Artificial Immune System

Artificial immune systems (AIS) are computational models inspired by the biological immune system, aiming to create robust and adaptable systems for various applications. Current research focuses on developing novel AIS architectures, such as those based on symbiotic relationships or weighted finite state machines, to improve efficiency, scalability, and interpretability. These advancements are driving progress in areas like intrusion detection, anomaly detection, and optimization problems, offering more explainable and effective solutions compared to traditional approaches. The resulting improvements in algorithm design and performance have significant implications for cybersecurity and other fields requiring adaptive and robust systems.