CN115643070A - Improved system and method for logging into VDI and IDV cloud desktops based on biometric features - Google Patents

Abstract

The improved system comprises a biological characteristic response module, a user module, an offline login module, a random algorithm module, a desktop starting module, a business module and a monitoring module; the improved method comprises the following steps: 1) When the fact that the biological characteristics are close to the terminal is recognized, biological characteristic data are collected; 2) Data acquisition is carried out on a user, and a comparison model is established for information of a database and is stored in the database; 3) Packaging the biological characteristics and login information and sending the biological characteristics and the login information to a server, comparing data information with data stored in a database, successfully logging in after user information is matched, and starting a desktop starting module; 4) After successful login, randomly dividing user information into n parts and sending the n parts of user information to n terminals; 5) When a user logs in next time, an offline login module is started, the fragment data of the n terminals are combined and spliced in sequence, and compared with the biological characteristic information acquired by the terminals, matching is successful, and logging is successful; 6) And updating the data stored on the terminal.

Description

Improved system and method for logging into VDI and IDV cloud desktops based on biometric features

technical field

The invention belongs to the technical field of cloud desktops, and in particular relates to an improved system and method for logging into VDI and IDV cloud desktops based on biometric features.

Background technique

With the development of technology, it has become more and more common to use biometrics to log in to machines, especially on the PC side. VDI Chinese refers to virtual desktop architecture, and IDV Chinese refers to intelligent desktop virtualization. However, the use of VDI/IDV cloud desktops is relatively conservative. Traditional VDI/IDV cloud desktop biometric logins collect biometrics centrally and enter them into the database. When the user logs in to the terminal, the biometrics at the moment are collected, the collected data is packaged and sent to the server, the data is compared on the server, and the corresponding parameters or the corresponding desktop are returned according to the comparison results. This biometric login method has the following problems:

1) When the server network is limited, end users cannot log in quickly and safely;

2) If the terminal is cracked, all user login information will be leaked.

Contents of the invention

In order to overcome the deficiencies of the above-mentioned prior art, the object of the present invention is to provide an improved system and method for logging into VDI and IDV cloud desktops based on biometric features, which has the characteristics of safer, anti-cracking, and faster login.

In order to achieve the above object, the technical solution adopted by the present invention is: based on the biometric feature login VDI, IDV cloud desktop improvement system, including a biometric response module, a user module, an offline login module, a random algorithm module, a desktop startup module, a business module, monitoring module;

The biometric response module is used to wake up a dormant computer;

The user module is used to store user information, calculate and store user information in a database;

The offline login module is used to enable the terminal to run the desktop normally when the terminal carrying the data block is offline;

The random algorithm module is used to calculate the data blocks that the user is randomly divided into and randomly distribute the data blocks to each terminal;

The desktop startup module is used to send the desktop to the terminal and make the windows desktop run;

The business module is used to collect user information, process the collected data to achieve desired data and send it to the terminal;

The monitoring module is used to monitor changes in user login information.

The improved method for logging in to VDI and IDV cloud desktops based on biometric features includes the following steps:

Step 1, the biometric response module is installed in the running terminal, and when the infrared detector recognizes that there is a biometric approaching the terminal, the biometric recognition function is automatically turned on to collect biometric data;

Step 2, the business module collects data from all users, and establishes a comparison model for the information in the database through an algorithm and stores it in the database;

Step 3: When the user module logs in to the terminal for the first time, it collects the user's biometrics, packages the biometrics and login information and sends them to the server. The data is compared, and the corresponding user information is retrieved. After the user information matches, the login is successful, the desktop startup module is started, and the desktop to be entered is selected;

Step 4. After successful login, use the random algorithm module to randomly divide the user information into n parts, add a number to the name of each data block, obtain n terminals randomly in the database, and randomly send the n data blocks to n terminals;

Step 5: When the user logs in next time, start the offline login module, combine and splicing the fragmented data of n terminals in order, and compare them with the biometric information collected by the terminal. If the matching is successful, the login is successful, and the user's The information is sent to the server, and a long link is established with the server. If the matching fails or some of the n terminals with stored data are offline, resulting in incomplete data blocks that cannot be identified and compared locally, the terminal will continue to communicate with the server. Continue to the fourth step, or you can log in directly with the account password;

Step 6, if the customer's personal biometric information in the database changes or the data is updated, after the monitoring module obtains the data change, it synchronizes the data stored on the n terminals and updates the data stored on the terminals.

The beneficial effects of the present invention are:

1) It still supports terminal login when the network is limited, especially in the fields of voi and idv cloud desktops;

2) To increase security, even if the terminal is cracked, all the logged-in data cannot be obtained and cannot be logged in.

On the basis of the biometric login machine, optimize and improve, add a random algorithm, and use local cross-storage to randomly divide each user's personal information into n data blocks and distribute them to n terminals. The data blocks on the terminal are combined in sequence, and then compared with the collected user information, which frees up the server and enables normal login even when the network is limited.

Description of drawings

Fig. 1 is a functional block diagram of the system of the present invention.

Fig. 2 is a flow chart of the method of the present invention.

Detailed ways

The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

Referring to Figure 1, the biometric-based login VDI and IDV cloud desktop improvement system includes a biometric response module, a user module, an offline login module, a random algorithm module, a desktop startup module, a business module, and a monitoring module;

The biometric response module is used to wake up a dormant computer;

The user module is used to store user information, calculate and store user information in a database;

The offline login module is used to enable the terminal to run the desktop normally when the terminal carrying the data block is offline;

The random algorithm module is used to calculate the data blocks that the user is randomly divided into and randomly distribute the data blocks to each terminal;

The desktop startup module is used to send the desktop to the terminal and make the windows desktop run;

The business module is used to collect user information, process the collected data to achieve desired data and send it to the terminal;

The monitoring module is used to monitor changes in user login information.

Referring to Figure 2, the improved method for logging into VDI and IDV cloud desktop based on biometric features includes the following steps:

Step 1, the biometric response module is installed in the running terminal, and when the infrared detector recognizes that there is a biometric approaching the terminal, the biometric recognition function is automatically turned on to collect biometric data;

Step 2, the business module collects data from all users, and establishes a comparison model for the information in the database through an algorithm and stores it in the database;

Step 3: When the user module logs in to the terminal for the first time, it collects the user's biometrics, packages the biometrics and login information and sends them to the server. The data is compared, and the corresponding user information is retrieved. After the user information matches, the login is successful, the desktop startup module is started, and the desktop to be entered is selected;

Step 4. After successful login, use the random algorithm module to randomly divide the user information into n parts, add a number to the name of each data block, obtain n terminals randomly in the database, and randomly send the n data blocks to n terminals;

Step 5: When the user logs in next time, start the offline login module, combine and splicing the fragmented data of n terminals in order, and compare them with the biometric information collected by the terminal. If the matching is successful, the login is successful, and the user's The information is sent to the server, and a long link is established with the server. If the matching fails or some of the n terminals with stored data are offline, resulting in incomplete data blocks that cannot be identified and compared locally, the terminal will continue to communicate with the server. Continue to the fourth step, or you can log in directly with the account password;

Step 6, if the customer's personal biometric information in the database changes or the data is updated, after the monitoring module obtains the data change, it synchronizes the data stored on the n terminals and updates the data stored on the terminals.

Explanation of terms, full Chinese explanation of the English abbreviations appearing in the manual

Terminal: It is an input and output device connected to a computer system, usually far away from the computer.

Cloud desktop: Also known as desktop virtualization and cloud computer, it is a new model that replaces traditional computers.

Server: Serves the client, such as providing resources to the client and saving client data.

VDI (Virtual Desktop Infrastructure virtual desktop infrastructure). VDI is a virtual desktop infrastructure with centralized storage and centralized computing, which belongs to cloud desktop technology. This architecture is to concentrate all the data operations of the user's desktop on the server side, and the user's desktop receives only the operating system environment. VDI has great advantages in desktop mobility, server architecture design, centralized management control, and data security.

IDV (Intelligent Desktop Virtualization server-based computing model). It is a server-based computing model, and borrows the traditional thin client model, so that administrators and users can obtain the advantages of two methods at the same time: all desktop virtual machines are hosted in the data center and managed in a unified manner; at the same time, users A complete PC experience can be obtained, that is, users can obtain the same user experience as a traditional PC through a thin client or similar device in a local area network or remote access.

VOI (Virtual Operatingsystem Infrastructure virtual operating system infrastructure). VOI does not have any hardware virtualization layer. It is a diskless workstation model. VOI is a framework for centralized storage and distributed computing. This mode is to store system data on the server side and run the desktop on the client machine. The client only needs to load the operating system and applications from the server to the local cache when it starts up, so that the local computer can be used normally. This mode supports offline operation and centralized security management of the desktop system, and the desktop performance fully maintains the experience of a traditional PC, there is no compatibility problem, and it supports local machine startup without a hard disk. Further improvements have been made to data security and hardware simplification.

Claims (2)

1. The improved system is characterized by comprising a biological characteristic response module, a user module, an offline login module, a random algorithm module, a desktop starting module, a business module and a monitoring module;

the biological characteristic response module is used for waking up the dormant computer;

the user module is used for storing user information, calculating the user information and storing the user information in a database;

the off-line login module is used for enabling the terminal carrying the data block to normally run a desktop when the terminal is off-line;

the random algorithm module is used for calculating data blocks randomly divided by the user and randomly distributing the data blocks to each terminal;

the desktop starting module is used for issuing the desktop to the terminal and enabling the windows desktop to run;

the service module is used for acquiring user information, processing the acquired data to achieve expected data and issuing the expected data to the terminal;

the monitoring module is used for monitoring the change of the login information of the user.

2. A biological characteristic login VDI and IDV cloud desktop improvement method is characterized by comprising the following steps:

step 1, a biological characteristic response module is installed in an operating terminal, and when a biological characteristic is identified to be close to the terminal through an infrared detector, a biological characteristic identification function is automatically started to collect biological characteristic data;

step 2, the business module collects data of all users, establishes a comparison model for information of a database through an algorithm and stores the comparison model into the database;

step 3, when a user module logs in a terminal for the first time, acquiring the biological characteristics of the user, packaging the biological characteristics and login information and sending the biological characteristics and the login information to a server, establishing a comparison model for the packaged data information by the service module through an algorithm, comparing the comparison model with data stored in a database, retrieving corresponding user information, successfully logging in after the user information is matched, starting a desktop starting module, and selecting a desktop to enter;

step 4, after successful login, randomly dividing the user information into n parts by using a random algorithm module, adding a serial number to the name of each data block, randomly acquiring n terminals in a database, and randomly sending the n parts of data blocks to the n terminals;

step 5, when a user logs in next time, starting an off-line login module, combining and splicing the fragment data of the n terminals in sequence, comparing the fragment data with the biological characteristic information acquired by the terminals, if matching is successful, logging in successfully, sending the information of the user to a server, establishing a long link with the server, and if matching is failed or part of the n terminals with stored data is not on-line, so that data blocks are incomplete and cannot be identified and compared locally, continuing communication between the terminals and the server, continuing the operation of the fourth step, or directly logging in by using an account;

and 6, if the personal biological characteristic information of the client in the database changes or the data is updated, the monitoring module synchronizes the data stored in the n terminals after acquiring the data changes, and updates the data stored in the terminals.

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