Artificial Immunity-based Security Response Model for the Internet of Things

Rapid expansion of the Internet of Things (IoT) caused more and more security problems and attacks in particular. Secure IoT needs reasonable disposition after or when being attacked. To meet the above requirements of IoT security, a security response model for IoT based on artificial immune system is proposed in this paper. IoT data packets are captured and transformed into immune antigens which are defined in the real IoT security environment. Recognizer is defined and simulative to recognize harmful antigens. The immune mechanisms of antigen match, dynamic evolution of recognizer and self elements are simulative to adapt the real-time change of IoT. Abnormal antigens are recognized and their danger value is assessed. Strategy library of security response is constructed. Based on the danger of abnormal antigens which represent specific IoT data, reasonable security response array is calculated to respond to attacks. Experiments are simulative to realize proposed model. Their results show feasibility and effectiveness in security response for IoT.