The field of cryptography is rapidly evolving to address the emerging threats of quantum computing and the increasing use of Internet of Things (IoT) devices. Researchers are exploring new approaches to develop post-quantum secure encryption schemes, such as hybrid chaos-based cryptographic frameworks and lattice-based cryptography. The security of IoT devices is also a major concern, with device fingerprinting being a key technique for authenticating devices and detecting adversaries. However, the rise of advanced machine learning techniques has raised questions about the effectiveness of current device fingerprinting methods. Noteworthy papers in this area include the proposal of CryptoChaos, a novel hybrid cryptographic framework that synergizes deterministic chaos theory with cutting-edge cryptographic primitives, and the introduction of PQ-CAN, a modular framework for simulating the performance and overhead of post-quantum cryptography algorithms in embedded systems.