Research on immunity-based intrusion detection technology for the Internet of Things

Abstract

To detect the security threat in the Internet of Things (IoT), the mechanisms of artificial immune system are applied to the IoT environment. The application method of immune theory to the IoT environment is constructed. A method of intrusion detection for the IoT is proposed. Antigen, self and non-self in the IoT are simulated. Immature detector, mature detector and memory detector are defined to detect attacks in the IoT. To adapt the complicated and changeful environment of the IoT, detectors evolve dynamically to detect mutated, even new IoT attacks. The attack information library is defined. Attacks detected by detectors in the IoT are combined with the attack information library to alarm the manager of the IoT.