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Risk address identification method and system and electronic equipment

A technology of address identification and risk, applied in the field of computer data analysis, can solve the problems of lack of judgment methods and low efficiency of manual observation, etc., and achieve the effect of high efficiency and high accuracy of judgment

Pending Publication Date: 2022-04-08
上海品顺信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, manual observation is usually used to identify whether the order addresses are highly similar, but manual observation is inefficient, and second, it lacks a systematic judgment method, making it difficult to accurately measure the similarity of addresses. Therefore, a computer-executable method is needed that can efficiently Identify and measure similarity of risky addresses

Method used

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  • Risk address identification method and system and electronic equipment
  • Risk address identification method and system and electronic equipment
  • Risk address identification method and system and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Embodiment 1: This embodiment provides a risk address identification method, refer to figure 1 As shown, the method includes:

[0049] S110. Obtain order address data.

[0050] Preferably, this step includes:

[0051] S111. Obtain an order address.

[0052] S112. Standardize the order address to obtain standard address data, where the standard address data at least includes hierarchical address data corresponding to each preset classification.

[0053] Specifically, in this embodiment, the preset classifications are grades divided according to administrative levels, specifically including: province or municipality level, prefecture-level city level, district and county level, town or street level, road or village level, land parcel or Community level, building number level and floor household number level.

[0054] In one embodiment, S112 includes:

[0055]S112-1. Analyze the order address in Chinese to obtain grading address data corresponding to each preset gradi...

Embodiment 2

[0111] Embodiment 2: This embodiment provides a risk address identification system, refer to Figure 4 As shown, the system includes:

[0112] The first obtaining module 410 is used to obtain order address data;

[0113] The second obtaining module 420 is used to obtain the target risk address data in the preset risk address library;

[0114] A calculation module 430, configured to calculate address similarity and the distance between the order address and the risk address based on the order address data and the risk address data;

[0115] The identification module 440 is configured to identify whether the order address is risky based on the address similarity, the distance between the order address and the risk address, and preset identification rules.

[0116] Preferably, the first acquisition module 410 includes:

[0117] The first obtaining unit 411 is used to obtain the order address;

[0118] The standard processing unit 412 is configured to standardize the order add...

Embodiment 3

[0136] Embodiment 3: This embodiment provides an electronic device, refer to Figure 5 As shown, the device includes: one or more processors; and

[0137] A memory associated with the one or more processors, the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the risk address identification disclosed in the above embodiments method.

[0138] in, Figure 5 The architecture of the computer system is exemplarily shown, which may specifically include a processor 510 , a video display adapter 511 , a disk drive 512 , an input / output interface 513 , a network interface 514 , and a memory 520 . The processor 510 , video display adapter 511 , disk drive 512 , input / output interface 513 , network interface 514 , and the memory 520 can be connected by communication bus 530 .

[0139] Wherein, the processor 510 may be implemented by a general-purpose CPU (Central Processing Unit, central proce...

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Abstract

The invention discloses a risk address identification method and system and electronic equipment. The method comprises the following steps: acquiring order address data; obtaining target risk address data in a preset risk address library; calculating the address similarity and the distance between the order address and the risk address based on the order address data and the risk address data; identifying whether the order address has a risk based on the address similarity, the distance between the order address and the risk address and a preset identification rule; by calculating the similarity and the distance between the order address data and the target risk address data in the existing risk address database, whether the order address is formed by slightly modifying the risk address is judged, so that whether the order address is the risk address and whether the order has fraud suspicion are judged, the judgment is efficient, and the accuracy is high.

Description

technical field [0001] The invention relates to the field of computer data analysis, in particular to a risk address identification method, system and electronic equipment. Background technique [0002] As an important data asset of e-commerce and financial companies, address data is also an important risk control information. It should play its due value in the Internet risk control and anti-fraud links. At present, in online transactions, many cash-out and fraudulent orders are found through statistics to bypass the existing risk control rules by slightly modifying the order address. For example, the addresses with cash-out and fraud are: "No. 3 **** Road, **** 1 Building 1 Unit 1 Room ALS", "** Road 3 **** 2 Building 4 Unit 5 Room ALS" "," Room 201 ALS, Unit 1, Building 3, ****3, No. 3 ** Road". [0003] At present, manual observation is usually used to identify whether the order addresses are highly similar, but the efficiency of manual observation is low, and the seco...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2455G06F16/29G06F16/22G06F16/903G06F16/909G06Q20/40
Inventor 张忠友
Owner 上海品顺信息科技有限公司