Method for secure data transmission and legal node authentication in wireless sensing network

Abstract

The invention discloses a method for secure data transmission and legal node authentication in a wireless sensing network. The method comprises the following steps: performing an initialization process of the network; sampling and compressing data at a sensing node by using a compressed sampling network, processing the data by using a preset lightweight Hash algorithm, adding the processed data to the sampled and compressed data, performing homomorphic encryption, and transmitting the data to a sink node; at a sink node end, performing decryption, performing ash comparison, transmitting the data to a joint reconstruction network for reconstruction of information data if the comparison is successful, discarding the data if the comparison is failed, and performing the reputation evaluation of each node is performed while authentication. The method provided by the invention has higher efficiency, the rate is at least five times faster than that of a traditional mode when processing larger data, meanwhile, confidential transmission of the data is well realized, great convenience is provided for point-to-point data transmission in a wireless sensing network, and a lot of energy loss is reduced; and the method is an efficient and energy-saving secure data transmission and legal node authentication scheme.

Description

technical field [0001] The invention relates to the technical field of data collection and transmission, in particular to a method for secure data transmission and legal node authentication in a wireless sensory network. Background technique [0002] With the development of the big data era, wireless sensory networks have a wide range of applications. With the application of wireless sensory networks (WSNs) more and more widely, there are more and more challenges. There are two main challenges that need to be solved: 1. Since the energy of sensory nodes is limited and cannot be supplemented, Once the energy is exhausted, the life of the node will end immediately. Therefore, the first challenge is how to reduce energy consumption to maximize the life of the node. 2. Since the deployment of the network is often difficult to monitor, it is impossible to determine whether the data has been tampered with during data transmission and whether the data comes from a legitimate sensi...

AI Technical Summary

Problems solved by technology

With the application of wireless sensory networks (WSNs) more and more widely, there are more and more challenges. There are two main challenges that need to be solved: 1. Since the energy of sensory nodes is limited and cannot be supplemented, Once the energy is exhausted, the life of the node will end immediately. Therefore, the first challenge is how to reduce energy consumption to maximize the life of the node

2. Since the deployment of the network is often difficult to monitor, it is impossible to determine whether the data has been tampered with during data transmission and whether the data comes from a legitimate sensing node in the network. When the sensing node collects sensitive data, such as medical and military aspects, it is also impossible Determine if data has been tapped

However, it is difficult to ensure safe sharing of the measurement matrix and the insecurity of the communication channel in the communication node. Many works have the problem that the measurement matrix is ​​leaked or cracked by the attacker.

[0005] The existing technology does not consider safety or considers safety but does not consider energy saving and high efficiency in ensuring the reduction of energy consumption

Since data aggregation is an essential link in wireless sensory networks, the use of general cryptographic systems to achieve data security will lead to delays in data transmission, and there are few technologies that consider energy saving and security at the same time and the effect is not very good.

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