Internet of things network intrusion detection method and system based on adaptive crow search

• Main Authors: LUO ZIXUAN, HAN JINTAO
• Format: Patent
• Language: Chinese; English
• Published: 09.04.2024
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention relates to an internet of things network intrusion detection method, in particular to an internet of things network intrusion detection method and system based on adaptive crow search. The method comprises the following steps: collecting different types of request data through a construction platform, carrying out secondary processing, training a fusion algorithm combining an adaptive neural fuzzy inference system and a crow search algorithm by using the request data subjected to secondary processing, obtaining an optimized model, and creating an intrusion detection system based on the model. And detecting the network intrusion. According to the method, the adaptive neural fuzzy inference system is optimized by using the graffiti search algorithm, so that the problem of overfitting is solved, the detection precision is improved, and the resource consumption of Internet of Things equipment is reduced; in addition, by collecting more types of attack data, the problem of unknown attack types is fur