Iot security authentication method based on communication network

By collecting multi-dimensional physical fingerprint information from IoT devices to construct dynamic identity credentials and temporary communication keys, the problems of identity forgery and key abuse in existing IoT device authentication are solved, achieving more reliable authentication and secure communication.

CN122137645APending Publication Date: 2026-06-02CHINA TELECOM CONSTR 4TH ENG
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA TELECOM CONSTR 4TH ENG
Filing Date
2026-03-11
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing IoT device authentication technologies rely on static identifiers or single hardware features, resulting in high risks of identity forgery, insufficient authentication reliability, and a lack of time constraints that bind the authenticated key to the current state of the device, making it difficult to cope with scenarios such as device hijacking or abnormal environments.

Method used

Collect multi-dimensional physical fingerprint information of IoT devices, including device hardware signature, firmware version hash value and signal feature profile under the current operating environment, construct an initial authentication request message, and generate a temporary communication key through multi-level matching degree calculation of network authentication entities. Combined with the session key seed of the time window, dynamic identity credentials and key derivation are realized.

Benefits of technology

It improves the authenticity of identity credentials and the accuracy of authentication, reduces the risk of misuse after key leakage, and enhances the security of the authentication process and the confidentiality of communication.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to the field of IoT security authentication technology, specifically to an IoT security authentication method based on a communication network. The method includes: when an IoT device connects to the network, it collects its own multi-dimensional physical fingerprint information, including the device's hardware signature, firmware version hash value, and current operating environment signal feature profile. This information is then encapsulated as a component of an identity credential and combined with a dynamic temporary identifier to construct an initial authentication request message, which is then sent. The network authentication entity parses the message, queries the device's legitimate fingerprint feature database based on the dynamic temporary identifier to obtain a registered physical fingerprint template, and calculates a comprehensive similarity by performing multi-level matching between the real-time fingerprint and the template. When the similarity exceeds a threshold, a session key seed with a time-limited window is generated, deriving a pair of temporary communication keys. This method improves the authenticity and security of IoT device access authentication through multi-dimensional physical fingerprint fusion and dynamic key derivation.
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