It is well known that IP address databases are of great significance in many fields.
In terms of offensive and defensive positioning in the Internet security industry, by locating IP, determine the source of network attack IP, and conduct network security defense. For example, government agencies can determine the location of the cyber attack by locating the geographic location of the IP attack.
In terms of risk control in the Internet financial industry, Internet financial credit investigation, anti-fraud and location verification. For example, an insurance company can reduce credit risk by determining the location of the customer’s IP and determining whether the customer is present in the place of usual residence.
In terms of the precise placement of Internet online advertisements, its online advertisement placement based on IP geographic location improves the efficiency of advertisement placement. For example, advertisers place advertisements for stores in different regions for IPs in different geographic locations to increase the likelihood of customers buying.
Big data industry location analysis, it provides the data analysis latitude of IP high-precision geographic location, and provides location verification integration services. For example, Internet companies can determine the user's living habits by analyzing the location information of the IP used by customers at different points in time.
In terms of network security, it analyzes the IP addresses used by key infrastructures in industries such as public communications and information services, energy, transportation, water conservancy, finance, key enterprises, and government affairs, and helps government departments to monitor and supervise important data of key institutions and enterprises.
Of course, the function of the IP address database is not limited to the above aspects. So what indicators should the accuracy of IP address positioning depend on? Generally divided into two aspects, the first public index is divided into two types: convergence rate (statistical product positioning rate) and error distance (statistical product accuracy). The test method generally has two situations, the location is known and the location is unknown. When the position is known, provide the distance between the positioning result and the actual position (ie the error distance); when the position is unknown, provide the distance between the positioning results of Evan Technology and other IP positioning products (ie two The error distance of the positioning product).
In order to fully understand the characteristics of IP geolocation products, 4 custom indicators are introduced, namely accuracy, coverage radius, accuracy and consistency. The detailed description is given below.
Public indicators. For IP geolocation products, there are two common indicators: convergence rate and error distance. Convergence rate is the success rate of the specified result, which can also be called the positioning rate. For example, for an IP geolocation product, if 100 IPs are located and 80 IPs are successfully located, the convergence rate of the IP geolocation product is 80%. The error distance is the description of the distance between the latitude and longitude of the positioning result and the "true position" on the premise of successful positioning. There are two cases here. In the first case, if you know the real location, you can directly calculate the distance between the positioning result and the real position; in the second case, if you don’t know the real location, you can calculate the distance between the positioning results of Evan Technology and other IP products. distance. For example, for an IP geolocation product, if the actual location of an IP is at Tsinghua University in Beijing, the location result is Zhongguancun North Street, Haidian District, Beijing, and the distance between the actual location and the location result is 0.2 kilometers, then For the IP, the error distance of the IP product is 0.2 kilometers.
Custom indicators. For IP geolocation products, there are four custom indicators: coverage radius. Due to the regional distribution characteristics of the IP itself, in order to more accurately describe the area of the location IP, we define the coverage radius to illustrate the coverage of the target IP ; Coverage radius refers to the radius of the largest circumscribed circle of the area covered by the IP. Accuracy is the description of the positioning accuracy level of the positioning result under the premise of successful positioning. There are 6 levels, namely continent, country, province, city, district and street. For example, for an IP, if the location result of the IP is 130 Zhongguancun North Street, Haidian District, Beijing, the accuracy of the IP is street level; if the location result of the IP only shows Beijing, the accuracy of the IP For the city level. Accuracy is a description of the accuracy of the positioning result on the premise of successful positioning. It is divided into 10 application scenarios by precision and application scenarios (according to the different IP uses, in addition to the unused IP and Anycast IP, they are divided into 10 application scenarios, which are data centers, school units, organizations, exchange centers, enterprise dedicated lines, residential users, and infrastructure , Public hotspots, mobile networks, and satellite communications) and positioning methods (describe which method is used for positioning, divided into two situations, namely ground acquisition and algorithm positioning) to determine; the higher the accuracy, the higher the accuracy; application scenarios , The smaller the coverage (for example, the coverage of mobile network IP is larger than that of school IP), the higher the accuracy; in terms of positioning methods, ground collection is more accurate than algorithm positioning. We have designed different levels of accuracy from 1 star to 5 stars. The larger the star, the higher the accuracy; the accuracy of 5 stars is higher than the accuracy of 1 star. Consistency, describing the extent to which IP may change over a period of time, is determined by accuracy and application scenarios. The higher the accuracy, the higher the consistency; in terms of application scenarios, the IP of a school unit is more consistent than that of a residential IP. We have designed different levels of consistency from 1 star to 5 stars. The larger the star, the stronger the consistency; the consistency of 5 stars is stronger than the consistency of 1 star.
It is well known that IP address databases are of great significance in many fields.
In terms of offensive and defensive positioning in the Internet security industry, by locating IP, determine the source of network attack IP, and conduct network security defense. For example, government agencies can determine the location of the cyber attack by locating the geographic location of the IP attack.
In terms of risk control in the Internet financial industry, Internet financial credit investigation, anti-fraud and location verification. For example, an insurance company can reduce credit risk by determining the location of the customer’s IP and determining whether the customer is present in the place of usual residence.
In terms of the precise placement of Internet online advertisements, its online advertisement placement based on IP geographic location improves the efficiency of advertisement placement. For example, advertisers place advertisements for stores in different regions for IPs in different geographic locations to increase the likelihood of customers buying.
Big data industry location analysis, it provides the data analysis latitude of IP high-precision geographic location, and provides location verification integration services. For example, Internet companies can determine the user's living habits by analyzing the location information of the IP used by customers at different points in time.
In terms of network security, it analyzes the IP addresses used by key infrastructures in industries such as public communications and information services, energy, transportation, water conservancy, finance, key enterprises, and government affairs, and helps government departments to monitor and supervise important data of key institutions and enterprises.
Of course, the function of the IP address database is not limited to the above aspects. So what indicators should the accuracy of IP address positioning depend on? Generally divided into two aspects, the first public index is divided into two types: convergence rate (statistical product positioning rate) and error distance (statistical product accuracy). The test method generally has two situations, the location is known and the location is unknown. When the position is known, provide the distance between the positioning result and the actual position (ie the error distance); when the position is unknown, provide the distance between the positioning results of Evan Technology and other IP positioning products (ie two The error distance of the positioning product).
In order to fully understand the characteristics of IP geolocation products, 4 custom indicators are introduced, namely accuracy, coverage radius, accuracy and consistency. The detailed description is given below.
Public indicators. For IP geolocation products, there are two common indicators: convergence rate and error distance. Convergence rate is the success rate of the specified result, which can also be called the positioning rate. For example, for an IP geolocation product, if 100 IPs are located and 80 IPs are successfully located, the convergence rate of the IP geolocation product is 80%. The error distance is the description of the distance between the latitude and longitude of the positioning result and the "true position" on the premise of successful positioning. There are two cases here. In the first case, if you know the real location, you can directly calculate the distance between the positioning result and the real position; in the second case, if you don’t know the real location, you can calculate the distance between the positioning results of Evan Technology and other IP products. distance. For example, for an IP geolocation product, if the actual location of an IP is at Tsinghua University in Beijing, the location result is Zhongguancun North Street, Haidian District, Beijing, and the distance between the actual location and the location result is 0.2 kilometers, then For the IP, the error distance of the IP product is 0.2 kilometers.
Custom indicators. For IP geolocation products, there are four custom indicators: coverage radius. Due to the regional distribution characteristics of the IP itself, in order to more accurately describe the area of the location IP, we define the coverage radius to illustrate the coverage of the target IP ; Coverage radius refers to the radius of the largest circumscribed circle of the area covered by the IP. Accuracy is the description of the positioning accuracy level of the positioning result under the premise of successful positioning. There are 6 levels, namely continent, country, province, city, district and street. For example, for an IP, if the location result of the IP is 130 Zhongguancun North Street, Haidian District, Beijing, the accuracy of the IP is street level; if the location result of the IP only shows Beijing, the accuracy of the IP For the city level. Accuracy is a description of the accuracy of the positioning result on the premise of successful positioning. It is divided into 10 application scenarios by precision and application scenarios (according to the different IP uses, in addition to the unused IP and Anycast IP, they are divided into 10 application scenarios, which are data centers, school units, organizations, exchange centers, enterprise dedicated lines, residential users, and infrastructure , Public hotspots, mobile networks, and satellite communications) and positioning methods (describe which method is used for positioning, divided into two situations, namely ground acquisition and algorithm positioning) to determine; the higher the accuracy, the higher the accuracy; application scenarios , The smaller the coverage (for example, the coverage of mobile network IP is larger than that of school IP), the higher the accuracy; in terms of positioning methods, ground collection is more accurate than algorithm positioning. We have designed different levels of accuracy from 1 star to 5 stars. The larger the star, the higher the accuracy; the accuracy of 5 stars is higher than the accuracy of 1 star. Consistency, describing the extent to which IP may change over a period of time, is determined by accuracy and application scenarios. The higher the accuracy, the higher the consistency; in terms of application scenarios, the IP of a school unit is more consistent than that of a residential IP. We have designed different levels of consistency from 1 star to 5 stars. The larger the star, the stronger the consistency; the consistency of 5 stars is stronger than the consistency of 1 star.