Historically, wireless communication security solutions have heavily relied on computational methods, such as cryptographic algorithms implemented in the upper layers of the network stack. Although these methods have been effective, they may not always be sufficient to address all security threats. An alternative approach for achieving secure communication is the physical layer security approach, which utilizes the physical properties of the communication channel through appropriate coding and signal processing. The goal of this Ph.D. dissertation is to leverage the foundations of information-theoretic security to develop innovative and secure schemes, as well as code design techniques, that can enhance security and reliability in wireless communication networks. This dissertation includes three main phases of investigation. The first investigation analyzes the finite blocklength coding problem for the wiretap channel model which is equipped with the cache. The objective was to develop and analyze a new wiretap coding scheme that can be used for secure communication of sensitive data. Secondly, an investigation was conducted into information-theoretic security solutions for aeronautical mobile telemetry (AMT) systems. This included developing a secure coding technique for the integrated Network Enhanced Telemetry (iNET) communications system, as well as examining the potential of post-quantum cryptography approaches as future secrecy solutions for AMT systems. The investigation focused on exploring code-based techniques and evaluating their feasibility for implementation. Finally, the properties of nested linear codes in the wiretap channel model have been explored. Investigation in this phase began by exploring the duality relationship between equivocation matrices of nested linear codes and their corresponding dual codes. Then a new coding algorithm to construct the optimum nested linear secrecy codes has been invented. This coding algorithm leverages the aforementioned duality relationship by starting with the worst nested linear secrecy codes from the dual space. This approach enables us to derive the optimal nested linear secrecy code more efficiently and effectively than through a brute-force search for the best nested linear secrecy codes directly.