AN AUTOMATION SYSTEM THAT ENABLES THE PROCESSING OF MASKED DATA IN A TESTING ENVIRONMENT.

Abstract

This invention relates to a system (1) developed to provide automation solutions for processing masked data in a test environment.

Description

1 TARIFF PROCESSING MASKED DATA IN A TESTING ENVIRONMENT AN AUTOMATION SYSTEM THAT PROVIDES Technical Area 5 This invention provides automation solutions for processing masked data in a test environment. It is related to a system that enables its presentation. Previous Tech 10 Today, the problem of masked data not being able to be processed in a test environment is a concern for many organizations. This poses a serious challenge. The masking process ensures the protection of personal data. while ensuring that this data is used realistically in testing processes. This situation restricts software development and system integration processes. This can lead to inaccurate test results, resulting in a waste of time and resources. Furthermore, the masked data may not sufficiently match the real data, affecting performance and... This also calls into question the validity of security tests, increasing potential risks. Therefore, innovative solutions need to be developed to overcome these problems, and Data masking methods need to be implemented more effectively. 20 Therefore, automation is required so that masked data can be processed in the test environment. It appears that a system is needed that enables the presentation of solutions. United States patent number US2023376406, 25, in the known state of the art. in the document, from data-driven test automation using machine learning It is mentioned that the invention in question involves continuous integration with continuous machine learning. computer platforms that implement data-driven testing through automation by combining them 2 It is related to the production of content through user interactions with a computer platform and an application. It can extract the data, modify it by applying a masking process to the production data. It can generate production data, and modify production data to be suitable for machine learning. can convert to a format and use machine learning to create one or more independent systems. It can generate scenarios. The computer platform uses modified production data to create one of these 5. or the execution of test scripts associated with more than one independent scenario It can be triggered automatically and a version of the application can be released as expected. the results of the test scripts that indicate whether it performs or not can get it. Brief Description of the Invention The aim of this invention is to automate the processing of masked data in a test environment. The goal is to implement a system developed to ensure that solutions are provided. Detailed Description of the Invention Developed to achieve the purpose of this invention, "Masked Data in a Test Environment" An automation system enabling processing is shown in the attached figure; Figure 1 shows a schematic view of the system that is the subject of the invention. The parts shown in the figure are individually numbered, and the corresponding numbers correspond to these numbers. It is given below. 1. System 2. Database 3. Server 3 Automation solutions for processing masked data in a test environment. The system in question, developed to ensure its presentation (1); - Masked data, test scenarios, and processing algorithms are on record. at least one database (2) and 5 configured to ensure its retention - Data whose confidentiality is ensured through masking processes is compared with real data in test scenarios. structured to enable them to be processed and evaluated in this way It contains at least one server (3). The database (2) in the system (1) which is the subject of the invention, can use any communication protocol 10 to communicate with the server (3) and exchange data using It is structured. The database (2) is managed by the server (3). It is being structured. The server (3) in the system (1) which is the subject of the invention, can use any communication protocol 15 to communicate with the database (2) and exchange data using The server (3) is configured to manage the database (2). The server (3) is configured to securely store production data. It is configured to be masked and transferred to the test environment. Server (3), masking production data with specified masking algorithms 20 The server (3) is configured to enable the application of the masking process. the process should be carried out in a way that protects personal information and sensitive data. It is configured to provide. Server (3), after the masking process is completed transferring data to the test environment over a secure connection and the transfer 25 to ensure the protection of data integrity and security throughout the process The server (3) is configured to run test scenarios automatically. and is configured to enable analysis. The server (3) is connected to the test environment. Automatically applying defined test scenarios on the transferred masked data 4 to enable the operation, analysis and reporting of test results It is configured. Server (3), data filtering included in test automations. algorithms Noise Reduction Techniques and Moving Average Filtering, classification algorithms such as Decision Trees, Random Forest, and SVM, and training and The prediction algorithms are in the form of RNN, LSTM and CNN algorithms. 5 and to ensure that the relevant processes are carried out using the algorithms in question The server (3) is configured to convert the masked data into a processable format. by converting it to enable the execution of test scenarios It is configured. The server (3) will run the masked data in the test environment. The structure of the masked data is 10 by converting it to a suitable format for processing. It is structured to ensure that the data is protected and processed as real data. Server (3) allows performance and error detection by analyzing test results. It is structured to provide. The server (3) uses artificial intelligence algorithms. It is configured to enable the evaluation of test results. Server (3), To ensure that anomalies are detected and performance and error reports are generated. 15 It is structured accordingly. The server (3) is the Principal Component in analysis techniques. Analysis (PCA), Clustering Algorithms (K-means, DBSCAN), forecasting ARIMA, AR, ARMA, and anomaly detection using Isolation Forest and One-Class SVM. to enable the use of artificial intelligence algorithms in this form is being configured. Server (3), test results and performance reports 20 created and sent to relevant teams via email, SMS or other notification channels. It is structured to ensure transmission. Industrial Applicability Thanks to the system (1) which is the subject of the invention, masked data can be processed in the test environment. Automation solutions are provided for this purpose. Around these fundamental concepts, the invention focuses on "Masked Data in a Test Environment". A wide variety of applications related to "An Automation System that Enables Processing (1)" It is possible to develop it further, and the invention cannot be limited to the examples described here; the main point is... as stated in the requests.

Claims

6 REQUESTS 1. Automation solutions for processing masked data in a test environment. enabling its presentation; - Record of masked data, test scenarios, and processing algorithms 5 containing at least one database (2) structured to ensure that it is kept under control And -Data whose confidentiality is ensured through masking processes is actually tested in the test scenarios. to enable them to be processed and evaluated in the form of data A system characterized by having at least one server (3) configured (1). 10 2. To communicate with the server (3) using any communication protocol and with the database (2) configured to carry out data exchange A system like the one in Claim 1, characterized (1).

3. Database (2) configured to be managed by Server (3) A system like the one in Claim 1 or 2 that is characterized (1).

4. Communicate with the database (2) using any communication protocol. and characterized by the server (3) configured to carry out data exchange 20 a system like any of the above-mentioned requests (1).

5. Characterized by the server (3) configured to manage the database (2). a system like any of the above-mentioned requests (1).

6. Production data is securely masked and transferred to the test environment. characterized by the server (3) configured to enable its transfer a system like any of the above requests (1). 7 7. Production data with defined masking algorithms Server (3) configured to enable the application of masking process a system like any of the above characterized demands (1).

8. The masking process must be designed to protect personal information and sensitive data. 5 characterized by the server (3) configured to enable its implementation. a system like any of the above-mentioned requests (1).

9. Test the masked data over a secure connection. transferring it to the environment and ensuring data integrity and security during the transfer process. 10 characterized by the server (3) configured to ensure its protection a system like any of the above requests (1).

10. Automated execution and analysis of test scenarios. The above 15 is characterized by the server (3) configured to provide a system like any of the requests (1).

11. Tests defined on masked data transferred to the test environment. automatic execution of scenarios, analysis of test results 20 with server (3) configured to enable the monitoring and reporting. a system like any of the above characterized demands (1).

12. Noise in data filtering algorithms used in test automation. Reduction Techniques and Moving Average Filtering, classification. algorithms such as Decision Trees, Random Forest, and SVM, and training and 25 prediction algorithms include algorithms in the form of RNN, LSTM, and CNN. and that the relevant processes are carried out with the algorithms in question the above characterized by the server (3) configured to provide a system like any of the requests (1). 8 13. Converting masked data into a processable format for test scenarios. characterized by the server (3) configured to enable its operation a system like any of the above requests (1).

14. Masked data must be converted to a suitable format for operations to be run in the test environment. 5 By transforming and masking the data, the structure of the data is preserved while maintaining the true data. the server (3) configured to enable processing in this way a system like any of the above characterized demands (1).

15. Analyzing test results to identify performance issues and errors. 10 the above characterized by the server (3) configured to provide a system like any of the requests (1).

16. Evaluating test results using artificial intelligence algorithms. The above 15 is characterized by the server (3) configured to provide a system like any of the requests (1).

17. Identifying anomalies and generating performance and error reports. the above characterized by the server (3) configured to provide a system like any of the requests (1). 20 18. Analysis techniques include Principal Component Analysis (PCA) and Clustering. Algorithms (K-means, DBSCAN), ARIMA, AR, and ARMA are used in prediction. Artificial intelligence in the form of Isolation Forest and One-Class SVM in anomaly detection. Server (3) configured to enable the use of algorithms and 25 a system like any of the above characterized demands (1).

19. Test results and performance reports are generated and sent to the relevant teams via email. To ensure that it is delivered via SMS or other notification channels. 9 any of the above requests characterized by the configured server (3) a system like one of them (1).

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