CN112116505A - Anti-cheating online competition system and method - Google Patents
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Abstract
The invention discloses an anti-cheating online competition system and a method, wherein the system comprises: an identity verification module: the system is used for carrying out personal identity authentication on students participating in the competition before the competition starts and establishing connection with the answering machine; a topic identification module: the method comprises the steps of extracting keywords of a competition question; a behavior analysis module: the system is used for monitoring mouse copying and pasting operation or keyboard input operation of an answering machine used by students and carrying out cheating suspicion judgment according to keywords of competition questions; a screen capture analysis module: the screen capture device is used for capturing screens of answering machines of students according to a preset time interval, extracting text information of non-answering areas in the screen capture images, matching the text information with answers of the students and judging whether cheating occurs or not. The invention simply and efficiently solves various cheating problems of online competition and avoids cutting one time.
Description
Technical Field
The invention relates to the technical field of online education, in particular to an anti-cheating online competition system.
Background
With the development of online education, online learning, online examination and online competition become important ways for students to learn knowledge. At present, some online education institutions develop various anti-cheating technologies, such as screen switching detection, camera expression monitoring and the like, once screen switching is detected or set times are reached, cheating is judged, the modes are high in misjudgment rate, and user experience is generally poor.
Disclosure of Invention
In view of the above, the invention provides an anti-cheating online competition system and an anti-cheating online competition method, which are used for solving the problems of tedious cheating detection and high misjudgment rate of students in online competition and avoiding cutting once.
In a first aspect of the present invention, an anti-cheating online competition system is provided, the system comprising:
an identity verification module: the system is used for carrying out personal identity authentication on students participating in the competition before the competition starts and establishing connection with the answering machine;
a competition question identification module: key words for extracting game questions and reference answers;
a behavior analysis module: the system is used for monitoring mouse copying and pasting operation or keyboard input operation of the answering machine used by students and carrying out cheating suspicion judgment;
a screen capture analysis module: the screen capture device is used for capturing screens of answering machines of students according to a preset time interval, extracting text information of non-answering areas in the screen capture images, matching the text information with answers of the students and judging whether cheating occurs or not.
Preferably, the identity authentication module specifically includes:
a personal identity authentication unit: account password verification and face recognition verification for student login;
answering machine authentication unit: the system comprises a server and a server, wherein the server is used for acquiring an IP of an answering machine and binding the IP with account information and face information;
preferably, the behavior analysis module is specifically configured to:
when the fact that the students copy or paste across documents and pages is monitored, mouse copying and pasting are prohibited; prohibiting students from independently capturing and recording screens; when the situation that the keyboard is input on a non-answer page is monitored, comparing the input content of the keyboard with the competition question keywords, judging whether the competition question keywords are input or not, and if yes, judging that suspected cheating exists;
preferably, the screen capture analysis module specifically includes:
a data acquisition unit: screen capturing is carried out on the student answering machine according to a preset time interval, and the answering starting time and the answering finishing time of each question are recorded;
a data conversion unit: after each question answer is completed, acquiring a screenshot picture in each question answer time period, extracting a non-answer area in each screenshot picture, respectively carrying out OCR powerful word picking on the non-answer area, and converting the words into text information to obtain the text information of a non-answer page in each question answer time period;
a data determination unit: the method comprises the steps of obtaining answers of students' basic questions, segmenting the answers of the basic questions, conducting text similarity matching on each segment of answers and text information of each non-answer page, counting the number of segments with successfully matched answers, calculating the proportion of the number of segments with successfully matched answers to the total number of segments of answers, and judging cheating if the proportion exceeds a set threshold value.
Preferably, in the data determination unit, the performing text similarity matching between each segment and the text information of each non-answer page includes:
segmenting the text information of each non-answer page to obtain the text information of each non-answer page;
and respectively adopting TF-IDF to carry out feature extraction on each section of answer and each section of text information of a non-answer page, constructing a vector space model, carrying out feature matching through cosine similarity, if the cosine similarity between a certain section of answer and the text information of a certain section of non-answer page exceeds a set threshold, successfully matching the answer, and judging suspected cheating.
Preferably, the system further comprises a multi-screen detection module for detecting whether the answering machine has multi-screen sharing or multiple display screens, if so, the screen capture analysis module captures the multiple screens simultaneously, analyzes the captured images of the multiple screens respectively, and if two or more screens are operated, cheating is judged.
Preferably, the system further comprises a warning module, which is used for performing pop-up window reminding when the suspected cheating of the student is judged, and forcibly ending the competition when the pop-up window reminding exceeds the set times or the cheating is judged.
In a second aspect of the present invention, an anti-cheating online competition method is disclosed, the method comprising:
before the competition starts, carrying out individual identity authentication on students participating in the competition and establishing connection with an answering machine;
extracting keywords of competition questions in advance;
monitoring mouse copying and pasting operation or keyboard input operation of an answering machine used by students in the whole competition process, and judging suspected cheating;
screen capturing is carried out on the answering machine of the student according to a preset time interval, text information of a non-answer area in a screen capturing image is extracted and matched with the answer of the student, and whether cheating is carried out or not is judged; detecting whether the answering machine has multi-screen sharing or multiple display screens, if so, the screen capture analysis module simultaneously captures the screens of the multiple screens and respectively analyzes the captured images of the multiple screens, and if two or more screens operate, cheating is judged;
and when the suspected cheating of the students is judged, the popup reminding is carried out, and when the popup reminding exceeds the set times or the cheating is judged, the competition is forcibly ended.
Preferably, the extracting text information of the non-answer area in the screenshot image and matching with the student answer, and the judging whether cheating specifically includes:
recording the answering starting time and the answering finishing time of each question; after each question answer is completed, acquiring a screenshot picture in each question answer time period, extracting a non-answer area in each screenshot picture, respectively carrying out OCR powerful word picking on the non-answer area, and converting the words into text information to obtain the text information of a non-answer page in each question answer time period;
the method comprises the steps of obtaining answers of students' basic questions, segmenting the answers of the basic questions, conducting text similarity matching on each segment of answers and text information of each non-answer page, counting the number of segments with successfully matched answers, calculating the proportion of the number of segments with successfully matched answers to the total number of segments of answers, and judging cheating if the proportion exceeds a set threshold value.
Compared with the prior art, the invention has the following beneficial effects:
1) the invention prevents the examination of others through the personal identity authentication and the answering machine authentication, and judges suspected cheating through monitoring a mouse and a keyboard;
2) the invention carries out ORC word extraction on the non-answer page area and the answer page area in the screenshot image, matches the text information extracted from the non-answer page area with the answers of students, judges cheating if the number of successfully matched paragraphs exceeds the set number, simply and efficiently solves various cheating problems such as network search answers, searching for data stored in the answer machine, exchanging answers with others through a chat window or a network window and the like, avoids cutting one time, and simultaneously prevents the students from piecing up the answers from multiple places;
3) the invention also carries out multi-screen detection on the answering machine, and prevents students from cheating by using a plurality of screens.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an anti-cheating online competition system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, the present invention provides an anti-cheating online competition system, which includes an identity verification module 1, a competition topic identification module 2, a behavior analysis module 3, a screen capture analysis module 4, a multi-screen detection module 5, and a warning module 6;
the identity authentication module 1 is used for carrying out individual identity authentication on students participating in the competition before the competition starts and establishing connection with the answering machine; the share verification module specifically comprises:
the personal identity authentication unit is used for verifying account number and password of student login and identifying and verifying human face;
the answering machine authentication unit is used for acquiring the IP of the answering machine and binding the IP with the account information and the face information;
the competition question identification module 2 is used for extracting keywords of the competition questions;
the behavior analysis module 3 is used for monitoring mouse copying and pasting operations or keyboard input operations of the answering machine used by students and carrying out cheating suspicion judgment; the mouse and keyboard monitoring module specifically comprises:
when the fact that the students copy or paste across documents and pages is monitored, mouse copying and pasting are prohibited; when the situation that the keyboard is input on a non-answer page is monitored, comparing the input content of the keyboard with the competition question keywords, judging whether the competition question keywords are input or not, and if yes, judging that suspected cheating exists;
the screen capture analysis module 4 is used for capturing screens of answering machines of students according to a preset time interval and identifying whether the pictures are abnormal or not in an image processing mode; the screen capture analysis module specifically comprises:
a data acquisition unit: screen capturing is carried out on the student answering machine according to a preset time interval, and the answering starting time and the answering finishing time of each question are recorded;
a data conversion unit: after each question answer is completed, acquiring a screenshot picture in each question answer time period, extracting a non-answer area in each screenshot picture, respectively carrying out OCR powerful word picking on the non-answer area, and converting the words into text information to obtain the text information of a non-answer page in each question answer time period;
a data determination unit: and obtaining answers of the student's test questions, segmenting the answers of the test questions, and performing text similarity matching on each segment of answers and the text information of each non-answer page. The method for matching the text similarity of each section with the text information of each non-answer page comprises the following steps: segmenting the text information of each non-answer page to obtain the text information of each non-answer page; and respectively adopting TF-IDF to carry out feature extraction on each section of answer and each section of text information of a non-answer page, constructing a vector space model, carrying out feature matching through cosine similarity, if the cosine similarity between a certain section of answer and the text information of a certain section of non-answer page exceeds a set threshold, successfully matching the answer, and judging suspected cheating.
And counting the number of segments successfully matched with the answer, calculating the proportion of the successfully matched segments to the total number of segments of the answer, and judging cheating if the proportion exceeds a set threshold value. Through the data judgment unit, various cheating problems such as network search answers, searching for data stored in the answering machine, communicating answers with others through a chat window or a network window and the like are simply and efficiently solved; meanwhile, students are prevented from piecing up answers from multiple places, so that the pieced answers can be traced, and the competition fairness is maintained.
As another embodiment of the data determination unit of the present invention, an answer area and a non-answer area in a certain screenshot image may be extracted, the image is recognized and converted into text information, key words are respectively extracted, the key words extracted from the non-answer area in the screenshot image are matched with keywords of a game question or keywords in the answer page area, and cheating may be determined if the number of successfully matched keywords exceeds a set number.
And the multi-screen detection module 5 is used for detecting whether the answering machine has multi-screen sharing or not, if the multi-screen sharing exists, the screen capture analysis module simultaneously captures the screens of the plurality of screens, respectively analyzes the captured images of the plurality of screens, and if two or more screen operations exist, cheating is judged.
And the warning module 6 is used for carrying out popup reminding when the suspected cheating of the students is judged, and forcibly ending the competition when the popup reminding exceeds the set times or the cheating is judged.
Corresponding to the embodiment of the system, the invention provides an anti-cheating online competition method, which comprises the following steps:
before the competition starts, carrying out individual identity authentication on students participating in the competition and establishing connection with an answering machine;
extracting keywords of competition questions in advance;
monitoring mouse copying and pasting operation or keyboard input operation of an answering machine used by students in the whole competition process, and judging suspected cheating;
screen capturing is carried out on the answering machine of the student according to a preset time interval, text information of a non-answer area in a screen capturing image is extracted and matched with the answer of the student, and whether cheating is carried out or not is judged; the method specifically comprises the following steps:
recording the answering starting time and the answering finishing time of each question; after each question answer is completed, acquiring a screenshot picture in each question answer time period, extracting a non-answer area in each screenshot picture, respectively carrying out OCR powerful word picking on the non-answer area, and converting the words into text information to obtain the text information of a non-answer page in each question answer time period;
the method comprises the steps of obtaining answers of students' basic questions, segmenting the answers of the basic questions, conducting text similarity matching on each segment of answers and text information of each non-answer page, counting the number of segments with successfully matched answers, calculating the proportion of the number of segments with successfully matched answers to the total number of segments of answers, and judging cheating if the proportion exceeds a set threshold value.
Detecting whether the answering machine has multi-screen sharing or multiple display screens, if so, the screen capture analysis module simultaneously captures the screens of the multiple screens and respectively analyzes the captured images of the multiple screens, and if two or more screens operate, cheating is judged; but only one screen is actually used in the answering period, and the cheating is not considered, so that the misjudgment is reduced.
And when the suspected cheating of the students is judged, the popup reminding is carried out, and when the popup reminding exceeds the set times or the cheating is judged, the competition is forcibly ended.
The invention prevents the examination of others through the personal identity authentication and the answering machine authentication, and judges suspected cheating through monitoring a mouse and a keyboard; ORC word extraction is carried out on a non-answer page area in a screenshot image in the same question answering process, text information extracted from the non-answer page area is matched with answers of students, cheating is judged if the number of successfully matched paragraphs exceeds a set number, and various cheating problems such as network search answers, searching for data stored in an answering machine, communicating answers with others through a chat window or a network window and the like are simply and efficiently solved; the invention also carries out multi-screen detection on the answering machine, and judges cheating if students use a plurality of screens during competition.
The above method embodiments correspond to the system embodiments, and the method embodiments may be simplified with reference to the system embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. An anti-cheating online competition system, comprising:
an identity verification module: the system is used for carrying out personal identity authentication on students participating in the competition before the competition starts and establishing connection with the answering machine;
a topic identification module: the method comprises the steps of extracting keywords of a competition question;
a behavior analysis module: the system is used for monitoring mouse copying and pasting operation or keyboard input operation of an answering machine used by students and carrying out cheating suspicion judgment according to keywords of competition questions;
a screen capture analysis module: the screen capture device is used for capturing screens of answering machines of students according to a preset time interval, extracting text information of non-answering areas in the screen capture images, matching the text information with answers of the students and judging whether cheating occurs or not.
2. The anti-cheating online competition system of claim 1, wherein the identity verification module specifically comprises:
a personal identity authentication unit: account password verification and face recognition verification for student login;
answering machine authentication unit: and the method is used for acquiring the IP of the answering machine and binding the IP with the account information and the face information.
3. The anti-cheating online competition system of claim 1, wherein the behavior analysis module is specifically configured to:
when the fact that the students copy or paste across documents and pages is monitored, mouse copying and pasting are prohibited; prohibiting students from independently capturing and recording screens; when the situation that the keyboard is input on a non-answer page is monitored, comparing the input content of the keyboard with the competition question keywords, judging whether the competition question keywords are input or not, and if yes, judging that suspected cheating exists.
4. The anti-cheating online competition system of claim 1, wherein the screen capture analysis module specifically comprises:
a data acquisition unit: screen capturing is carried out on the student answering machine according to a preset time interval, and the answering starting time and the answering finishing time of each question are recorded;
a data conversion unit: after each question answer is completed, acquiring a screenshot picture in each question answer time period, extracting a non-answer area in each screenshot picture, respectively carrying out OCR powerful word picking on the non-answer area, and converting the words into text information to obtain the text information of a non-answer page in each question answer time period;
a data determination unit: the method comprises the steps of obtaining answers of students' basic questions, segmenting the answers of the basic questions, conducting text similarity matching on each segment of answers and text information of each non-answer page, counting the number of segments with successfully matched answers, calculating the proportion of the number of segments with successfully matched answers to the total number of segments of answers, and judging cheating if the proportion exceeds a set threshold value.
5. The anti-cheating online competition system of claim 4, wherein in the data determination unit, the text similarity matching is performed on each segment with the text information of each non-answer page, specifically:
segmenting the text information of each non-answer page to obtain the text information of each non-answer page;
and respectively adopting TF-IDF to carry out feature extraction on each section of answer and each section of text information of a non-answer page, constructing a vector space model, carrying out feature matching through cosine similarity, if the cosine similarity between a certain section of answer and the text information of a certain section of non-answer page exceeds a set threshold, successfully matching the answer, and judging suspected cheating.
6. The anti-cheating online competition system of claim 4, wherein the system further comprises a multi-screen detection module for detecting whether the answering machine has a multi-screen share or multiple display screens, if so, the screen capture analysis module simultaneously captures the multiple screens, respectively analyzes the captured images of the multiple screens, and if two or more screens are operated, cheating is determined.
7. The anti-cheating online competition system of claim 1, further comprising a warning module for performing a pop-up window reminder when it is determined that the student has suspected cheating, and forcibly ending the competition when the pop-up window reminder exceeds a set number of times or the cheating is determined.
8. An anti-cheating online competition method, comprising:
before the competition starts, carrying out individual identity authentication on students participating in the competition and establishing connection with an answering machine;
extracting keywords of competition questions in advance;
monitoring mouse copying and pasting operation or keyboard input operation of an answering machine used by students in the whole competition process, and judging suspected cheating;
screen capturing is carried out on the answering machine of the student according to a preset time interval, text information of a non-answer area in a screen capturing image is extracted and matched with the answer of the student, and whether cheating is carried out or not is judged; detecting whether the answering machine has multi-screen sharing or multiple display screens, if so, the screen capture analysis module simultaneously captures the screens of the multiple screens and respectively analyzes the captured images of the multiple screens, and if two or more screens operate, cheating is judged;
and when the suspected cheating of the students is judged, the popup reminding is carried out, and when the popup reminding exceeds the set times or the cheating is judged, the competition is forcibly ended.
9. The anti-cheating online competition method as claimed in claim 8, wherein the extracting text information of the non-answer area in the screen shot image and matching with the student answers, and the judging whether cheating specifically comprises:
recording the answering starting time and the answering finishing time of each question; after each question answer is completed, acquiring a screenshot picture in each question answer time period, extracting a non-answer area in each screenshot picture, respectively carrying out OCR powerful word picking on the non-answer area, and converting the words into text information to obtain the text information of a non-answer page in each question answer time period;
the method comprises the steps of obtaining answers of students' basic questions, segmenting the answers of the basic questions, conducting text similarity matching on each segment of answers and text information of each non-answer page, counting the number of segments with successfully matched answers, calculating the proportion of the number of segments with successfully matched answers to the total number of segments of answers, and judging cheating if the proportion exceeds a set threshold value.
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