A large-scale security detection method for the internet of things based on endogenous security

Abstract

The present invention discloses a large-scale security detection method for the Internet of Things based on endogenous security, belonging to the field of IoT security detection technology.This method embeds security detection capabilities into the entire chain nodes of the IoT perception layer, network layer, and application layer by constructing an endogenous security detection system, achieving a three-dimensional security detection from node endogenous to global collaboration.Specifically, it includes: firstly, empowering IoT nodes with endogenous security, generating unique secure and trusted identifiers and dynamic keys for the nodes;Secondly, a distributed collaborative detection network is constructed to achieve adaptive allocation and load balancing of detection tasks based on inter node trust evaluation mechanism;Then, a multi-level abnormal behavior recognition model is adopted, combined with local real- time detection and global correlation analysis of nodes, to accurately identify security threats such as malicious attacks, data tampering, and node impersonation.