INTERNET TRAFFIC MONITORING AND REPORTING SYSTEM

Abstract

This invention relates to a system (1) that analyzes and predicts consumption habits by monitoring users' internet traffic in real time.

Description

1 TARIFF INTERNET TRAFFIC MONITORING AND REPORTING SYSTEM Technical Area This invention allows users to monitor internet traffic and consumption in real time. It involves a system that analyzes habits and provides predictions. Previous Technique Today, the role of artificial intelligence in industrial production is increasing steadily, by processing and analyzing large amounts of industrial data, in production processes This allows problems to be identified quickly. This situation, increasing production efficiency, reducing costs, improving product quality, and It enables the implementation of smart manufacturing. However, current technologies have 15 The data processing algorithms used; difficult feature extraction and inadequate data integration. this negatively affects the accuracy and reliability of artificial intelligence models. As a result, the industrial internet is proving inadequate in data processing methods. Therefore, considering the studies and shortcomings in the current technology, 20 when users are found to be using the internet in an unusual or abnormal way A system is needed that detects patterns and provides warnings and reporting. It is understood. Chinese patent no. CN118395129A, which is included in the prior art, 25 in the document, an industrial internet data processing method based on artificial intelligence distribution function and anomaly detection in monitoring data. using its analyses to identify anomalous states of the target object The system in question is described. The system in this invention has a characteristic It begins with defining the function, and according to this function, 30 items belonging to the target object are identified. analyzing the distribution of initial monitoring data, then this 2 It involves the steps to derive a distribution function from the data. The distribution function is the relationship between the initial monitoring data and the expected data. It is used to calculate abnormal values ​​and, based on this data, the target object The first anomaly is identified. Then, the monitoring data is grid-divided. By breaking it down into smaller parts using this method, a detailed anomaly analysis is performed. 5 And second anomalous values ​​are calculated for each piece of data. Based on the second anomalous values, the second anomalous corresponding to the grid data. The situation is being detected. This entire process culminates in a final anomaly related to the target object. by determining the situation based on the first and second abnormal conditions This results in... From a technical standpoint, the invention increases the sensitivity of data analysis, thereby identifying anomalies 10. It improves detection accuracy and breaks down data into smaller pieces for detailed analysis. This approach facilitates separation. This approach is more suitable in the industrial internet environment. It aims to provide a reliable and efficient data processing system. Brief Description of the Invention 15 The purpose of this invention is to monitor users' internet traffic in real time and By analyzing platform-based usage patterns, we can determine user data consumption. a system that provides predictions and AI-powered optimization suggestions to accomplish. 20 Detailed Description of the Invention The "Internet Traffic Monitoring and..." process was carried out to achieve the purpose of this invention. The "Reporting System" is shown in the attached document; this document is numbered 25. 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. The following are given below: 30 3 1. System 2. Database 3. Server By monitoring users' internet traffic in real time, we can analyze their consumption habits. 5 The invention is a system that analyzes and provides predictions (1); - users' platform type, usage time, data consumption amount, and historical data. at least one database structured to keep track of consumption patterns (2) and, - Internet traffic and consumption from users taken from the database (2) 10 analyzing data using artificial intelligence and machine learning algorithms, To detect anomalies using clustering algorithms, and to provide reports to the user. at least one server configured to provide data consumption optimization (3) It includes. The database (2) in the system (1) which is the subject of the invention, any communication protocol to communicate with the server (3) and exchange data using It is structured. The database (2) is managed by the server (3). is structured. The database (2) measures the amount of data used by the user, usage Time, frequency of use, and user-specific internet behaviors are recorded. It is structured to hold. The server (3) in the system (1) which is the subject of the invention, uses any communication protocol to communicate with the database (2) and exchange data using It is configured to do so. The server (3) receives 25 users from the database (2). incoming internet traffic and consumption data, artificial intelligence and machine learning It is structured to analyze using algorithms. Server (3), AutoRegressive Integrated Moving Average Average (ARIMA), Prophet time series analysis and K-means clustering method, Density-based spatial clustering of noisy applications (Density-Based 30 Spatial Clustering of Applications with Noise (DBSCAN) clustering techniques 4 It is designed to learn the user's internet usage patterns. Server (3) displays the data consumption patterns of users during specific time periods. Package optimization by learning and predicting future data usage. It is structured to present suggestions. Server (3), unusual internet to identify use cases and inform the user about these anomalies 5 It is configured to inform the server (3), weekly or monthly users. By generating reports, they help users make their data consumption more efficient. It is structured to enable the making of recommendations. Industrial Application of the Invention 10 The system in question (1) analyzes users' internet traffic data; platform, time By analyzing based on time slice and data consumption amount, AI-powered forecasting and optimization methods for internet service providers, mobile Optimize the use of data packets for operator and user-oriented applications 15 This provides a cost advantage and ensures user satisfaction. Based on these fundamental concepts, the invention focuses on "Internet Traffic Monitoring and Reporting". It is possible to develop a wide variety of applications related to the System (1)”, and the invention This cannot be limited to the examples described here, but is primarily based on the 20 points stated in the claims. It is like that.

Claims

REQUESTS 1. Monitoring users' internet traffic in real time to track consumption. Analyzing their habits and providing predictions; - users' platform type, usage time, data consumption amount and 5 The best way to keep a record of past data consumption patterns containing a small database (2), - Internet traffic and consumption from users taken from the database (2) analyzing data using artificial intelligence and machine learning algorithms, Detecting anomalies using clustering algorithms and providing reports to the user. 10 at least configured to provide and optimize data consumption a system (1) characterized by a server (3).

2. Communicate with the server (3) using any communication protocol. and the database (2) configured to carry out data exchange 15 A system like the one in Claim 1, characterized (1).

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

4. The amount of data used by the user, the time spent using it, and the frequency of use. to keep a record of user-specific internet behaviors from the above requests characterized by the structured database (2) a system like any other (1).

5. Communicate with the database (2) using any communication protocol. with the server (3) configured to establish and exchange data a system like any of the above characterized claims (1). 6 6. Internet traffic and consumption from users received from the database (2). analyze data using artificial intelligence and machine learning algorithms the above is characterized by the server (3) configured to do so. a system like any of the requests (1).

7. Integrated autoregressive moving average, Prophet time series analysis, and K-means clustering method, density-based for noisy applications spatial clustering clustering techniques user internet with server (3) configured to learn usage patterns A system like any of the above characterized claims 10 (1).

8. Users' data consumption patterns during specific time periods. Package optimization by learning and predicting future data usage. 15 characterized by the server (3) configured to present proposals a system like any of the above requests (1).

9. Identifying unusual internet usage patterns and these anomalies with the server configured to inform the user about (3) A system like any of the above-mentioned described requirements 20 (1).

10. Generate weekly or monthly user reports to provide users with data. to make suggestions for them to make their consumption more efficient The above 25 is characterized by the server (3) configured to provide a system like any of the requests (1).

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