A Physical Layer Intrusion Detection Method for Wireless Networks Based on Compressed Sensing

Abstract

The invention discloses an intrusion detection method of a physical layer of a wireless network based on compressed sensing. The intrusion detection method comprises the following steps that: a sensor node detects an event signal; an SINR (Signal to Interference plus Noise Ratio) signal x is subjected to sparse transform to obtain a sparse representation form x' of the signal; y (y belongs to RM) is obtained by the sparse representation form x' (x' belongs to RN) of the SINR signal through a projection on a matrix phi; y is transmitted through the wireless network, and reaches a central aggregation node after passing a plurality of nodes; and sampling in the central aggregation node is detected by utilizing a CUSUM algorithm, and a detected result is reconstructed and reduced to obtain abnormal behavior data, and then subsequent processing is carried out. The intrusion detection method has the advantages that: through compressed signal sampling, data scale is reduced, and transmission cost is reduced, so that the abnormal condition of the physical layer can be quickly judged.

Description

technical field [0001] The invention relates to an intrusion detection of a wireless network, in particular to a physical layer intrusion detection method of a wireless network based on compressed sensing. Background technique [0002] Wireless technology provides a convenient and inexpensive way of network access. Its wideband frequency spectrum coverage provides a simple, easy-to-use usage model for a large number of users. However, the open access method makes the wireless network vulnerable to various attacks. Intruders can use various intrusion tools to easily attack wireless nodes and cause great damage to wireless networks. In some literatures, attackers usually use wireless jamming devices to damage the network. Among the many attack methods, signal jammers can purposely send signals in frequency bands close to the wireless network to interfere with the physical layer transmission of the wireless network. Jammers can use a variety of tactics to attack a network. ...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the work on intrusion detection of wireless networks focuses on the research on the performance of intrusion detection algorithms, without considering its system operation cost, such as CPU consumption, memory consumption and transmission bandwidth.

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