Data collection gateway of internet of things and data encryption method

Abstract

The invention provides a data collection gateway of an internet of things and a data encryption method and belongs to the field of the internet of things. The data collection gateway of the internet of things sequentially comprises a communication hardware abstraction layer, an application layer communication protocol layer, a protocol adaptation layer, a protocol conversion control layer and a human-machine interface from bottom to top. The communication hardware abstraction layer abstracts various communication modes into a communication module. The application layer communication protocol layer packages data of the communication hardware abstraction layer according to application layer communication protocols corresponding to the data, and the packaged data packets are submitted by the application layer communication protocol layer to the protocol adaptation layer to be analyzed. The protocol adaptation layer recognizes and analyzes the data packets provided by the application layer communication protocol layer and submits the data packets to a protocol conversion module of the protocol conversion control layer. The protocol conversion control layer controls the protocol adaptation layer and the application layer communication protocol layer and provides a calling service for a human-machine interface layer.

Description

technical field [0001] The invention belongs to the field of the Internet of Things, and in particular relates to an Internet of Things data collection gateway and a data encryption method. Background technique [0002] Data is the carrier of information and an important resource in the information world; data collection has always attracted people's attention. The data collection gateway completes data collection, storage and forwarding, communication protocol conversion, software and hardware resource management and other functions, and is a key device in the fields of industrial and agricultural automation, informatization, and intelligence. Monitoring, management and control of building energy consumption data is an important guarantee for energy conservation. [0003] Data acquisition began in the 1950s. In 1956, the United States first studied the data acquisition test system used in the military. At present, countries with advanced technology in the world have widel...

AI Technical Summary

Problems solved by technology

[0010] In short, the current problems of IoT gateways are poor scalability, chaotic hierarchical division, and difficult implementation of software codes.

The networking methods of the sensing layer are various, and different networking methods have various security risks. For example, the RFID system has the following three types of security risks: 1) For RDIDs that can be written multiple times or reprogrammed Electronic tags (such as RFID that supports ISO standards), any user who can access the RFID reader or a reader built by a criminal can communicate with the RFID electronic tag, and it is very easy to read, tamper or even delete the content of the electronic tag; for Electronic tags that only allow one-time writing, there is no tampering to delete the content of the electronic tag, but the content of the electronic tag can still be read

2) For RFID systems that lack identity authentication, illegals can forge electronic tags to communicate with the reader, and then communicate with the background service system, causing many unsafe factors

3) Since the reader who reads the electronic tag does not give any hints to the tag owner, for the mobile RFID electronic tag, the tag owner can easily reveal his whereabouts without knowing it

There are a variety of heterogeneous networks in the Internet of Things, which requires transmission to efficiently interconnect networks of different architectures, which will cause the transmission layer to face cross-network authentication problems, and may be subject to denial of service (DoS) attacks, man-in-the-middle attacks, Asynchronous attacks, collusion attacks, etc.; in a sense, as long as any illegal person can access any network connected to the Internet of Things, it may deter the entire Internet of Things [15]

The application layer has a large amount of data from a large number of terminals. The first possible hidden danger is denial of service. False requests and forged data from various heterogeneous networks will reduce the processing capacity of the application layer or even paralyze it. [12] ;Secondly, there are more components of manual intervention in the application layer than in the sensing layer and the transmission layer, there may be bad behaviors such as intentionally destroying data, and it is more likely that data information is lost due to improper operation; it can be said that stealing, destroying Data at the application layer is much easier than at the transport layer and network layer, and a computer person who is not very professional can do it

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