CN113407804B - Crawler-based externally hung accurate marking and identifying method and device - Google Patents
Crawler-based externally hung accurate marking and identifying method and device Download PDFInfo
- Publication number
- CN113407804B CN113407804B CN202110795217.6A CN202110795217A CN113407804B CN 113407804 B CN113407804 B CN 113407804B CN 202110795217 A CN202110795217 A CN 202110795217A CN 113407804 B CN113407804 B CN 113407804B
- Authority
- CN
- China
- Prior art keywords
- plug
- marking
- ins
- sample
- file
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/70—Game security or game management aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
-
- 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
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application discloses a method and a device for accurately marking and identifying a plug-in based on a crawler, wherein the method comprises the steps of detecting the update condition of a plug-in sample based on the crawler; downloading the plug-in sample when the plug-in sample update is detected; determining whether the plug-in sample is plug-in; classifying and marking the external hanging when the external hanging sample is determined to be the external hanging; when the file running the program is detected, comparing the file with the classified and marked plug-ins, and identifying whether the file is the plug-in of the current game. Therefore, the method can only detect whether the currently running game is corresponding to the plug-in running or not, does not need a technician to participate in extracting the characteristics, can finish detection under the condition of extremely low occupation of client resources, does not influence the normal experience of a user, accurately detects whether the corresponding game plug-in is started or not for renting numbers in an internet bar scene, and detects and terminates abnormal game behaviors of the user in a cloud computer system so as to prevent the equipment from being blocked by a game manufacturer. The device disclosed in the application has the same advantages as the method.
Description
Technical Field
The invention belongs to the technical field of game safety, and particularly relates to a crawler-based externally hung accurate marking and identifying method and device.
Background
In the existing game plug-in field, with the development of network verification, strong shell technology and cloud service, a client executes a login program, and the plug-in function program can be downloaded from a cloud through network verification, so that the analysis cost of anti-plug-in is increased, the plug-in is usually protected by strong shell to prevent reverse analysis, and the technical threshold for detecting the plug-in a third party angle is also higher and higher. In addition, the plug-in damages the balance of the game, so that the game manufacturer can seal the machine hardware while sealing off the plug-in account, and the game environment provided by the Internet cafe and the cloud computer for the user is likely to be influenced.
Therefore, in internet cafes and cloud computer systems, a method for ensuring that the game client is not affected and accurately detecting the running of the hanging program and stopping the service in time is needed. The existing anti-plug-in method has to be put into analysis by technicians, but the high yield of the plug-in market attracts more and more plug-in authors, and the iteration of the plug-in product is very fast, so that the validity period of the plug-in characteristics extracted by a manual mode is short, and the technical input is high.
In the prior art, the feature codes are detected mainly by scanning the memory in a violent manner, so that technicians are required to update the externally hung feature codes in real time, the actual detection effect is also in direct proportion to the occupation of resources, and partial game security manufacturers try to use big data+AI, but for the enthusiasm of games, the data are often different from those of ordinary players, so that the possibility of accidental injury exists, that is, the probability of false alarm exists in the actual detection.
Disclosure of Invention
In order to solve the problems, the invention provides the method and the device for accurately marking and identifying the plug-in based on the crawler, which can only detect whether the currently running game is corresponding to the plug-in running or not, does not need a technician to participate in extracting the characteristics, can finish detection under the condition of occupying extremely low client resources, and does not influence the normal experience of a user.
The invention provides a crawler-based externally hung accurate marking and identifying method, which comprises the following steps:
detecting the update condition of the plug-in sample based on the crawler;
downloading the plug-in sample when the plug-in sample update is detected;
determining whether the plug-in sample is a plug-in;
classifying and marking the plug-ins when the plug-in samples are determined to be plug-ins;
when a file running the program is detected, comparing the file with the classified and marked plug-ins, and identifying whether the file is the plug-in of the current game.
Preferably, in the method for accurately marking and identifying a plug-in based on a crawler, when a file running a program is detected, comparing the file with the classified and marked plug-ins, and identifying whether the file is a plug-in of a current game further includes:
and correcting the classification and marking of the plug-in based on the condition of whether the user feedback is false or not.
Preferably, in the method for accurately marking and identifying a plug-in based on a crawler, the determining whether the plug-in sample is a plug-in includes:
and screening the plug-in samples by using a white list to obtain a program running in a normal environment, and marking the white list with a label.
Preferably, in the method for accurately marking and identifying a plug-in based on a crawler, the determining whether the plug-in sample is a plug-in further includes:
after screening, carrying out uploading frequency verification on the plug-in samples, and determining that the plug-in samples are plug-ins when the uploading frequency is greater than a preset frequency threshold value.
Preferably, in the method for accurately marking and identifying a plug-in based on a crawler, the classifying and marking the plug-in includes:
classifying and marking the plug-ins according to the file static information of the plug-ins, wherein the file static information comprises icon information, file formats and static character strings.
Preferably, in the method for accurately marking and identifying a plug-in based on a crawler, the classifying and marking the plug-in further includes:
classifying and marking the plug-ins according to the path information experienced during the plug-in downloading.
Preferably, in the method for accurately marking and identifying a plug-in based on a crawler, the classifying and marking the plug-in further includes:
classifying and marking the plug-ins according to the naming and description of the plug-ins by using word segmentation and machine learning modes.
Preferably, in the method for accurately marking and identifying the external hanging based on the crawler, when the classification and marking obtained by using the static information of the file are different from the classification and marking obtained by using the path information experienced during downloading, the marking and identifying are performed manually.
Preferably, in the method for accurately marking and identifying a plug-in based on a crawler, the downloading the plug-in sample includes:
and calculating the updating time of the plug-in sample, downloading a compression packet or program updated in a preset time, decompressing, and calculating the hash of each file.
The invention provides a crawler-based externally hung accurate marking and identifying device, which comprises:
an update detection unit configured to detect an update condition of the plug-in sample based on the crawler;
a downloading component for downloading the plug-in sample when the plug-in sample update is detected;
a plug-in determining part for determining whether the plug-in sample is a plug-in;
the classification and marking component is used for classifying and marking the plug-ins when the plug-in samples are determined to be plug-ins;
and the identification component is used for comparing the file with the classified and marked plug-ins when the file of the running program is detected, and identifying whether the file is the plug-in of the current game.
As can be seen from the above description, the method for accurately marking and identifying the plug-in based on the crawler provided by the invention comprises the steps of detecting the update condition of the plug-in sample based on the crawler; then downloading the plug-in sample when the plug-in sample update is detected; determining whether the plug-in sample is plug-in; then classifying and marking the plug-ins when the plug-in samples are determined to be plug-ins; and finally, when the file of the running program is detected, comparing the file with the classified and marked plug-ins, and identifying whether the file is the plug-in of the current game, so that the detection of the running of the client program is finished according to the mark, the existence of the corresponding plug-in running of the current running game can be detected only, the characteristic extraction is not needed by technicians, the detection can be finished under the condition of extremely low occupation of client resources, the normal experience of a user is not influenced, and the protection is provided for rented accounts and cloud computer game environments. The crawler-based externally hung accurate marking and identifying device provided by the invention has the same advantages as the method.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an embodiment of a crawler-based plug-in precision marking and identification method provided by the present invention;
FIG. 2 is a schematic diagram of an example of a crawler-based plug-in precision tagging and identification method;
fig. 3 is a schematic diagram of an embodiment of a crawler-based plug-in accurate marking and identifying device according to the present invention.
Detailed Description
The core of the invention is to provide a method and a device for accurately marking and identifying the plug-in based on the crawler, which can only detect whether the currently running game is corresponding to the plug-in running or not, can finish detection under the condition of extremely low occupation of client resources without the participation of technicians to extract features, does not influence the normal experience of a user, accurately detects whether the corresponding game plug-in is started for renting numbers in an internet bar scene, and detects and terminates abnormal game behaviors of the user in a cloud computer system so as to prevent the equipment from being blocked by a game manufacturer.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An embodiment of a method for accurately marking and identifying a plug-in based on a crawler is shown in fig. 1, and fig. 1 is a schematic diagram of an embodiment of a method for accurately marking and identifying a plug-in based on a crawler, which may include the following steps:
s1: detecting the update condition of the plug-in sample based on the crawler;
in particular, a crawler may be used, but is not limited to, to detect updates on a plug-in vending website.
S2: downloading the plug-in sample when the plug-in sample update is detected;
specifically, a threshold may be set, and when the number of updates exceeds the threshold, the sample is downloaded.
S3: determining whether the plug-in sample is plug-in;
the word segmentation mode can be adopted to determine whether the plug-in static information proves that the plug-in static information is plug-in.
S4: classifying and marking the external hanging when the external hanging sample is determined to be the external hanging;
specifically, the plug-in of which game is identified according to some words contained in the static information, or identified according to the downloading path, the plug-in is classified as the game to which the plug-in belongs, and the mark number of the plug-in is marked, so that the collection mark of the plug-in program sold and downloaded through the website can be completed under the condition of only needing a small amount of manual maintenance.
S5: when the file running the program is detected, comparing the file with the classified and marked plug-ins, and identifying whether the file is the plug-in of the current game.
That is, the files of the running program are not required to be compared with all the plug-ins, but only the plug-ins corresponding to the game are required to be compared, and the plug-in detection efficiency is greatly improved.
As can be seen from the above description, in the embodiment of the method for accurately marking and identifying a plug-in based on a crawler provided by the present invention, the method includes detecting an update condition of a plug-in sample based on the crawler; then downloading the plug-in sample when the plug-in sample update is detected; determining whether the plug-in sample is plug-in; then classifying and marking the external hanging when the external hanging sample is determined to be the external hanging; and finally, when the file of the running program is detected, comparing the file with the classified and marked plug-ins, and identifying whether the file is the plug-in of the current game, so that the detection of the running of the client program is finished according to the mark, the existence of the corresponding plug-in running of the current running game can be detected only, the characteristic extraction is not required by technicians, the detection can be finished under the condition of extremely low occupation of client resources, the normal experience of a user is not influenced, and the protection is provided for rented accounts and cloud computer game environments.
In a specific embodiment of the foregoing method for accurately marking and identifying a plug-in based on a crawler, when a file running a program is detected, comparing the file with a categorized and marked plug-in, and after identifying whether the file is a plug-in of a current game, the method may further include:
based on the situation of whether the user feedback is false or not, the classification and the marking of the external hanging are corrected.
When the user runs a game, the user does not use the plug-in, but is mistakenly considered to use the plug-in, the user can feed back the system, and when the user verifies that the user does not use the plug-in, the user can correct the plug-in, so that the next false alarm is avoided, and the accuracy of plug-in identification is improved.
In another embodiment of the foregoing crawler-based plug-in precision marking and identifying method, determining whether the plug-in sample is a plug-in may include the following steps:
and screening the plug-in samples by using the white list to obtain a program running in a normal environment, and marking the white list with a label.
The white list detection is mainly to detect non-plug-in modules in the updated plug-in package, such as an open-source library file or a plug-in program started by hijacking a normal program, and the like, screen out programs which may run in the normal environment, and mark a white list label, so that the false alarm rate can be reduced.
In another embodiment of the foregoing crawler-based plug-in precision marking and identifying method, determining whether the plug-in sample is a plug-in may further include:
after screening, carrying out uploading frequency verification on the plug-in samples, and determining that the plug-in samples are plug-ins when the uploading frequency is greater than a preset frequency threshold value.
It should be noted that, because the sample source is the plug-in selling website, and only the detected plug-in with update is downloaded, the plug-in components or the expansion library which can be marked as the plug-in with the uploading frequency exceeding the specified frequency can be considered as the plug-in program after the white list filtering and the uploading frequency verification.
Based on the crawler-based externally hung accurate marking and identifying method, classifying and marking the externally hung parts can comprise:
classifying and marking the external hanging according to the file static information of the external hanging, wherein the file static information comprises icon information, file format and static character strings, namely, which external hanging is the external hanging of the game can be accurately analyzed according to the file static information, then the external hanging is marked as the external hanging of the game, and when a client of the game runs, whether the external hanging runs in a computer can be directly detected, so that the detection efficiency is improved.
In the preferred embodiment of the method for accurately marking and identifying an external hanging based on a crawler, classifying and marking the external hanging may further include:
and classifying and marking the external hanging according to the path information experienced during external hanging downloading. It should be noted that, the path information may include some keywords related to the game, so that it can be presumed which game the plug-in is aimed for according to the keywords.
Further, classifying and marking the outhanging may further include:
and classifying and marking the plug-ins according to the naming and description of the plug-ins by using word segmentation and machine learning modes. It should be noted that, the plug-in titles sold on the internet generally indicate which game the plug-in belongs to, so that the plug-in belongs to which game can be distinguished by using a word segmentation mode, the recognition modes can be combined together and can be independently recognized, the plug-in titles can be selected according to actual needs, and the plug-in titles can be mutually verified to be correct when being combined in various ways, and can be marked and recognized manually when the classification and marking obtained by using file static information are different from the classification and marking obtained by using path information experienced during downloading.
In the method for accurately marking and identifying the plug-in based on the crawler, the step of downloading the plug-in sample may include:
and calculating the updating time length of the plug-in sample, downloading an updated compression packet or program in a preset time, decompressing, and calculating the hash of each file. It should be noted that, because only the detected plug-ins with updates are downloaded, all plug-ins or extended libraries are uploaded more than 5 times.
A specific example is shown in fig. 2, and fig. 2 is a schematic diagram of an example of a crawler-based plug-in accurate marking and identifying method, where the steps include:
(1) When a crawler acquires a file downloading link, firstly calculating file updating time length, only downloading a compression packet or program updated in the time T1 in order to avoid abnormal uploading frequency caused by repeated sampling, decompressing the compression packet file, and calculating the hash of each file, otherwise, transferring to the step (8);
(2) The file downloaded in real time possibly contains a non-plug-in program, if the current file hash already exists in the database, the tag A1 and uploading times in the current database are acquired for verification, otherwise, the step (4) is carried out;
(3) If A1 is a white list, normally ending, and turning to the step (8), and if A1 is plug-in and the uploading frequency is greater than T2, turning to the step (5);
(4) Firstly, segmenting the path which the crawler experiences by using a program which is not put in storage, detecting the segmented word through machine learning and marking the segmented word as A2;
(5) Static information detection is carried out on the file and the attached file, and a result A3 is obtained according to the detected keywords or features;
(6) If the static information detection result is empty, the last step result (A1 or A2) is the final result, and if the static information detection result is consistent with the last step result, A3 is the final label of the final file. Otherwise, turning to the step (7) for manual detection;
(7) Manually detecting, marking and warehousing, and adjusting static information detection characteristics or a machine learning model;
(8) Switch to the next task.
To ensure the accuracy of the marking results, a program that has no results for static information scanning should periodically add static information scanning features.
An embodiment of a crawler-based plug-in accurate marking and identifying device provided by the invention is shown in fig. 3, and fig. 3 is a schematic diagram of an embodiment of a crawler-based plug-in accurate marking and identifying device provided by the invention, where the device includes:
the update detection unit 301 is configured to detect an update condition of the plug-in sample based on the crawler, and specifically, may, but not limited to, detect an update condition on the plug-in vending website by using the crawler;
a downloading component 302, configured to download the plug-in sample when the plug-in sample update is detected, specifically, a threshold may be set, and download the sample when the update number exceeds the threshold;
the plug-in determining part 303 is configured to determine whether the plug-in sample is a plug-in, and specifically may determine whether static information of the plug-in proves that the static information of the plug-in is a plug-in a word segmentation manner;
the classifying and marking component 304 is configured to classify and mark the external hanging when it is determined that the external hanging sample is an external hanging, specifically, identify which external hanging is a game according to some words contained in static information, or identify the external hanging according to a downloading path, and classify the external hanging as a game to which the external hanging belongs, and mark the external hanging number, so that the external hanging program that is sold and downloaded through a website can be marked under the condition that only a small amount of manual maintenance is required;
the identifying unit 305 is configured to compare the file with the categorized and marked plug-ins when the file of the running program is detected, and identify whether the file is the plug-in of the current game, that is, the file of the running program is not required to be compared with all plug-ins, but only the plug-ins corresponding to the game are required to be compared, so that the plug-in detection efficiency is greatly improved.
According to the embodiment of the crawler-based plug-in accurate marking and identifying device, the detection of the client program operation can be completed according to the marking, whether the currently operated game is corresponding to the plug-in operation or not can be detected, the detection can be completed under the condition of extremely low client resource occupation without the participation of technicians, normal experience of users is not influenced, and protection is provided for rented account and cloud computer game environments.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (4)
1. The method for accurately marking and identifying the plug-in based on the crawler is characterized by comprising the following steps of:
detecting the update condition of the plug-in sample based on the crawler;
downloading the plug-in sample when the plug-in sample update is detected;
determining whether the plug-in sample is a plug-in, the determining whether the plug-in sample is a plug-in includes: screening the external samples by using a white list to obtain a program running in a normal environment, and marking a white list label;
classifying and marking the plug-ins when the plug-in samples are determined to be plug-ins;
when a file running a program is detected, comparing the file with the classified and marked plug-ins, and identifying whether the file is the plug-in of the current game;
correcting the classification and marking of the plug-in based on the situation of whether false alarm is fed back by the user;
the determining whether the plug-in sample is a plug-in further includes:
after screening, checking the uploading times of the plug-in samples, and determining that the plug-in samples are plug-ins when the uploading times are greater than a preset time threshold;
the classifying and marking the plug-ins comprises:
classifying and marking the plug-ins according to the file static information of the plug-ins, wherein the file static information comprises icon information, file formats and static character strings;
classifying and marking the plug-ins according to path information experienced during the plug-in downloading;
classifying and marking the plug-ins according to the naming and description of the plug-ins by using word segmentation and machine learning modes.
2. The method for accurately marking and identifying a crawler-based plug-in according to claim 1, wherein the marking and identification is performed manually when the classification and marking obtained using the file static information is different from the classification and marking obtained using the path information experienced at the time of downloading.
3. The method for accurately marking and identifying a plug-in based on a crawler according to claim 2, wherein the downloading the plug-in sample comprises:
and calculating the updating time of the plug-in sample, downloading a compression packet or program updated in a preset time, decompressing, and calculating the hash of each file.
4. Externally hung accurate marking and identifying device based on crawler, which is characterized by comprising:
an update detection unit configured to detect an update condition of the plug-in sample based on the crawler;
a downloading component for downloading the plug-in sample when the plug-in sample update is detected;
a plug-in determining unit, configured to determine whether the plug-in sample is a plug-in, where determining whether the plug-in sample is a plug-in includes: screening the external samples by using a white list to obtain a program running in a normal environment, and marking a white list label; after screening, checking the uploading times of the plug-in samples, and determining that the plug-in samples are plug-ins when the uploading times are greater than a preset time threshold;
the classification and marking component is used for classifying and marking the plug-ins when the plug-in samples are determined to be plug-ins; classifying and marking the plug-ins according to the file static information of the plug-ins, wherein the file static information comprises icon information, file formats and static character strings; classifying and marking the plug-ins according to path information experienced during the plug-in downloading; classifying and marking the plug-ins according to the naming and description of the plug-ins by using word segmentation and machine learning modes;
the identification component is used for comparing the file with the classified and marked plug-ins when the file of the running program is detected, and identifying whether the file is the plug-in of the current game;
and the correction component is used for correcting the classification and the mark of the plug-in based on the situation of whether false alarm is fed back by the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110795217.6A CN113407804B (en) | 2021-07-14 | 2021-07-14 | Crawler-based externally hung accurate marking and identifying method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110795217.6A CN113407804B (en) | 2021-07-14 | 2021-07-14 | Crawler-based externally hung accurate marking and identifying method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113407804A CN113407804A (en) | 2021-09-17 |
| CN113407804B true CN113407804B (en) | 2023-06-16 |
Family
ID=77686361
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110795217.6A Active CN113407804B (en) | 2021-07-14 | 2021-07-14 | Crawler-based externally hung accurate marking and identifying method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113407804B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7169050B1 (en) * | 2002-08-28 | 2007-01-30 | Matthew George Tyler | Online gaming cheating prevention system and method |
| CN101350011A (en) * | 2007-07-18 | 2009-01-21 | 中国科学院自动化研究所 | Method for detecting search engine cheat based on small sample set |
| CN103020415A (en) * | 2011-09-28 | 2013-04-03 | 盛趣信息技术（上海）有限公司 | Method, device and system for preventing game cheating |
| CN111013155A (en) * | 2019-11-15 | 2020-04-17 | 西安居正知识产权运营管理有限公司 | Method for detecting network game plug-in |
| CN111666115A (en) * | 2020-05-27 | 2020-09-15 | 杭州数澜科技有限公司 | Apparatus, method and storage medium for finding engine plug-in |
| CN112090087A (en) * | 2020-08-26 | 2020-12-18 | 完美世界(北京)软件科技发展有限公司 | Game plug-in detection method and device, storage medium and computer equipment |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102480470B (en) * | 2010-11-29 | 2015-04-29 | 腾讯科技（深圳）有限公司 | Method for downloading game, apparatuses thereof and system thereof |
| US8250228B1 (en) * | 2011-09-27 | 2012-08-21 | Google Inc. | Pausing or terminating video portion while continuing to run audio portion of plug-in on browser |
| CN102902924B (en) * | 2012-09-29 | 2016-04-13 | 北京奇虎科技有限公司 | The method that file behavioural characteristic is detected and device |
| CN104079525B (en) * | 2013-03-25 | 2015-11-11 | 腾讯科技（深圳）有限公司 | A kind ofly prevent plug-in method and server |
| CN103824015B (en) * | 2014-02-26 | 2017-05-24 | 珠海市君天电子科技有限公司 | Application program control method, device and system |
| CN103825780A (en) * | 2014-02-26 | 2014-05-28 | 珠海市君天电子科技有限公司 | Tag-on program identification method, service and system |
| CN110458154B (en) * | 2019-09-12 | 2021-08-31 | 腾讯科技（深圳）有限公司 | Face recognition method, face recognition device and computer-readable storage medium |
-
2021
- 2021-07-14 CN CN202110795217.6A patent/CN113407804B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7169050B1 (en) * | 2002-08-28 | 2007-01-30 | Matthew George Tyler | Online gaming cheating prevention system and method |
| CN101350011A (en) * | 2007-07-18 | 2009-01-21 | 中国科学院自动化研究所 | Method for detecting search engine cheat based on small sample set |
| CN103020415A (en) * | 2011-09-28 | 2013-04-03 | 盛趣信息技术（上海）有限公司 | Method, device and system for preventing game cheating |
| CN111013155A (en) * | 2019-11-15 | 2020-04-17 | 西安居正知识产权运营管理有限公司 | Method for detecting network game plug-in |
| CN111666115A (en) * | 2020-05-27 | 2020-09-15 | 杭州数澜科技有限公司 | Apparatus, method and storage medium for finding engine plug-in |
| CN112090087A (en) * | 2020-08-26 | 2020-12-18 | 完美世界(北京)软件科技发展有限公司 | Game plug-in detection method and device, storage medium and computer equipment |
Non-Patent Citations (1)
| Title |
|---|
| 一种基于内核事件的Windows系统游戏反外挂方法;傅建明;杨铮;罗陈可;黄坚伟;;电子与信息学报(09);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113407804A (en) | 2021-09-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8424090B2 (en) | Apparatus and method for detecting obfuscated malicious web page | |
| CN112417439A (en) | Account detection method, device, server and storage medium | |
| CN110175851B (en) | Cheating behavior detection method and device | |
| CN108090359B (en) | Application program monitoring method and application server | |
| CN104252592A (en) | Method and device for identifying plug-in application program | |
| CN111858242A (en) | System log anomaly detection method and device, electronic equipment and storage medium | |
| CN108304426B (en) | Identification obtaining method and device | |
| CN110047513B (en) | Video monitoring method and device, electronic equipment and storage medium | |
| CN107239694B (en) | Android application permission reasoning method and device based on user comments | |
| CN104158828B (en) | The method and system of suspicious fishing webpage are identified based on cloud content rule base | |
| CN105718795B (en) | Malicious code evidence collecting method and system under Linux based on condition code | |
| CN109543408A (en) | A kind of Malware recognition methods and system | |
| CN113032792A (en) | System service vulnerability detection method, system, equipment and storage medium | |
| CN111191201A (en) | User identification method, device and equipment based on data buried points and storage medium | |
| KR20150083627A (en) | Method for detecting malignant code of android by activity string analysis | |
| KR20190031030A (en) | Method and system for identifying an open source software package based on binary files | |
| CN110554962A (en) | Regression testing process covering method, server and computer readable storage medium | |
| CN109815697B (en) | Method and device for processing false alarm behavior | |
| CN109727027A (en) | Account recognition methods, device, equipment and storage medium | |
| CN110619213A (en) | Malicious software identification method, system and related device based on multi-model features | |
| CN111753817A (en) | Information processing method and device, electronic equipment and computer readable storage medium | |
| CN106301979B (en) | Method and system for detecting abnormal channel | |
| CN111783812A (en) | Method and device for identifying forbidden images and computer readable storage medium | |
| EP2728472B1 (en) | User terminal, reliability management server, and method and program for preventing unauthorized remote operation | |
| CN108399129B (en) | H5 page performance detection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |