Agent-based intrusion detection method for cognitive wireless network

Abstract

The invention belongs to the field of cognitive wireless network technology, and discloses an agent-based intrusion detection method for a cognitive wireless network. The method comprises the following steps: selecting a node placement agent; determining whether the channel energy is greater than a threshold; detecting an internal node; performing attack detection; performing cooperative detection; and giving a response after the intrusion is detected. According to the agent-based intrusion detection method disclosed by the invention, attacks in a distributed cognitive wireless network are detected by using an agent-based intrusion detection system, the shortcoming of only performing single attack detection in existing security schemes can be overcome, and the overall security and robustness of the cognitive wireless network can be realized; and during detection, the attacks that occur inside the network can be detected through the coordination of multiple agents by using an ant colony optimization algorithm, the shortcomings that the computing power of secondary users is weak and a single agent cannot detect all known attacks can be overcome, and the high efficiency of the detection can be guaranteed.

Description

technical field [0001] The invention belongs to the technical field of cognitive wireless networks, and in particular relates to an agent-based intrusion detection method in cognitive wireless networks. Background technique [0002] Cognitive Radio Networks (CRN) allows secondary users to use idle spectrum opportunistically without interfering with primary users by sensing the wireless environment, effectively improving the utilization of spectrum resources and meeting the needs of more users. At the same time, new security threats are introduced, such as imitation master user attack, spectrum sensing data tampering attack, lion attack, etc. Now there are specific detection methods for a certain attack, but considering the cognitive network as a whole, there are not many studies on using intrusion detection systems to defend against security threats in cognitive wireless networks. The intrusion detection system is the second line of defense behind the firewall to protect sy...

AI Technical Summary

Problems solved by technology

[0004] To sum up, the problems existing in the existing technology are: there is a lack of a complete detection mechanism in CRN to provide effective protection, and resource-constrained secondary users cannot cooperate well to achieve efficient detection

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