This collection encompasses research and publications focused on various aspects of intrusion detection systems, particularly within edge computing and smart grid environments. It explores innovative training models that enhance detection accuracy using advanced techniques like machine learning, as well as hybrid deep learning approaches. Additional topics include the academic contributions of peer-reviewed journals that address security challenges in network systems, IoT, and modern cybersecurity threats, underscoring the need for robust defenses against vulnerabilities.