Method and device for resisting cooperative type sensing data falsification attack through cognitive wireless network

Abstract

The invention relates to the technical field of wireless communication, in particular to a method and device for resisting cooperative type sensing data falsification attack through a cognitive wireless network. The method includes the steps of clustering sensing results and judging the sensing results within clusters, dividing sensing users with similar sensing result reports into the same clusters, recognizing and isolating malicious users, and then judging the real channel occupancy state of main users according to the judgment result of each cluster. According to the method, the malicious users are recognized and isolated by means of the self-adaption clustering technology by fully using sensing report historical data of the sensing users under the condition that prior knowledge such as the number of attackers and the attack strategies does not exist; all aspects of sensing performance of the system is improved, the aims of lowering system false alarm probability and improving system detection probability are achieved, and therefore the cooperative type sensing data falsification attack is effectively defended.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a method and device for a cognitive wireless network to resist cooperative tampering perception data attacks. Background technique [0002] Cognitive Radio (CR) technology has become one of the most popular research fields in wireless communication, and is widely recognized as the "next big event" in the field of future wireless communication research. Cognitive radio, as an intelligent wireless communication system, uses Dynamic Spectrum Access (DSA) to realize the "secondary utilization" of spectrum holes by secondary users (unauthorized users), which can effectively improve spectrum utilization efficiency , fundamentally alleviate the tension of spectrum resources. [0003] Coordinated spectrum sensing technology has successfully solved the problems of hidden terminals and harsh sensitivity requirements in single-user sensing, and obtained a large sensi...

AI Technical Summary

Problems solved by technology

However, this method has a high misidentification rate, that is, trustworthy users are mistakenly regarded as attacking users.

At the same time, with the increase of the number of malicious users, this method cannot solve the malicious attack from the cooperative type well, and there is a high probability of misjudgment

In 2011, Zeng Kun’s doctoral thesis "Research on Cognitive Radio Cooperative Spectrum Sensing Technology" aimed at the problem that the performance of existing security cooperative sensing algorithms is sensitive to the number of malicious users in the initial state, and proposed a reputation-based method assisted by trusted users

However, this method has a high misidentification rate, that is, trustworthy users are mistakenly regarded as attacking users.

[0008] 2. It can improve the robustness in many malicious user network scenarios, but lacks the ability to resist coordinated SSDF attacks

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