An immune model and its application to a mobile robot simulator

Immune computation is burgeoning bioinformatics technique inspired from the natural immune system and can solve the information security problems such as antivirus and fault detection. And the immune model is a crucial problem of the artificial immune system. In this paper, an immune model was proposed for the application of a mobile robot simulator, which was infected by some worms, such the love worm and the happy-time worm. The immune model was comprised of three tiers, including the inherent immune tier, the adaptive immune tier and the parallel computing tier. This immune model was built on the theories of the natural immune system and had many excellent features, such as adaptability, immunity, memory, learning, and robustness. And the application example of the immune model in the mobile robot simulator showed, the artificial immune system can detect, recognize, learn and eliminate computer viruses, and can detect and repair faults such as software bugs, and so the immune computation is an excellent approach for antivirus security. Moreover, the application fields and prospect of the immune computation would be rich and successful in the near future