CN118278716B - Network security competition platform - Google Patents
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Abstract
The invention relates to the technical field of network security, and discloses a network security competition platform; the method comprises the steps of obtaining comprehensive competition data of competition personnel, generating a hierarchy index, dividing the hierarchy of the competition personnel, matching with a selection rule, generating a competition field after distributing competition questions, collecting competition data to generate competition quality coefficients, generating competition quality levels, and generating a suggestion instruction according to the competition quality levels; compared with the prior art, different competition fields can be formulated to provide competition for competition staff, and a suggestion plan which is suitable for the competition staff is generated for the competition staff according to the competition result of the competition staff, so that the competition staff is helped to learn network security professional knowledge better, different levels of competition staff can be ensured to be matched with own competition modes and competition fields, the competition efficiency of the competition staff in a competition platform is improved, and diversified competition use requirements are met.
Description
Technical Field
The invention relates to the technical field of network security, in particular to a network security competition platform.
Background
With the rapid development of the internet, the network space is the fifth space after the air-air space, and the aspects of human production, life, social activities and even consciousness form are directly radiated, so that higher requirements are put on the comprehensive quality of network security practitioners, and how to accurately select excellent talents with excessively hard comprehensive quality from the network security practitioners with uneven level becomes a great problem in front of education institutions and human institutions.
The Chinese patent with the application publication number of CN114090263A discloses a network security competition platform, a competition implementation method and a competition implementation system, wherein the service software resources of the competition platform are formed by effectively configuring cloud base hardware resources formed by base applications, competition service resources are formed by utilizing flexible configuration and scheduling of the service software resources, and complete competition services facing participants in the specific implementation process of competition services are formed by service data guarantee resources; the competition platform has a software and hardware resource scheduling means which adapts to the scale of competition participants and the complexity of competition business, and the efficiency and quality of the full life cycle omnibearing management of the network security competition are effectively improved; the resources are used for forming effective planning and scheduling of competition business, so that the ornamental value, fairness and maintainability of competition are greatly improved;
the prior art has the following defects:
When the existing network security competition platform matches competition environments for competition personnel, unified mode selection matching is generally carried out according to the existing modes prestored in the system, so that applicable objects for selecting the matching modes have limitations, effective and reasonable matching adaptation cannot be carried out on the competition personnel with different capability levels, the phenomenon that the competition personnel with different capability levels cannot adapt to and reduce competition accuracy possibly occurs in the competition platform, and competition requirements of the competition personnel without diversification are met.
In view of the above, the present invention proposes a network security competition platform to solve the above-mentioned problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the following technical scheme for achieving the purposes: a network security competition platform, comprising:
The information management module is used for acquiring comprehensive competition data of competition personnel and generating a hierarchy index based on the comprehensive competition data;
the mode selection module is used for dividing the layers of the racing personnel according to the layer indexes and matching with the selection rules;
The safe competition module is used for selecting a competition mode based on a selection rule, distributing competition questions and generating a competition field;
The competition calculation module is used for collecting competition data of competition personnel at a competition field and generating a competition quality coefficient based on the competition data;
The level evaluation module is used for comparing the competition quality coefficient with a preset competition quality threshold value and generating a competition quality level based on a comparison result;
and the suggestion instruction module is used for generating a suggestion instruction according to the competition quality level.
Further, the comprehensive participating data comprise learning annual limit values, skill added values and middle-low score point occupation ratios;
the method for acquiring the middle and low score point occupation ratio comprises the following steps:
Inquiring the total examination times of competition personnel in a learning stage through a educational administration management system;
Counting the number of unqualified examination times and the number of qualified examination times, namely respectively counting the first examination times and the second examination times;
the first examination times and the second examination times are added and then compared with the total examination times, and the ratio of the middle score point to the low score point is obtained;
The expression of the middle and low score point occupation ratio is:
；
In the method, in the process of the invention, For the middle-low score point occupancy rate,For the first number of tests,For the number of the second exam,The total examination times;
The expression of the hierarchy index is:
；
In the method, in the process of the invention, In the form of a hierarchy index,For learning the annual limit value, the annual limit value is acquired by a student status management system,For the skill added value, the skill added value is obtained through the inquiry of the online certificate inquiry platform,、、Is a weight factor.
Further, the levels of the contest personnel include a first level, a second level, and a third level;
The first, second and third hierarchical partitioning methods include:
Will level index With a preset first level thresholdAnd a second level thresholdIn comparison with the comparison result of the comparison,Less than；
When (when)Less thanDividing into a first hierarchy;
When (when) Less than or equal toAnd (2) andLess thanDividing into a second hierarchy;
When (when) Greater than or equal toAnd dividing into a third hierarchy.
Further, the selection rules include automatic selection, custom selection and hybrid selection;
the matching method of automatic selection, custom selection and mixed selection comprises the following steps:
when the level of the competition personnel is the first level, matching and automatic selection are carried out;
when the level of the competition personnel is the second level, matching the custom selection;
When the level of the contest personnel is the third level, the mixed selection is matched.
Further, the competition mode comprises an individual soldier challenge mode, a comprehensive target range mode and a network mixed combat mode;
the competition field comprises an individual soldier choosing field, a comprehensive target field and a network mixing field;
the method for generating the individual soldier choosing field, the comprehensive target field and the network mixing field comprises the following steps:
identifying the hierarchy of the racing personnel, and matching the matching selection rules with the racing personnel;
The competition personnel select an individual soldier challenge mode, a comprehensive target range mode or a network mixed combat mode based on selection rules;
identifying and marking competition titles corresponding to the competition modes from a title library according to the selected competition modes;
When the selected competition mode is an individual soldier challenge mode, generating an individual soldier choosing field;
When the selected competition mode is a comprehensive target range mode, generating a comprehensive target range;
and when the selected competition mode is a network mixed combat mode, generating a network mixed combat field.
Further, the competition data comprises answer time, unit answer rate and correct fluctuation value;
the method for obtaining the unit answer rate comprises the following steps:
Dividing answering time into equal values according to preset duration A sub-time period;
At the position of Marking the number of the completed competition questions one by one in each sub-time period to obtainA number of answers;
Will be The answer amounts are compared with the preset time length one by one to obtainA sub-rate;
the expression for the subrate is:
；
In the method, in the process of the invention, Is the firstThe sub-rate of the sub-rate,Is the firstThe number of the questions to be answered is the same,The time is preset;
Removing After the maximum and minimum values of the sub-rate, the methodAveraging after accumulating the sub-rates to obtain answering rate;
the expression of the unit answer rate is:
；
In the method, in the process of the invention, Is the answer rate of a unit,Is the firstSub-rate.
Further, the method for obtaining the correct fluctuation value comprises the following steps:
Identifying and counting through a topic verification system of a competition platform The correct number of questions in the number of questions is recorded asCorrect values;
Statistics The total number of the topics in each sub-time period is recorded asA total value;
Will be Correct value ofThe total value is compared one by one to obtainThe accuracy rate;
the expression of the accuracy is:
；
In the method, in the process of the invention, Is the firstThe accuracy of the number of the correction factors,Is the firstThe number of correct values to be used is,Is the firstA total value;
will be the first Accuracy and the firstComparing the difference of the correctness to obtainSub-fluctuation values;
the expression of the sub-fluctuation value is:
；
In the method, in the process of the invention, Is the firstThe sub-fluctuation value is set to be equal to the sub-fluctuation value,Is the firstThe accuracy rate;
Will be Averaging after accumulating the sub-fluctuation values to obtain a correct fluctuation value;
The expression for the correct fluctuation value is:
；
In the method, in the process of the invention, In order for the value of the fluctuation to be correct,Is the firstSub-ripple values.
Further, the expression of the competition quality coefficient is:
；
In the method, in the process of the invention, In order to match the quality coefficient of the game,In order to achieve the time for answering the questions,、、Is a weight factor.
Further, the competition quality level comprises a primary competition quality and a secondary competition quality;
the generation method of the primary competition quality and the secondary competition quality comprises the following steps:
Quality coefficient of competition With a preset competition quality thresholdThe difference value is compared with the reference value,Greater than 0;
When (when) Less thanGenerating first-level competition quality;
When (when) Greater than or equal toAnd generating the quality of the second-level competition.
Further, the advice instructions comprise instructions for maintaining state and reducing answering time, increasing unit answering rate and increasing correct fluctuation value;
The method for generating the instructions for maintaining the state instructions, reducing the answering time, improving the unit answering rate and increasing the correct fluctuation value comprises the following steps:
when the competition quality level is the first-level competition quality, generating instructions for reducing answering time, improving unit answering rate and increasing correct fluctuation value;
When the competition quality level is the secondary competition quality, a maintenance state instruction is generated.
The network security competition platform has the technical effects and advantages that:
the method comprises the steps of obtaining comprehensive competition data of competition personnel, generating a hierarchy index, dividing the hierarchy of the competition personnel according to the hierarchy index, matching a selection rule, selecting a competition mode based on the selection rule, distributing competition questions to generate competition fields, collecting competition data of the competition personnel on the competition fields, generating competition quality coefficients, comparing the competition quality coefficients with a preset competition quality threshold value, generating competition quality levels, and generating a suggestion instruction according to the competition quality levels; compared with the prior art, different competition sites can be formulated according to the difference of self competition data of competition personnel to provide competition personnel for competition, and a suggestion plan suitable for the competition personnel is generated for the competition personnel according to the competition result of the competition personnel, so that the competition personnel can learn network security professional knowledge better, the competition personnel with different levels can be ensured to be matched with own competition modes and competition sites, the competition efficiency of the competition personnel in a competition platform is further improved, the compatibility of the competition platform is also enhanced, and the diversified competition use requirements are met.
Drawings
FIG. 1 is a schematic diagram of a network security competition platform according to embodiment 1 of the present invention;
Fig. 2 is a flow chart of a network security competition method provided in embodiment 2 of the present invention.
Detailed Description
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.
Example 1: referring to fig. 1, the embodiment of a network security competition platform, applied to a network server, includes:
The information management module is used for acquiring comprehensive competition data of competition personnel and generating a hierarchy index based on the comprehensive competition data;
When a competition person logs in to enter the competition platform, the competition platform needs to input own information into the information management module, so that the competition platform can acquire comprehensive competition data of the competition person, so that comprehensive data such as professional skills, capability levels and the like of the competition person are known, and data support is provided for the operation of a subsequent competition platform;
the comprehensive participating data comprise learning annual limit values, skill added values and middle-low score point occupation ratios;
The learning annual limit value refers to the annual time of the competitor for learning the network security education course, the accumulated amount of the network security knowledge of the competitor can be primarily judged by acquiring the learning annual limit value, and when the learning annual limit value is larger, the accumulated amount of the network security knowledge of the competitor is more, the hierarchy index of the competitor is larger; the learning annual limit value is obtained through a student status management system;
The skill added value refers to the number of various skill certificates related to network safety obtained by the competitors, and when the skill added value is larger, the stronger the professional skill of the competitors is, the larger the hierarchy index of the competitors is; the skill added value is inquired and obtained through an online certificate inquiry platform;
The ratio of the middle score points to the low score points refers to the ratio of the times that the competition personnel fails to pass the test and the times that the results pass the total times of the test in the past profession, the test results are divided into excellent, good, pass and fail, the excellent score points and the good score points are high, the score points corresponding to pass and fail are low, and when the ratio of the failed score points is larger, the fact that the test results of the competition personnel are less ideal is indicated, and the hierarchy index of the competition personnel is smaller;
the method for acquiring the middle and low score point occupation ratio comprises the following steps:
Inquiring the total examination times of competition personnel in a learning stage through a educational administration management system;
Counting the number of unqualified examination times and the number of qualified examination times, namely respectively counting the first examination times and the second examination times;
the first examination times and the second examination times are added and then compared with the total examination times, and the ratio of the middle score point to the low score point is obtained;
The expression of the middle and low score point occupation ratio is:
；
In the method, in the process of the invention, For the middle-low score point occupancy rate,For the first number of tests,For the number of the second exam,The total examination times;
The hierarchy index is used for judging the numerical value embodiment of the hierarchy corresponding to the network security professional knowledge of the competition personnel, and when the hierarchy index is larger, the higher the hierarchy corresponding to the network security professional knowledge of the competition personnel is;
The expression of the hierarchy index is:
；
In the method, in the process of the invention, In the form of a hierarchy index,In order to learn the annual limits of the study,For the additional value of the skill,、、Is a weight factor; substituting the set weight factors and the acquired comprehensive participating data into a formula, forming a ternary once equation set by any three formulas, screening the calculated weight factors and taking an average value to obtain、、Is the average value of (2);
In addition, it should be noted that the size of the weight factor is a specific numerical value obtained by quantizing each data, so that the subsequent comparison is convenient, and the size of the weight factor depends on the number of the comprehensive participating data and the preliminary setting of the corresponding weight factor for each group of comprehensive participating data by a person skilled in the art;
the mode selection module is used for dividing the layers of the racing personnel according to the layer indexes and matching with the selection rules;
The level of the competition personnel refers to the depth of the competition personnel for knowing and cognizing the network security professional knowledge, and the competition personnel with different knowledge and cognition depths can be distinguished by dividing the level of the competition personnel, so that the effective distinction among high-level players, medium-level players and low-level players is realized;
The levels of the competition personnel comprise a first level, a second level and a third level, wherein the level of the network security professional knowledge corresponding to the first level is lower than that of the network security professional knowledge corresponding to the second level, and the level of the network security professional knowledge corresponding to the second level is lower than that of the network security professional knowledge corresponding to the third level;
The first, second and third hierarchical partitioning methods include:
Will level index With a preset first level thresholdAnd a second level thresholdIn comparison with the comparison result of the comparison,Less than; The preset first level threshold and the second level threshold are data bases for effectively distinguishing different levels of the racing personnel, so that the levels of the racing personnel can be divided into three levels, the levels of the racing personnel are distinguished, and the preset first level threshold and the preset second level threshold are obtained through coefficient optimization after a large number of level indexes of the racing personnel corresponding to the first level, the second level and the third level of histories are generally collected;
When (when) Less thanWhen the level of knowledge and cognition of competition personnel on network security expertise is low, dividing the level into a first level;
When (when) Less than or equal toAnd (2) andLess thanWhen the competition personnel know and cognize the network security expertise, dividing the network security expertise into a second level;
When (when) Greater than or equal toWhen the level of knowledge and cognition of competition personnel on network security expertise is high, dividing the level into a third level;
The selection rules refer to the basis of selecting the competition mode when the competition personnel enter the competition platform to participate in competition activities, and the competition personnel with different layers correspond to different selection rules and select different competition modes based on different selection rules;
the selection rules comprise automatic selection, custom selection and mixed selection; the automatic selection is that the competition platform automatically selects a competition mode matched with the competition platform for the competition personnel according to the hierarchy of the competition personnel; the custom selection is that competition personnel can select a competition mode in a competition platform in a custom mode according to own requirements; the mixed selection is that racing personnel have the authority of automatic selection and self-defined selection at the same time, and can be freely used between the automatic selection and the self-defined selection;
the matching method of automatic selection, custom selection and mixed selection comprises the following steps:
when the level of the competition personnel is the first level, matching and automatic selection are carried out;
when the level of the competition personnel is the second level, matching the custom selection;
when the level of the competition personnel is the third level, matching and mixing selection is performed;
The safe competition module is used for selecting a competition mode based on a selection rule, distributing competition questions and generating a competition field;
the competition mode is a competition mode when competition staff participate in competition in the competition platform, the competition mode comprises three different modes, namely an individual challenge mode, a comprehensive target range mode and a network mixed combat mode, and the individual challenge means that the competition staff can perform single-person single-machine networking competition in the competition platform without being interfered and influenced by other competition staff; the comprehensive target range indicates that competition personnel can perform local networking competition in the competition platform, and the competition personnel can see competition data of the same local area network competition personnel; the network mixed combat shows that competition personnel can freely select other competition personnel as opponents in the competition platform through the Internet to perform mutual competition;
The competition field refers to an environment provided for competition staff to compete for network safety professional knowledge in a competition platform, and the competition staff can compete in the competition field; the competition field comprises an individual soldier choosing field, a comprehensive target field and a network mixing field;
the method for generating the individual soldier choosing field, the comprehensive target field and the network mixing field comprises the following steps:
identifying the hierarchy of the racing personnel, and matching the matching selection rules with the racing personnel;
The competition personnel select an individual soldier challenge mode, a comprehensive target range mode or a network mixed combat mode based on selection rules;
identifying and marking competition titles corresponding to the competition modes from a title library according to the selected competition modes;
When the selected competition mode is an individual soldier challenge mode, generating an individual soldier choosing field;
When the selected competition mode is a comprehensive target range mode, generating a comprehensive target range;
When the selected competition mode is a network mixed combat mode, generating a network mixed combat field;
by generating three different competition fields, different competition modes can be matched adaptively, so that the actual demands of different competition personnel on different competition environments are met, the compatibility of a competition platform is improved, the demands of different types of competition personnel are met as much as possible, and the comprehensiveness of the competition platform is enhanced;
The competition calculation module is used for collecting competition data of competition personnel at a competition field and generating a competition quality coefficient based on the competition data;
the competition data refer to related data generated when competition staff compete with network security professional knowledge in each competition field, the actual situation of the competition staff in the competition field can be comprehensively evaluated by collecting the competition data, and the competition staff can be helped to better know the information of the competition process;
the competition data comprises answer time, unit answer rate and correct fluctuation value;
The answering time refers to the time for the competitor to complete the competition questions of all network security professional knowledge in the competition field, and when the answering time is larger, the longer the time for the competitor to complete the competition questions is, the smaller the competition quality coefficient is; the answering time is obtained through a timer of the competition platform;
the unit answer rate refers to the ratio of the number of the competition questions completed by the competition staff in unit time, and when the unit answer rate is larger, the competition quality coefficient is larger as the number of the competition questions completed by the competition staff is larger;
the method for obtaining the unit answer rate comprises the following steps:
Dividing answering time into equal values according to preset duration A sub-time period; the preset time length is a time value indicating that the competition personnel can finish a certain number of competition questions in the time period, so that the competition platform can collect competition question data finished by the competition personnel in the preset time length, and the preset time length is obtained by collecting the lowest time length of a great number of competition questions of a great number of competition personnel through collection, and optimizing the coefficient;
At the position of Marking the number of the completed competition questions one by one in each sub-time period to obtainA number of answers;
Will be The answer amounts are compared with the preset time length one by one to obtainA sub-rate;
the expression for the subrate is:
；
In the method, in the process of the invention, Is the firstThe sub-rate of the sub-rate,Is the firstThe number of the questions to be answered is the same,The time is preset;
Removing After the maximum and minimum values of the sub-rate, the methodAveraging after accumulating the sub-rates to obtain answering rate;
the expression of the unit answer rate is:
；
In the method, in the process of the invention, Is the answer rate of a unit,Is the firstA sub-rate;
the correct fluctuation value refers to the ascending and descending variation degree of the correct answer number and the wrong answer number in the competition questions completed by the competition staff, and when the correct fluctuation value is larger, the more the correct answer number of the competition staff is, the larger the competition quality coefficient is;
The method for acquiring the correct fluctuation value comprises the following steps:
Identifying and counting through a topic verification system of a competition platform The correct number of questions in the number of questions is recorded asCorrect values;
Statistics The total number of the topics in each sub-time period is recorded asA total value;
Will be Correct value ofThe total value is compared one by one to obtainThe accuracy rate;
the expression of the accuracy is:
；
In the method, in the process of the invention, Is the firstThe accuracy of the number of the correction factors,Is the firstThe number of correct values to be used is,Is the firstA total value;
will be the first Accuracy and the firstComparing the difference of the correctness to obtainSub-fluctuation values;
the expression of the sub-fluctuation value is:
；
In the method, in the process of the invention, Is the firstThe sub-fluctuation value is set to be equal to the sub-fluctuation value,Is the firstThe accuracy rate;
Will be Averaging after accumulating the sub-fluctuation values to obtain a correct fluctuation value;
The expression for the correct fluctuation value is:
；
In the method, in the process of the invention, In order for the value of the fluctuation to be correct,Is the firstSub-fluctuation values;
the competition quality coefficient is the numerical value of the competition result when the competition staff competes at the competition field, and the larger the competition quality coefficient is, the better the competition performance of the competition staff at the competition field is;
The expression of the competition quality coefficient is:
；
In the method, in the process of the invention, In order to match the quality coefficient of the game,In order to achieve the time for answering the questions,、、Is a weight factor;、、 and the set logic of (1) 、、Is consistent with the setting logic of the (a);
The level evaluation module is used for comparing the competition quality coefficient with a preset competition quality threshold value and generating a competition quality level based on a comparison result;
The competition quality level is the grade division of competition results obtained after competition is completed in the competition platform, and is used for distinguishing the competition results of the network security professional knowledge competition of competition personnel at this time, so that data support is provided for the subsequent reinforcement training and study of the network security professional knowledge of the competition personnel;
The competition quality level comprises a first-level competition quality and a second-level competition quality; the competition score corresponding to the primary competition quality is low, and the competition score corresponding to the secondary competition quality is high;
the generation method of the primary competition quality and the secondary competition quality comprises the following steps:
Quality coefficient of competition With a preset competition quality thresholdThe difference value is compared with the reference value,Greater than 0; the preset competition quality threshold is a numerical value capable of effectively distinguishing the level of competition results, so that a judgment basis is provided for whether competition personnel need to carry out training and learning of network security expertise, and the preset competition quality threshold is obtained after acquiring a large amount of historical training and learning of network security expertise and corresponding competition quality coefficients without carrying out training and learning of network security expertise and optimizing the coefficients;
When (when) Less thanWhen the competition performance of the competition personnel is low, generating first-level competition quality;
When (when) Greater than or equal toWhen the competition performance of the competition personnel is high, generating a second-level competition quality;
The advice instruction module is used for generating advice instructions according to the competition quality level;
the advice instruction is advice measures for training and learning the network security expertise of the competition personnel automatically formulated by the competition platform according to the level of the competition performance of the competition personnel, and the formulated advice measures can give the competition personnel an adaptive training and learning strategy of the network security expertise, thereby overcoming the defect of the competition personnel in a certain aspect and improving the overall quality of the network security expertise of the competition personnel;
The advice instructions comprise instructions for maintaining state and reducing answering time, increasing unit answering rate and increasing correct fluctuation value;
The method for generating the instructions for maintaining the state instructions, reducing the answering time, improving the unit answering rate and increasing the correct fluctuation value comprises the following steps:
when the competition quality level is the first-level competition quality, generating instructions for reducing answering time, improving unit answering rate and increasing correct fluctuation value;
when the competition quality level is the secondary competition quality, generating a maintenance state instruction;
It should be noted that, reducing answering time refers to reducing the time spent by the competitor in completing the competition questions, when the goal of reducing answering time needs to be achieved, the answering time of the network security practitioner needs to be optimized continuously in daily training and learning, unnecessary thinking time of the questions is compressed, and the waste time is reduced;
The improvement of the unit answer rate refers to the increase of the answer amount of network security practitioners in unit time, and when the aim of improving the unit answer rate is needed, the answer strategy needs to be optimized in daily training and learning, and the rejection and layout are carried out by combining the difficulty level of the questions;
The instruction for increasing the correct fluctuation value refers to increasing the answer accuracy of network security practitioners, and when the aim of increasing the correct fluctuation value needs to be achieved, the network security practitioners are required to strengthen the answer in daily training and learning, avoid the occurrence of small errors, and strengthen the understanding and accumulation of basic knowledge.
In the embodiment, a hierarchy index is generated by acquiring comprehensive competition data of competition personnel, the hierarchy of the competition personnel is divided according to the hierarchy index, a selection rule is matched, a competition mode is selected based on the selection rule, competition topics are distributed to generate competition fields, competition data of the competition personnel in the competition fields are acquired to generate competition quality coefficients, the competition quality coefficients are compared with a preset competition quality threshold value to generate competition quality levels, and a suggestion instruction is generated according to the competition quality levels; compared with the prior art, different competition sites can be formulated according to the difference of self competition data of competition personnel to provide competition personnel for competition, and a suggestion plan suitable for the competition personnel is generated for the competition personnel according to the competition result of the competition personnel, so that the competition personnel can learn network security professional knowledge better, the competition personnel with different levels can be ensured to be matched with own competition modes and competition sites, the competition efficiency of the competition personnel in a competition platform is further improved, the compatibility of the competition platform is also enhanced, and the diversified competition use requirements are met.
Example 2: referring to fig. 2, the embodiment is not described in detail in embodiment 1, and provides a network security competition method, which is implemented based on a network security competition platform, and includes:
S1: acquiring comprehensive competition data of competition personnel, and generating a hierarchy index based on the comprehensive competition data;
the comprehensive participating data comprise learning annual limit values, skill added values and middle-low score point occupation ratios;
the learning age limit value refers to the age time of the network security education course for the competitor, and the accumulated amount of the network security knowledge of the competitor can be primarily judged by acquiring the learning age; the learning annual limit value is obtained through a student status management system;
The skill added value refers to the number of various skill certificates related to network security obtained by competing personnel; the skill added value is inquired and obtained through an online certificate inquiry platform;
The ratio of the middle score to the low score points refers to the ratio of the times that the competition staff fails the score and the times that the score is qualified in the examination occupy the total times of the examination in the history profession;
the method for acquiring the middle and low score point occupation ratio comprises the following steps:
Inquiring the total examination times of competition personnel in a learning stage through a educational administration management system;
Counting the number of unqualified examination times and the number of qualified examination times, namely respectively counting the first examination times and the second examination times;
the first examination times and the second examination times are added and then compared with the total examination times, and the ratio of the middle score point to the low score point is obtained;
The expression of the middle and low score point occupation ratio is:
；
In the method, in the process of the invention, For the middle-low score point occupancy rate,For the first number of tests,For the number of the second exam,The total examination times;
The hierarchy index is used for judging the numerical value embodiment of the hierarchy corresponding to the network security professional knowledge of the competition personnel, and when the hierarchy index is larger, the higher the hierarchy corresponding to the network security professional knowledge of the competition personnel is;
The expression of the hierarchy index is:
；
In the method, in the process of the invention, In the form of a hierarchy index,In order to learn the annual limits of the study,For the additional value of the skill,、、Is a weight factor;
After learning annual limit values, skill added values and middle-low score point occupation ratios are obtained, the hierarchy index can be calculated, so that the hierarchy index can be used for representing the professional skill intensity and the capability hierarchy level mastered by competition personnel, thereby meeting the data acquisition requirements of education service institutions before building competition platforms of different competition personnel and providing basis for subsequent education services;
S2: dividing the level of competition personnel according to the level index, and matching with a selection rule;
the levels of the contest staff include a first level, a second level and a third level; the level of the network security expertise corresponding to the first level is lower than the level of the network security expertise corresponding to the second level, and the level of the network security expertise corresponding to the second level is lower than the level of the network security expertise corresponding to the third level;
The first, second and third hierarchical partitioning methods include:
Will level index With a preset first level thresholdAnd a second level thresholdIn comparison with the comparison result of the comparison,Less than；
When (when)Less thanWhen the level of knowledge and cognition of competition personnel on network security expertise is low, dividing the level into a first level;
When (when) Less than or equal toAnd (2) andLess thanWhen the competition personnel know and cognize the network security expertise, dividing the network security expertise into a second level;
When (when) Greater than or equal toWhen the level of knowledge and cognition of competition personnel on network security expertise is high, dividing the level into a third level;
the selection rules comprise automatic selection, custom selection and mixed selection; the automatic selection is that the competition platform automatically selects a competition mode matched with the competition platform for the competition personnel according to the hierarchy of the competition personnel; the custom selection is that competition personnel can select a competition mode in a competition platform in a custom mode according to own requirements; the mixed selection is that racing personnel have the authority of automatic selection and self-defined selection at the same time, and can be freely used between the automatic selection and the self-defined selection;
the matching method of automatic selection, custom selection and mixed selection comprises the following steps:
When the level of the competition personnel is the first level, matching and automatic selection are carried out; when the level of the competition personnel is the second level, matching the custom selection; when the level of the competition personnel is the third level, matching and mixing selection is performed;
After the competition personnel match the selection rules which are suitable for the competition personnel, the competition personnel can accurately select the competition mode of the competition personnel in the competition platform under the limit of the matched selection rules, so that the competition requirements of the competition personnel with different level indexes are met, and a foundation is provided for the efficient and accurate operation of different education service institutions;
S3: selecting a competition mode based on the selection rule, distributing competition questions, and generating a competition field;
The competition mode comprises an individual challenge mode, a comprehensive target range mode and a network mixed combat mode, wherein the individual challenge represents that competition personnel can perform single-person networking-free competition in a competition platform and is not interfered and influenced by other competition personnel; the comprehensive target range indicates that competition personnel can perform local networking competition in the competition platform, and the competition personnel can see competition data of the same local area network competition personnel; the network mixed combat shows that competition personnel can freely select other competition personnel as opponents in the competition platform through the Internet to perform mutual competition;
By selecting different competition modes, the method can provide consistent competition scenes for competition personnel with different capacities and different demands, so that the competition personnel can accurately position in a competition platform, and provide basis for the generation of subsequent competition fields, thereby meeting the actual demands of different competition personnel for different competition environments, improving the compatibility of the competition platform, meeting the demands of different types of competition personnel as far as possible, and further guaranteeing the effective establishment of the competition platform of educational service;
When the selected competition mode is an individual soldier challenge mode, generating an individual soldier choosing field;
When the selected competition mode is a comprehensive target range mode, generating a comprehensive target range;
When the selected competition mode is a network mixed combat mode, generating a network mixed combat field;
s4: collecting competition data of competition personnel at a competition field, and generating a competition quality coefficient based on the competition data;
the competition data comprises answer time, unit answer rate and correct fluctuation value;
The answering time refers to the time for the competition staff to finish the competition questions of all network security professional knowledge in the competition field, and the answering time is acquired through a timer of the competition platform;
the method for obtaining the unit answer rate comprises the following steps:
Dividing answering time into equal values according to preset duration A sub-time period;
At the position of Marking the number of the completed competition questions one by one in each sub-time period to obtainA number of answers;
Will be The answer amounts are compared with the preset time length one by one to obtainA sub-rate;
the expression for the subrate is:
；
In the method, in the process of the invention, Is the firstThe sub-rate of the sub-rate,Is the firstThe number of the questions to be answered is the same,The time is preset;
Removing After the maximum and minimum values of the sub-rate, the methodAveraging after accumulating the sub-rates to obtain answering rate;
the expression of the unit answer rate is:
；
In the method, in the process of the invention, Is the answer rate of a unit,Is the firstA sub-rate;
The method for acquiring the correct fluctuation value comprises the following steps:
Identifying and counting through a topic verification system of a competition platform The correct number of questions in the number of questions is recorded asCorrect values;
Statistics The total number of the topics in each sub-time period is recorded asA total value;
Will be Correct value ofThe total value is compared one by one to obtainThe accuracy rate;
the expression of the accuracy is:
；
In the method, in the process of the invention, Is the firstThe accuracy of the number of the correction factors,Is the firstThe number of correct values to be used is,Is the firstA total value;
will be the first Accuracy and the firstComparing the difference of the correctness to obtainSub-fluctuation values;
the expression of the sub-fluctuation value is:
；
In the method, in the process of the invention, Is the firstThe sub-fluctuation value is set to be equal to the sub-fluctuation value,Is the firstThe accuracy rate;
Will be Averaging after accumulating the sub-fluctuation values to obtain a correct fluctuation value;
The expression for the correct fluctuation value is:
；
In the method, in the process of the invention, In order for the value of the fluctuation to be correct,Is the firstSub-fluctuation values;
The expression of the competition quality coefficient is:
；
In the method, in the process of the invention, In order to match the quality coefficient of the game,In order to achieve the time for answering the questions,、、Is a weight factor;
After the competition quality coefficient is obtained, the competition quality coefficient can be used as the basis for judging the competition score of the competition personnel in the competition platform, the actual performance of the competition personnel in the competition platform and the network security professional knowledge mastered by the competition personnel can be represented, and an accurate numerical basis is provided for the competition conclusion of the education service, so that the accuracy of the competition result in the competition platform of the education service is improved;
S5: comparing the competition quality coefficient with a preset competition quality threshold value, and generating a competition quality level based on a comparison result;
The competition quality level comprises a first-level competition quality and a second-level competition quality; the competition score corresponding to the primary competition quality is low, and the competition score corresponding to the secondary competition quality is high;
the generation method of the primary competition quality and the secondary competition quality comprises the following steps:
Quality coefficient of competition With a preset competition quality thresholdThe difference value is compared with the reference value,Greater than 0;
When (when) Less thanWhen the competition performance of the competition personnel is low, generating first-level competition quality;
When (when) Greater than or equal toWhen the competition performance of the competition personnel is high, generating a second-level competition quality;
The competition quality level is the grading of competition results obtained after competition is completed in the competition platform, so that data support is provided for the subsequent reinforcement training and study of network security professional knowledge of competition personnel, the competition personnel can be more efficiently put into the education service of the network security professional knowledge, and the education effect of the network security professional knowledge is improved;
s6: generating a suggestion instruction according to the competition quality level;
The advice instructions comprise instructions for maintaining state and reducing answering time, increasing unit answering rate and increasing correct fluctuation value;
when the competition quality level is the first-level competition quality, generating instructions for reducing answering time, improving unit answering rate and increasing correct fluctuation value;
Because the first-level competition quality shows that the competition performance of the competition personnel is low, the competition personnel at the moment has poor performance on the competition platform, the specific data of the competition personnel in the competition platform is required to be improved in a targeted manner, at the moment, instructions for reducing answering time, improving unit answering rate and increasing correct fluctuation value are generated, so that the competition personnel needs to continuously optimize the answering time of network security practitioners in daily training and learning, compress unnecessary thinking time of the questions, reduce waste time, simultaneously, need to optimize the strategy of answering in daily training and learning, combine the difficulty level of the questions to discard and layout, and also need to strengthen the examination questions in daily training and learning by the network security practitioners, avoid the occurrence of small errors, and strengthen understanding and accumulation of basic knowledge to realize the targeted education and deficiency effects of the competition personnel, and improve the mastery of the competition personnel on network security professional knowledge;
when the competition quality level is the secondary competition quality, a maintenance state instruction is generated, and the primary competition quality indicates that the competition performance of the competition personnel is high, and the competition personnel perform well on the competition platform, so that the competition personnel only need to keep the current learning and education state continuously, and no additional learning strategy and education plan are required to be formulated for the competition personnel.
Based on the steps S1-S6, the competition data of the competition personnel with different capability levels can be accurately obtained, competition modes and competition sites corresponding to the competition personnel with different capability levels are formulated aiming at the competition personnel with different capability levels, so that different competition personnel can conduct efficient and stable network security competition in a correct competition scene, and suggestion plans corresponding to the competition personnel are given based on different competition results of the competition personnel, the competition personnel can be helped to conduct network security education learning, and the effect of network security education is further enhanced.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A network security competition platform, comprising:
The information management module is used for acquiring comprehensive competition data of competition personnel and generating a hierarchy index based on the comprehensive competition data;
the comprehensive participating data comprise learning annual limit values, skill added values and middle-low score point occupation ratios;
the method for acquiring the middle and low score point occupation ratio comprises the following steps:
Inquiring the total examination times of competition personnel in a learning stage through a educational administration management system;
Counting the number of unqualified examination times and the number of qualified examination times, namely respectively counting the first examination times and the second examination times;
the first examination times and the second examination times are added and then compared with the total examination times, and the ratio of the middle score point to the low score point is obtained;
The expression of the middle and low score point occupation ratio is:
；
In the method, in the process of the invention, For the middle-low score point occupancy rate,For the first number of tests,For the number of the second exam,The total examination times;
The expression of the hierarchy index is:
；
In the method, in the process of the invention, In the form of a hierarchy index,For learning the annual limit value, the annual limit value is acquired by a student status management system,For the skill added value, the skill added value is obtained through the inquiry of the online certificate inquiry platform,、、Is a weight factor;
the mode selection module is used for dividing the layers of the racing personnel according to the layer indexes and matching with the selection rules;
The levels of the contest staff include a first level, a second level and a third level;
The first, second and third hierarchical partitioning methods include:
Will level index With a preset first level thresholdAnd a second level thresholdIn comparison with the comparison result of the comparison,Less than；
When (when)Less thanDividing into a first hierarchy;
When (when) Less than or equal toAnd (2) andLess thanDividing into a second hierarchy;
When (when) Greater than or equal toDividing into a third layer;
the selection rules comprise automatic selection, custom selection and mixed selection;
the matching method of automatic selection, custom selection and mixed selection comprises the following steps:
when the level of the competition personnel is the first level, matching and automatic selection are carried out;
when the level of the competition personnel is the second level, matching the custom selection;
when the level of the competition personnel is the third level, matching and mixing selection is performed;
The safe competition module is used for selecting a competition mode based on a selection rule, distributing competition questions and generating a competition field;
the competition mode comprises an individual soldier challenge mode, a comprehensive shooting range mode and a network mixed combat mode;
the competition field comprises an individual soldier choosing field, a comprehensive target field and a network mixing field;
the method for generating the individual soldier choosing field, the comprehensive target field and the network mixing field comprises the following steps:
identifying the hierarchy of the racing personnel, and matching the matching selection rules with the racing personnel;
The competition personnel select an individual soldier challenge mode, a comprehensive target range mode or a network mixed combat mode based on selection rules;
identifying and marking competition titles corresponding to the competition modes from a title library according to the selected competition modes;
When the selected competition mode is an individual soldier challenge mode, generating an individual soldier choosing field;
When the selected competition mode is a comprehensive target range mode, generating a comprehensive target range;
When the selected competition mode is a network mixed combat mode, generating a network mixed combat field;
The competition calculation module is used for collecting competition data of competition personnel at a competition field and generating a competition quality coefficient based on the competition data;
The level evaluation module is used for comparing the competition quality coefficient with a preset competition quality threshold value and generating a competition quality level based on a comparison result;
and the suggestion instruction module is used for generating a suggestion instruction according to the competition quality level.
2. The web-enabled secure competition platform of claim 1, wherein the competition data comprises a response time, a unit response rate, and a correct fluctuation value;
the method for obtaining the unit answer rate comprises the following steps:
Dividing answering time into equal values according to preset duration A sub-time period;
At the position of Marking the number of the completed competition questions one by one in each sub-time period to obtainA number of answers;
Will be The answer amounts are compared with the preset time length one by one to obtainA sub-rate;
the expression for the subrate is:
；
In the method, in the process of the invention, Is the firstThe sub-rate of the sub-rate,Is the firstThe number of the questions to be answered is the same,The time is preset;
Removing After the maximum and minimum values of the sub-rate, the methodAveraging after accumulating the sub-rates to obtain answering rate;
the expression of the unit answer rate is:
；
In the method, in the process of the invention, Is the answer rate of a unit,Is the firstSub-rate.
3. The network security competition platform of claim 2, wherein the method for obtaining the correct fluctuation value comprises:
Identifying and counting through a topic verification system of a competition platform The correct number of questions in the number of questions is recorded asCorrect values;
Statistics The total number of the topics in each sub-time period is recorded asA total value;
Will be Correct value ofThe total value is compared one by one to obtainThe accuracy rate;
the expression of the accuracy is:
；
In the method, in the process of the invention, Is the firstThe accuracy of the number of the correction factors,Is the firstThe number of correct values to be used is,Is the firstA total value;
will be the first Accuracy and the firstComparing the difference of the correctness to obtainSub-fluctuation values;
the expression of the sub-fluctuation value is:
；
In the method, in the process of the invention, Is the firstThe sub-fluctuation value is set to be equal to the sub-fluctuation value,Is the firstThe accuracy rate;
Will be Averaging after accumulating the sub-fluctuation values to obtain a correct fluctuation value;
The expression for the correct fluctuation value is:
；
In the method, in the process of the invention, In order for the value of the fluctuation to be correct,Is the firstSub-ripple values.
4. A network security competition platform as claimed in claim 3, wherein the competition quality coefficients are expressed as:
；
In the method, in the process of the invention, In order to match the quality coefficient of the game,In order to achieve the time for answering the questions,、、Is a weight factor.
5. A network security competition platform as set forth in claim 4 wherein the competition quality levels include a primary competition quality and a secondary competition quality;
the generation method of the primary competition quality and the secondary competition quality comprises the following steps:
Quality coefficient of competition With a preset competition quality thresholdThe difference value is compared with the reference value,Greater than 0;
When (when) Less thanGenerating first-level competition quality;
When (when) Greater than or equal toAnd generating the quality of the second-level competition.
6. The network security competition platform of claim 5, wherein the advice instructions include maintain status instructions and reduce answer time, increase unit answer rate, and increase correct fluctuation value instructions;
The method for generating the instructions for maintaining the state instructions, reducing the answering time, improving the unit answering rate and increasing the correct fluctuation value comprises the following steps:
when the competition quality level is the first-level competition quality, generating instructions for reducing answering time, improving unit answering rate and increasing correct fluctuation value;
When the competition quality level is the secondary competition quality, a maintenance state instruction is generated.
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