipath fading channels.