Artificial Immune Systems Package (AISP) is an open-source Python library that features bio-inspired algorithms based on artificial immune systems for machine learning, pattern recognition, anomaly detection, and optimization tasks.

Interactive simulation of black hole attack detection in Mobile Ad-hoc Networks (MANETs) using novel Dolphin-Bee optimization algorithm with Streamlit visualization interface

(Formerly ZPRE-Implementation-6G). Repo demonstrates that adaptive interference cancellation fails - not due to insufficient model capacity - but due to the rate and structure of discontinuities in the signal.

Complete implementation with 3 methods, sensitivity analysis, and comprehensive visualizations. Reference: doi.org/10.1002/advs.202407641"