Indoor Map Generation and Trajectory Encryption Method Based on Mobile Crowdsourcing Model

Abstract

The invention provides an indoor map generation and track encryption method based on a mobile crowdsourcing mode. A system comprises user side mobile equipment and a clouds server. In order to generate key parameters, each user side carries out channel measurement on the cloud server and sends data to a cloud computer; after the cloud computer receives the data sent by each user side, the cloud computer carries out synchronous channel measurement on each user side which accesses a wireless network, and confirms user identities through comparison; the cloud server generates selectable codes foreach user through utilization of a quantization algorithm; the cloud computer transmits data sets to all users; after each mobile side receives the data sets, each mobile side determines codes allocated by the cloud computer to the mobile side through search; the user sides constructs nonlinear filters for track data encryption through utilization of the codes, and send the data to the cloud server; and the cloud server constructs a symmetrical structure for decryption through utilization of the parameters.

Description

technical field [0001] The invention relates to data security in the field of computer application and mobile communication security, in particular to an indoor map generation and trajectory encryption method based on a mobile crowdsourcing mode. Background technique [0002] Nowadays, various mobile phone positioning and outdoor map navigation software have become one of the indispensable software for people. Famous Internet companies such as Baidu and Google have developed map and navigation services. These currently existing map generation software basically rely on satellite communication technology to provide outdoor road distribution, and use path planning algorithms to provide recommended shortest paths. At the same time, some scholars have proposed to use wifi communication to realize map generation and positioning. However, the existing technologies have the following obvious defects: (1) rely too much on GPS satellite signals, which makes it difficult to carry out...

AI Technical Summary

Problems solved by technology

However, the existing technologies have the following obvious defects: (1) rely too much on GPS satellite signals, which makes it difficult to carry out effective path detection in indoor environments; (2) have high requirements for professional equipment and communication networks, such as based on wifi The current map generation and positioning method has high requirements on the reliability of the wireless network; manual surveying and mapping requires a lot of manpower and surveying and mapping equipment

Moreover, the state of the wireless channel is usually time-varying and irreproducible, and the third party cannot obtain any valid information from the communication between the client and the cloud computer

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