CN117041983A - Mobile terminal equipment fingerprint generation method and system capable of dynamically adjusting parameters - Google Patents
Mobile terminal equipment fingerprint generation method and system capable of dynamically adjusting parameters Download PDFInfo
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- CN117041983A CN117041983A CN202311286893.6A CN202311286893A CN117041983A CN 117041983 A CN117041983 A CN 117041983A CN 202311286893 A CN202311286893 A CN 202311286893A CN 117041983 A CN117041983 A CN 117041983A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000013507 mapping Methods 0.000 claims abstract description 19
- 238000004806 packaging method and process Methods 0.000 claims abstract description 14
- 238000004364 calculation method Methods 0.000 claims description 17
- 238000009434 installation Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 230000001172 regenerating effect Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 101100264195 Caenorhabditis elegans app-1 gene Proteins 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000003442 weekly effect Effects 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/60—Context-dependent security
- H04W12/69—Identity-dependent
- H04W12/79—Radio fingerprint
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The method specifically comprises the following steps: s1: acquiring equipment information, storing the equipment information into a database, and generating a weight mapping table according to the equipment information; s2: acquiring equipment information of the fingerprint to be matched, storing the equipment information into a database, matching the fields of the fingerprint equipment to be matched with a weight mapping table, and if the corresponding values are not matched, setting the weights of the fields of the fingerprint equipment to be matched as preset values; s3: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, and generating equipment fingerprints of the fingerprint equipment to be matched based on the equipment field weight values through the real-time search engine. According to the mobile terminal equipment fingerprint generation method and system with the dynamically adjusted parameters, under the conditions that the IMEI cannot be acquired and the acquisition missing rate of the wireless Mac is high, the equipment parameters and the parameter weight values for dynamically adjusting and generating the equipment fingerprints can be used for replacing uniqueness of the IMEI and other important equipment parameters, so that the unique equipment fingerprints can be accurately generated.
Description
Technical Field
The invention relates to the technical field of fingerprint generation of mobile terminal equipment, in particular to a method and a system for generating a fingerprint of mobile terminal equipment with dynamically adjusted parameters.
Background
The equipment fingerprint plays an important role in various aspects such as identity verification, activity monitoring, abnormal behavior monitoring, fraud risk identification and the like in the financial industry; the international mobile equipment identification code (International Mobile Equipment Identity, IMEI) is what we commonly call a mobile equipment serial number, and is used for identifying each independent mobile communication device such as a mobile phone in a mobile phone network, which is equivalent to an identity card of the mobile phone; in the past, an android system can generally directly access and acquire IMEI field information, along with increasing importance of countries to user privacy and data security, some countries and regions have limited application programs and services from the aspect of laws and regulations to acquire and access IMEI and other sensitive information, along with gradual perfection of supervision, acquisition of some important device parameters required by generating device fingerprints of the android system is more difficult, and under the condition that IMEI and other device information such as a wifiMac, an android id and the like cannot be acquired or are missing, the accuracy of generating the device fingerprints is also exponentially reduced; it is critical in the financial field to reduce the degree of reliance on IMEI in generating unique device fingerprints.
The information such as the IMEI, the android id and the wifiMac is important equipment information for generating the equipment fingerprint of the android mobile phone, and the algorithms for generating the equipment fingerprint in the current industry are different, but the algorithms depend strongly on the equipment attributes such as the IMEI, the android id and the wifiMac due to the particularity and the uniqueness of the IMEI attributes, and the weight of each attribute is different, especially the weight of the IMEI is the largest in the process of generating the equipment fingerprint, so that the accuracy of generating the equipment fingerprint is seriously reduced due to the lack of the IMEI; at present, under the supervision requirement, IMEI can not be acquired, and the deficiency of the acquisition of the wireless Mac information is serious, so that great influence is generated on the fingerprints of the android mobile phone generating equipment, and the same mobile phone equipment can not be accurately identified.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a mobile terminal equipment fingerprint generation method and a system for dynamically adjusting parameters, which can replace uniqueness of an IMEI and other important equipment parameters by dynamically adjusting equipment parameters and parameter weight values for generating equipment fingerprints under the conditions that the IMEI cannot be acquired and the acquisition loss rate of a wifiMac is high, so that the unique equipment fingerprint can be accurately generated.
In order to achieve the purpose of the present invention, the present invention provides a method for generating a fingerprint of a mobile terminal device for dynamically adjusting parameters, comprising the steps of:
s1: acquiring equipment information, storing the equipment information into a database, and generating a weight mapping table according to the equipment information;
s2: acquiring equipment information of the fingerprint to be matched, storing the equipment information into a database, matching the fields of the fingerprint equipment to be matched with a weight mapping table, and if the corresponding values are not matched, setting the weights of the fields of the fingerprint equipment to be matched as preset values;
s3: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, and generating equipment fingerprints of the fingerprint equipment to be matched based on the equipment field weight values through the real-time search engine.
Preferably, the device information in step S1 specifically includes:
the device information includes: APP install package path code, system ID, confimac address, equipment vendor and equipment model fields.
Preferably, the specific steps of the step S1 include:
acquiring equipment information within a preset time, storing the equipment information into a database, calculating a weight value of the equipment field information based on the discrete rate and the non-empty rate of the equipment field information, and generating a weight mapping table based on the weight value.
Preferably, the specific step of calculating the weight value of the device field information in the step S1 based on the discrete rate and the non-null rate of the device field information includes:
the calculation formula of the discrete rate calculation weight is as follows:
；
the calculation formula of the non-empty rate calculation weight is as follows:
；
the weight calculation formula of the acquired equipment field is as follows:
；
where i is the device field of the acquisition,for the number of de-duplicated device fields,for the total amount of device fields collected, +.>Is the number of missing device fields.
Preferably, the specific step of obtaining the device information of the fingerprint to be matched in the step S2 and storing the device information in the database is:
and acquiring the equipment information of the fingerprints to be matched, storing the equipment information into a database, judging whether the APP installation package path codes of the fingerprints of the equipment to be matched exist in the database, and if not, expanding column information aiming at the APP installation package path codes.
Preferably, the specific steps of the step S3 are as follows:
and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, matching the weight values of the fields of the equipment based on a BM25 scoring algorithm in the real-time search engine, and generating the equipment fingerprints of the fingerprint equipment to be matched according to the matching result.
Preferably, the specific steps of the step S3 include:
when the matching result is not null, taking the device fingerprint corresponding to the device field with the highest priority as the device fingerprint of the fingerprint device to be matched;
and when the matching result is empty, regenerating a 36-bit UUID code as the device fingerprint of the fingerprint device to be matched, and recording the device fingerprint information into a real-time search engine database for storage.
Preferably, the specific steps of the step S3 include:
when the matching result is not null, taking the device fingerprint corresponding to the device field with the highest priority as the device fingerprint of the fingerprint device to be matched;
comparing the equipment field with the highest priority with all fields of the equipment to be matched with the fingerprint, and when the comparison results are consistent, not processing; and when the comparison results are inconsistent, storing the equipment field information of the fingerprints to be matched into a real-time search engine database.
Preferably, the present invention also provides a mobile terminal device fingerprint generating system for dynamically adjusting parameters, including:
a first data processing module: acquiring equipment information, storing the equipment information into a database, and generating a weight mapping table according to the equipment information;
and a second data processing module: acquiring equipment information of the fingerprint to be matched, storing the equipment information into a database, matching the fields of the fingerprint equipment to be matched with a weight mapping table, and if the corresponding values are not matched, setting the weights of the fields of the fingerprint equipment to be matched as preset values;
fingerprint generation module: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, and generating equipment fingerprints of the fingerprint equipment to be matched based on the equipment field weight values through the real-time search engine.
Preferably, the fingerprint generation module specifically includes:
fingerprint generation module: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, matching the weight values of the fields of the equipment based on a BM25 scoring algorithm in the real-time search engine, and generating the equipment fingerprints of the fingerprint equipment to be matched according to the matching result.
The beneficial effects of the invention are as follows: according to the mobile terminal equipment fingerprint generation method and system with the dynamically adjusted parameters, the uniqueness of the IMEI and other important equipment parameters can be replaced by using the equipment parameters and the parameter weight values for dynamically adjusting and generating the equipment fingerprints under the conditions that the IMEI cannot be acquired and the acquisition loss rate of the wireless Mac is high, so that the unique equipment fingerprints can be accurately generated.
Drawings
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments of the invention, as illustrated in the accompanying drawings. Like reference numerals refer to like parts throughout the drawings, and the drawings are not intentionally drawn to scale on actual size or the like, with emphasis on illustrating the principles of the invention.
Fig. 1 is a flow chart of a method for generating a fingerprint of a mobile terminal device for dynamically adjusting parameters according to an embodiment of the present invention;
fig. 2 is a specific flowchart of a method and a system for generating a fingerprint of a mobile terminal device with dynamically adjusted parameters according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and specific examples, so that those skilled in the art can better understand the present invention and implement it, but the examples are not limited thereto.
Referring to fig. 1-2, an embodiment of the present invention provides a method for generating a fingerprint of a mobile terminal device with dynamically adjusted parameters, including the following steps:
s1: acquiring equipment information, storing the equipment information into a database, and generating a weight mapping table according to the equipment information;
s2: acquiring equipment information of fingerprints to be matched and storing the equipment information into a database, matching fields of the fingerprint equipment to be matched with a weight mapping table (mapping a weight value of each field based on equipment information records to be matched and the weight information table), and if the corresponding value is not matched (or no mapping code corresponds), setting the weight of the fields of the fingerprint equipment to be matched as a preset value (the preset value is usually 0);
s3: and packaging the fields and the corresponding weight values of the fingerprint equipment to be matched into a real-time search engine, and generating equipment fingerprints of the fingerprint equipment to be matched based on the equipment field weight values through the real-time search engine (by dynamically adjusting equipment information and the weight values, matching the equipment fingerprints corresponding to the records with highest similarity found by means of a similarity algorithm of the ES to serve as the equipment fingerprints of the current records to be matched).
Referring to fig. 1-2, in a preferred embodiment, the device information in step S1 specifically includes:
the device information includes: APP installation package path code, android system ID, wifiMac address, equipment manufacturer and equipment model field (in the scope of monitoring requirement, the APP installation list is based on the APP installation package path code of APP is obtained as the important information of equipment fingerprint generation, and meanwhile, the equipment information which can be collected at present such as android system ID, wifiMac address, equipment manufacturer and equipment model is cited).
Referring to fig. 1-2, in a preferred embodiment, the specific steps of step S1 include:
acquiring equipment information within a preset time (usually a week, 3-5 days or a month, and specifically according to actual conditions, adjusting) and storing the equipment information into a database, calculating weight values of the equipment field information based on the discrete rate and the non-empty rate of the equipment field information (dynamic analysis is triggered and calculated to acquire the weight values of the fields based on the acquired parameters in a weekly timing mode, and comprehensively calculating the weight values of the acquired fields from the discrete rate and the non-empty rate of the acquired information respectively), and generating a weight mapping table based on the weight values.
Referring to fig. 1-2, in a further preferred embodiment, the specific step of calculating the weight value of the device field information based on the discrete rate and the non-null rate of the device field information in step S1 includes:
the calculation formula of the discrete rate calculation weight is as follows:
；
the calculation formula of the non-empty rate calculation weight is as follows:
；
the weight calculation formula of the acquired equipment field is as follows:
；
where i is the device field of the acquisition,for the number of de-duplicated device fields,for the total amount of the collected device fields (or the total amount of the device sample data), +.>Is the number of missing device fields.
Referring to fig. 1-2, in a further preferred embodiment, the specific steps of acquiring the device information of the fingerprint to be matched and storing the device information in the database in step S2 are as follows:
acquiring equipment information of the fingerprints to be matched, storing the equipment information into a database, judging whether an APP installation package path code of the fingerprints of the equipment to be matched exists in the database, and if not, expanding column information aiming at the APP installation package path code;
specific: storing the equipment information record to be matched into an oracle (database), and dynamically expanding column information of the oracle table if the app name exists in the current equipment record and is not in the database table column; and analyzing the device information record of the device fingerprint to be matched at present to store oracle, and aiming at the column information of the newly-added app path code dynamic newly-added table.
Referring to fig. 2, in a preferred embodiment, the specific steps of step S3 are as follows:
and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, matching the weight values of the fields of the equipment based on a BM25 scoring algorithm in the real-time search engine, and generating the equipment fingerprints of the fingerprint equipment to be matched according to the matching result.
Specific: and packaging all fields of the records to be matched and the corresponding weight values into a request ES, quickly matching the fields based on a BM25 scoring algorithm to the corresponding records in the ES, and returning the records according to the ranking from high to low, so that the record of the first record in the result set returned to the client is the record with the highest similarity, and taking the equipment fingerprint information corresponding to the first record in the ES result set as the equipment fingerprint of the record to be matched.
Referring to fig. 2, in a further preferred embodiment, the specific steps of step S3 include:
when the matching result is not null, taking the device fingerprint corresponding to the device field with the highest priority as the device fingerprint of the fingerprint device to be matched;
and when the matching result is empty, regenerating a 36-bit UUID code as the device fingerprint of the fingerprint device to be matched, and recording the device fingerprint information into a real-time search engine database for storage.
Referring to fig. 2, in a preferred embodiment, the specific steps of step S3 include:
when the matching result is not null, taking the device fingerprint corresponding to the device field with the highest priority as the device fingerprint of the fingerprint device to be matched;
comparing the device field with the highest priority with all fields of the device to be matched with the fingerprint, and when the comparison results are consistent, not performing processing (comparing whether the device information field of the first record in the current ES result set is the same as each field value in the record to be matched, and if all the device information fields are the same, not entering an ES library); and when the comparison results are inconsistent (when any field does not exist or the weight values of the fields are inconsistent), storing the equipment field information of the fingerprints to be matched into a real-time search engine database.
The fingerprint generation method and the fingerprint generation system mainly aim at fingerprint generation of android system equipment, and the problem to be solved by the invention is to accurately generate unique equipment fingerprints under the conditions that IMEI cannot be acquired and the acquisition missing rate of a wifiMac is high; the invention mainly aims to dynamically adjust equipment parameters and weight values based on weekly timing automatic running batch analysis of historical equipment information data, overcomes the defect that the traditional equipment fingerprint generation needs to strongly depend on fixed parameters and fixed weights, and simultaneously rapidly matches the equipment information record with highest similarity by means of the advantages of quick inquiry of mass data of an elastic search (ES for short) open source search engine, support of field weight matching and the like.
Specific examples are as follows:
table 1 (past week history equipment information data)
Calculating the weight value of each piece of equipment information according to a weight calculation formula, wherein the weight value is specifically shown in the following table:
TABLE 2 (data table for each weight)
Assume that the device information to be currently matched is as follows: app1 install package path code is: ERXV3zN3cDi0, app2 installation path code is Efjkd3V2w440d, app3 path code is empty, android id is 71bap7jsfnwi, confimac, manufacturer, model are all empty, assuming that data already exists in the ES historic base, different weight values are set for each field of the current record to be matched, such as android id set weight value of 0.8, app1 set weight value of 0.72, app2 set weight value of 0.25, the remaining field values are empty, the assembled query condition request ES, ES returns the following result record set (Table 3) through internal weight similarity calculation:
table 3 (match result record table)
Based on the ES internal ordering rule, the first record in the returned result set is the record with the highest score, so the record with the serial number of 1 is the record with the highest similarity with the current record to be matched, and the device fingerprint with the serial number of 1 is selected as the device fingerprint of the matched record.
Referring to fig. 1-2, in a preferred embodiment, the present invention further provides a mobile terminal device fingerprint generating system capable of dynamically adjusting parameters, including:
a first data processing module: acquiring equipment information, storing the equipment information into a database, and generating a weight mapping table according to the equipment information;
and a second data processing module: acquiring equipment information of the fingerprint to be matched, storing the equipment information into a database, matching the fields of the fingerprint equipment to be matched with a weight mapping table, and if the corresponding values are not matched, setting the weights of the fields of the fingerprint equipment to be matched as preset values;
fingerprint generation module: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, and generating equipment fingerprints of the fingerprint equipment to be matched based on the equipment field weight values through the real-time search engine.
Referring to fig. 1-2, in a preferred embodiment, the fingerprint generation module specifically includes:
fingerprint generation module: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, matching the weight values of the fields of the equipment based on a BM25 scoring algorithm in the real-time search engine, and generating the equipment fingerprints of the fingerprint equipment to be matched according to the matching result.
The beneficial effects of the invention are as follows: the invention provides a mobile terminal equipment fingerprint generation method and a system for dynamically adjusting parameters, which can replace uniqueness of an IMEI and other important equipment parameters by dynamically adjusting equipment parameters and parameter weight values for generating equipment fingerprints under the conditions that the IMEI cannot be acquired and the acquisition loss rate of a wireless Mac is high, so that the unique equipment fingerprint can be accurately generated.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A mobile terminal device fingerprint generation method capable of dynamically adjusting parameters is characterized by comprising the following steps:
s1: acquiring equipment information, storing the equipment information into a database, and generating a weight mapping table according to the equipment information;
s2: acquiring equipment information of the fingerprint to be matched, storing the equipment information into a database, matching the fields of the fingerprint equipment to be matched with a weight mapping table, and if the corresponding values are not matched, setting the weights of the fields of the fingerprint equipment to be matched as preset values;
s3: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, and generating equipment fingerprints of the fingerprint equipment to be matched based on the equipment field weight values through the real-time search engine.
2. The method for generating a fingerprint of a mobile terminal device for dynamically adjusting parameters according to claim 1, wherein the device information in step S1 specifically includes:
the device information includes: APP install package path code, system ID, confimac address, equipment vendor and equipment model fields.
3. The method for generating a fingerprint for a mobile terminal device for dynamically adjusting parameters according to claim 1, wherein the specific step of step S1 comprises:
acquiring equipment information within a preset time, storing the equipment information into a database, calculating a weight value of the equipment field information based on the discrete rate and the non-empty rate of the equipment field information, and generating a weight mapping table based on the weight value.
4. The method for generating a fingerprint for a mobile terminal device for dynamically adjusting parameters according to claim 3, wherein the step of calculating the weight value of the device field information based on the discrete rate and the non-null rate of the device field information in the step S1 comprises:
the calculation formula of the discrete rate calculation weight is as follows:
；
the calculation formula of the non-empty rate calculation weight is as follows:
；
the weight calculation formula of the acquired equipment field is as follows:
；
where i is the device field of the acquisition,for the number of de-duplicated device fields,for the total amount of device fields collected, +.>Is the number of missing device fields.
5. The method for generating the mobile terminal device fingerprint according to claim 1, wherein the step S2 of obtaining the device information of the fingerprint to be matched and storing the device information in the database comprises the specific steps of:
and acquiring the equipment information of the fingerprints to be matched, storing the equipment information into a database, judging whether the APP installation package path codes of the fingerprints of the equipment to be matched exist in the database, and if not, expanding column information aiming at the APP installation package path codes.
6. The method for generating a fingerprint of a mobile terminal device for dynamically adjusting parameters according to claim 1, wherein the specific steps of step S3 are as follows:
and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, matching the weight values of the fields of the equipment based on a BM25 scoring algorithm in the real-time search engine, and generating the equipment fingerprints of the fingerprint equipment to be matched according to the matching result.
7. The method for generating a fingerprint for a mobile terminal device for dynamically adjusting parameters according to claim 6, wherein the specific step of step S3 comprises:
when the matching result is not null, taking the device fingerprint corresponding to the device field with the highest priority as the device fingerprint of the fingerprint device to be matched;
and when the matching result is empty, regenerating a 36-bit UUID code as the device fingerprint of the fingerprint device to be matched, and recording the device fingerprint information into a real-time search engine database for storage.
8. The method for generating a fingerprint for a mobile terminal device for dynamically adjusting parameters according to claim 7, wherein the specific step of step S3 comprises:
when the matching result is not null, taking the device fingerprint corresponding to the device field with the highest priority as the device fingerprint of the fingerprint device to be matched;
comparing the equipment field with the highest priority with all fields of the equipment to be matched with the fingerprint, and when the comparison results are consistent, not processing; and when the comparison results are inconsistent, storing the equipment field information of the fingerprints to be matched into a real-time search engine database.
9. A mobile terminal device fingerprint generation system for dynamically adjusting parameters, comprising:
a first data processing module: acquiring equipment information, storing the equipment information into a database, and generating a weight mapping table according to the equipment information;
and a second data processing module: acquiring equipment information of the fingerprint to be matched, storing the equipment information into a database, matching the fields of the fingerprint equipment to be matched with a weight mapping table, and if the corresponding values are not matched, setting the weights of the fields of the fingerprint equipment to be matched as preset values;
fingerprint generation module: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, and generating equipment fingerprints of the fingerprint equipment to be matched based on the equipment field weight values through the real-time search engine.
10. The mobile terminal device fingerprint generation system of claim 9, wherein the fingerprint generation module specifically comprises:
fingerprint generation module: and packaging the fields of the fingerprint equipment to be matched and the corresponding weight values into a real-time search engine, matching the weight values of the fields of the equipment based on a BM25 scoring algorithm in the real-time search engine, and generating the equipment fingerprints of the fingerprint equipment to be matched according to the matching result.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107423613A (en) * | 2017-06-29 | 2017-12-01 | 江苏通付盾信息安全技术有限公司 | The method, apparatus and server of device-fingerprint are determined according to similarity |
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| CN112991504A (en) * | 2021-04-09 | 2021-06-18 | 同济大学 | Improved method for filling holes based on TOF camera three-dimensional reconstruction |
| US20210195551A1 (en) * | 2017-11-24 | 2021-06-24 | Huawei Technologies Co., Ltd. | Data Processing Method and Apparatus |
| CN114722437A (en) * | 2022-04-11 | 2022-07-08 | 平安科技（深圳）有限公司 | Cross-APP unique identifier generation method, device, equipment and storage medium |
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- 2023-10-08 CN CN202311286893.6A patent/CN117041983B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107423613A (en) * | 2017-06-29 | 2017-12-01 | 江苏通付盾信息安全技术有限公司 | The method, apparatus and server of device-fingerprint are determined according to similarity |
| US20210195551A1 (en) * | 2017-11-24 | 2021-06-24 | Huawei Technologies Co., Ltd. | Data Processing Method and Apparatus |
| CN110147078A (en) * | 2019-01-25 | 2019-08-20 | 安庆师范大学 | A kind of two procedure of fault-free RGV intelligence system processing dynamic dispatching method |
| CN112991504A (en) * | 2021-04-09 | 2021-06-18 | 同济大学 | Improved method for filling holes based on TOF camera three-dimensional reconstruction |
| CN114722437A (en) * | 2022-04-11 | 2022-07-08 | 平安科技（深圳）有限公司 | Cross-APP unique identifier generation method, device, equipment and storage medium |
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