CN111538982A - Multistage multi-element serial authentication method and system for smart education cloud platform - Google Patents
Multistage multi-element serial authentication method and system for smart education cloud platform Download PDFInfo
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Abstract
The application discloses a multistage multi-element serial authentication method and system for a smart education cloud platform, wherein a function weight baseline and a business weight baseline of the platform are determined according to specific project requirements; determining the priority and the weight of each functional node and service node of the platform to obtain a platform functional list and a platform service list; obtaining a platform authentication milestone node list and a platform evidence obtaining milestone node list through deep analysis of a platform function list and a platform service list; and determining the authentication mode or the evidence obtaining mode of each service node in the platform authentication milestone node list and the platform evidence obtaining milestone node list according to various authentication modes of comprehensive analysis and evaluation. Compared with a single authentication mode, different authentication and evidence obtaining modes are adopted for different key nodes, all key elements in online education and teaching can be accurately and effectively recorded, and the problem that students cannot reserve complete authentication chains and learning evidence chains on the intelligent education cloud platform is solved.
Description
Technical Field
The application relates to the technical field of intelligent education, in particular to a multistage multi-element serial authentication method and system for a cloud platform of intelligent education.
Background
The project construction of the intelligent education cloud platform aims to focus on resource integration, and centralized acquisition and multi-party utilization of basic data are achieved. The identity authentication technology commonly existing in the current online education intelligent education cloud platform of the online education platform for improving education quality and accelerating the reduction of regional education gap is mostly Based on the account authentication of Role-Based Access Control (RBAC) and the message authentication Based on the SMS. There are also a few uses of Optical Character Recognition (OCR) based authentication of identities, class assessment based authentication of processes, and WebRTC based authentication of online learning. Biometric authentication based on living body identification and contract authentication based on electronic signature are substantially absent.
The RBAC realizes the logical separation of users and authorities by introducing the concept of roles, supports the separation of the responsibilities of technical personnel and service personnel, and realizes the authority management and control by the users obtaining the authorities to operate objects by obtaining the roles. Message authentication based on Short Message Service (SMS) is a novel information authentication technology developed along with the promotion of the popularity of mobile communication terminals and the real-name authentication requirement of mobile phone cards. With the increase of the popularity of mobile communication terminals, the login verification mode of some information platforms is upgraded from the traditional account password verification to realize rapid login registration by sending verification code authentication to a mobile phone with real-name authentication.
However, the RBAC is a policy-independent and non-autonomous access control model, and has disadvantages in a complex organization and an application system of a large number of users, mainly in that the users can only be authorized and cannot actively give authority to others. For complex systems with large amounts of resources, the management and organization of the resources and associated permissions is unchanged. The RBAC is a static model and cannot meet the dynamic requirements in special cases. The fast authentication service realized by the message authentication based on the Short Message Service (SMS) has the risk that the authentication message is easy to hijack, thereby causing the authentication failure. Although the OCR technology is popularized and applied in a specific field, the OCR technology can only identify static image files, and the fact that a person who uploads an identity card picture is a student can not be judged by identifying the identity card picture information in the authentication process in the field of online education and training, and the OCR technology needs to be combined with other authentication modes to achieve the effect. Similar situations exist in the authentication process of other various authentication modes for teaching and training students on line, a single authentication mode cannot accurately authenticate the students, the learning behaviors of the students cannot be accurately monitored, and an authentication chain for teaching and training on line cannot be effectively formed; therefore, the effectiveness of online education and training is ensured, and the teaching quality of online education and training is improved.
Disclosure of Invention
In order to solve the technical problems, the following technical scheme is provided:
in a first aspect, an embodiment of the present application provides a multi-level multi-element serial authentication method for a smart education cloud platform, where the method includes: determining a function weight baseline and a business weight baseline of a platform according to specific project requirements; determining the priority and the weight of each functional node and each service node of the platform according to the functional weight baseline and the service weight baseline to obtain a platform functional list and a platform service list; obtaining a platform authentication milestone node list and a platform evidence obtaining milestone node list through deep analysis of a platform function list and a platform service list; and determining the authentication mode or the evidence obtaining mode of each service node in the platform authentication milestone node list and the platform evidence obtaining milestone node list according to various authentication modes of comprehensive analysis and evaluation.
By adopting the implementation mode, compared with a single authentication mode, different authentication and evidence obtaining modes are adopted for different key nodes, so that the key elements in online education and teaching can be accurately and effectively recorded, and the problem that a student cannot reserve a complete authentication chain and a complete learning evidence chain on a smart education cloud platform is solved.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the determining a functional weight baseline and a business weight baseline of a platform includes: determining a function weight baseline according to the specific requirements of the project by combining historical successful project experience and the suggestions of experts in the project service field; and obtaining the service weight baseline according to the specific requirements of the project and by combining historical successful project experience and the suggestions of experts in the project service field.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, determining priorities and weights of each function node and each service node of a platform according to the function weight baseline and the service weight baseline to obtain a platform function list and a platform service list includes: analyzing and evaluating the relevance, importance and risk content of each functional node of the platform according to the functional weight base line, and determining the priority and weight of each functional node and the relevance among the functional nodes to generate the platform function list; and generating the platform service list according to the service weight baseline and the priority, the relevance, the importance and the service risk content of each service node of the platform and the function of the functional node corresponding to the service node.
With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the obtaining a platform authenticated milestone node list and a platform forensics milestone node list by deep analysis of a platform function list and a platform service list includes: determining service nodes corresponding to nodes in the platform authentication milestone node list and the platform evidence obtaining milestone node list from the platform service list according to service weight, priority and relevance elements; and selecting corresponding service nodes from the platform service list to select corresponding functional nodes to generate a platform authentication milestone node list and a platform evidence obtaining milestone node list.
With reference to the first aspect, in a fourth possible implementation manner of the first aspect, the determining, according to comprehensive analysis and evaluation of various types of authentication manners, an authentication manner or a forensics manner of each node in the platform authentication milestone node list and the platform forensics milestone node list includes: the authentication advantages and the authentication defects of various authentication modes are analyzed to obtain an authentication mode analysis list; and determining an authentication mode of the authentication milestone node and a evidence obtaining mode of the evidence obtaining milestone node according to the authentication mode analysis list, the platform authentication milestone node list and the platform evidence obtaining milestone node list to generate an authentication evidence obtaining fusion list.
In a second aspect, an embodiment of the present application provides a multi-level multi-element serial authentication system for a smart education cloud platform, the system including: the first determining module is used for determining a function weight baseline and a business weight baseline of the platform according to specific project requirements; the second determining module is used for determining the priority and the weight of each functional node and each service node of the platform according to the functional weight baseline and the service weight baseline to obtain a platform functional list and a platform service list; the acquisition module is used for acquiring a platform authentication milestone node list and a platform evidence obtaining milestone node list through deep analysis of a platform function list and a platform service list; and the third determining module is used for determining the authentication mode or the evidence obtaining mode of each service node in the platform authentication milestone node list and the platform evidence obtaining milestone node list according to various authentication modes of comprehensive analysis and evaluation.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the first determining module includes: the function weight baseline determining unit is used for determining a function weight baseline according to the specific requirements of the project by combining the historical successful project experience and the suggestions of experts in the project service field; and the business weight baseline determining unit is used for obtaining the business weight baseline by combining historical successful project experience and the suggestion of experts in the project business field.
With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the second determining module includes: the platform function list acquisition unit is used for analyzing and evaluating the relevance, importance and risk contents of each function node of the platform according to the function weight baseline, and determining the priority and weight of each function node and the relevance among the function nodes to generate the platform function list; and the platform service list acquisition unit is used for generating the platform service list according to the service weight baseline and the combination of the priority, the relevance, the importance and the service risk content of each service node of the platform and the function of the functional node corresponding to the service node.
With reference to the second possible implementation manner of the second aspect, in a third possible implementation manner of the second aspect, the obtaining module includes: the service node determining unit is used for determining service nodes corresponding to nodes in the platform authentication milestone node list and the platform evidence obtaining milestone node list from the platform service list according to service weight, priority and relevance elements; and the node acquisition unit is used for selecting corresponding functional nodes from corresponding service nodes from the platform service list to generate a platform authentication milestone node list and a platform evidence obtaining milestone node list.
With reference to the second aspect, in a fourth possible implementation manner of the second aspect, the third determining module includes: the authentication mode analysis list acquisition unit is used for analyzing the authentication advantages and the authentication defects of various authentication modes to acquire an authentication mode analysis list; and the authentication evidence-obtaining fusion list obtaining unit is used for determining the authentication mode of the authentication milestone node and the evidence-obtaining mode of the evidence-obtaining milestone node according to the authentication mode analysis list, the platform authentication milestone node list and the platform evidence-obtaining milestone node list, and generating the authentication evidence-obtaining fusion list.
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Fig. 1 is a schematic flowchart illustrating a multi-level multi-element serial authentication method for a smart education cloud platform according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a multi-level multi-element serial authentication system for a smart education cloud platform according to an embodiment of the present disclosure.
Detailed Description
The present invention will be described with reference to the accompanying drawings and embodiments.
The intelligent Education Cloud platform WECP (wisdom evolution Cloud platform) actively follows the spirit of Education department 'Education informatization 2.0 action plan', takes intelligent Education concept as a guide, takes intelligent technology as a means, takes fusion innovation as a target and takes man-machine cooperation as a strategy, and focuses on building and constructing around an intelligent Education and intelligent teaching system; modern technologies such as cloud computing, big data, mobile internet, artificial intelligence and the like are deeply fused, the continuous fusion and penetration of internet +' and education are promoted, the informatization education is continuously developed in the aspects of connotation, depth and quality, the structural and morphological change and transformation of an education and teaching system are promoted, and new education ideas and modes are gradually formed. The intelligent education cloud platform is a new generation of intelligent education cloud platform with the core of intelligent authentication, intelligent teaching, intelligent tutoring, intelligent monitoring, intelligent evaluation, intelligent research and intelligent decision.
Fig. 1 is a schematic flowchart of a multistage multi-element serial authentication method for a smart education cloud platform according to an embodiment of the present application, and referring to fig. 1, the authentication method in the embodiment includes:
and S101, determining a function weight baseline and a business weight baseline of the platform according to specific project requirements.
And determining a functional weight baseline according to the specific requirements of the project and by combining historical successful project experience and the suggestions of experts in the project service field. As shown in table 1, the platform function weights are classified into five levels according to the functional importance of the smart education cloud platform, and a function weight baseline FWB is determined.
TABLE 1 platform functional weight Baseline
| Serial number | Function weight | Weight of | Description of weights |
| FWB001 | First stage | 5 | Platform core functionality |
| FWB002 | Second stage | 4 | Non-platform core function, but extremely strong correlation |
| FWB003 | Three-stage | 3 | Non-platform core function, moderate correlation strength |
| FWB004 | Four |
2 | Non-platform core function, correlation strength in general |
| FWB005 | Five stages | 1 | Platform independent function |
And obtaining the service weight baseline according to the specific requirements of the project and by combining historical successful project experience and the suggestions of experts in the project service field. As shown in table 2, the platform business weights are classified into three levels according to the business importance of the smart education cloud platform, and a business weight baseline SWB is determined.
TABLE 2 platform Business weight Baseline
And S102, determining the priority and the weight of each functional node and each service node of the platform according to the functional weight baseline and the service weight baseline to obtain a platform functional list and a platform service list.
And analyzing, combing and decomposing the service requirements of the intelligent education cloud platform, and combining past project experience to form a functional module list convenient for understanding and operation. And analyzing and evaluating the relevance, importance and risk content of each functional node of the platform according to the functional weight baseline, determining the priority and weight of each functional node and the relevance between the functional nodes, and generating the platform function list PFL as shown in Table 3.
TABLE 3 platform function List
The business requirements of the smart education cloud platform are centered around, namely, the business requirements of the subsequent smart education cloud platform are focused on, the problem that the current smart education cloud platform needs to solve urgently is also found, contents such as the whole business, the cause environment factors, the organization process assets and the like of the smart education cloud platform are deeply considered, all businesses contained in the smart education cloud platform are combed, and the platform business list PSL is generated according to the business weight baseline and the priorities, the relevance, the importance, the business risk contents of all business nodes of the platform and the functions of the functional nodes corresponding to the business nodes, wherein the table 4 shows.
TABLE 4 platform services List
S103, obtaining a platform authentication milestone node list and a platform evidence obtaining milestone node list through deep analysis of the platform function list and the platform service list.
And determining service nodes corresponding to nodes in the platform authentication milestone node list and the platform evidence obtaining milestone node list from the platform service list according to the service weight, the priority and the relevance elements. And selecting corresponding service nodes from the platform service list, selecting corresponding functional nodes from the corresponding service nodes, and generating a platform authentication milestone node list and a platform evidence obtaining milestone node list, as shown in tables 5 and 6.
TABLE 5 platform authentication milestone node List
TABLE 6 platform evidence-taking milestone node List
And S104, determining the authentication mode or the evidence obtaining mode of each service node in the platform authentication milestone node list and the platform evidence obtaining milestone node list according to various authentication modes of comprehensive analysis and evaluation.
The authentication advantages and the authentication disadvantages of the various authentication modes are analyzed, the various authentication modes are comprehensively analyzed and evaluated, and an authentication mode analysis list is obtained as shown in table 7.
TABLE 7 authentication mode analysis List
The service characteristics of the platform are analyzed, and the platform service authentication milestone node list, the platform evidence obtaining milestone node list and the authentication mode analysis list are combined to ensure that the reasonable authentication and evidence obtaining mode is accessed to the authentication and evidence obtaining milestone nodes so as to ensure that the related information cannot be falsified, is true and effective, and form an authentication evidence obtaining fusion list.
Through the analysis operation, a platform service authentication milestone node list PMN and a platform evidence obtaining milestone node list are obtained; the method has the advantages that the fact that the number of key authentication and evidence obtaining nodes of the current platform is seven is found, and how to ensure that the authentication and evidence obtaining contents of the seven nodes can form an effective and rigorous evidence chain, so that the real intention of a student and a learning evidence chain are further confirmed to be the key points to be solved while the platform is ensured to be safe; by combining the authentication mode analysis list, the purpose of the user cannot be achieved by obtaining a single authentication mode. Therefore, an authentication mode analysis list obtained by early-stage analysis and the difficulty degree of realization and fusion of the authentication mode analysis list are combined, and the intelligent authentication method of multi-level multi-element serial authentication is adopted to perfect and finish the information authentication and evidence obtaining work, so that the rigor, the effectiveness and the authenticity of authentication and evidence obtaining are ensured, and a real, effective and reliable authentication chain and learning chain evidence are obtained. Determining the authentication mode of the authentication milestone node and the evidence obtaining mode of the evidence obtaining milestone node according to the authentication mode analysis list, the platform authentication milestone node list and the platform evidence obtaining milestone node list to generate an authentication evidence obtaining fusion list, as shown in table 8:
TABLE 8 authentication and forensics fusion List
By introducing technologies such as face recognition, OCR recognition and voice print recognition in the links of student registration authentication, training learning, examination evaluation and the like, the identity authentication of the students is strictly closed, and the authenticity of student information and the rigor and effectiveness of education and training are ensured.
The authentication system comprises: 1. role-based access control (RBAC) account authentication (user login) 2, biometric authentication (mobile login) 3 based on living body recognition, identity authentication (user registration) 4 based on OCR recognition, online learning authentication (learning process) 5 based on WebRTC, process authentication (learning process) 6 based on evaluation of lessons, message authentication (user login) 7 based on SMS, contract authentication (contract) based on electronic signature
The online learning and training of students are realized by means of technologies such as video on demand, live video broadcast, WebRTC, mobile application, instant messaging and the like; meanwhile, deep mining and analysis are carried out on the learning historical information of the trainees by means of a big data analysis technology, and trainee figures are obtained to assist on-line teaching and training.
By means of technologies such as intelligent robots and intelligent voice, online customer service and training robots are mainly created through voiceprint recognition, interactive information recognition, semantic analysis and the like of students to assist teaching, and accordingly 7-24-hour all-weather teaching and training is achieved.
By applying the technologies such as WebRTC, instant messaging, message notification and big data analysis, behavior monitoring, action grabbing, image grabbing and image identification in the learning and training process of the student are realized, the learning behavior chain of the student is saved, the learning history of the student can be traced, and therefore the learning authenticity and reliability of the student are guaranteed.
Introducing intelligent simulation test in the education and teaching process through OCR (optical character recognition), voiceprint recognition and image recognition technologies, analyzing test evaluation information in the education and teaching, and quickly generating test evaluation results; the education teaching evaluation scene is enriched, and the diversity of evaluation forms is increased; the working pressure of the staff of the professor is reduced, so that the working efficiency of the staff of the professor is improved, and the accuracy of the evaluation result is improved.
Through technologies such as big data analysis, intelligent voice and intelligent investigation, education and teaching investigation work is regularly carried out on specific training objects in the platform, the latest feedback of students and parents is obtained, and through subsequent data analysis and processing, intelligent decision making is assisted, so that support is provided for the development of subsequent education and teaching.
The whole authentication process of the intelligent education cloud platform runs through the full life cycle of intelligent education, and the student authentication chain and the learning evidence chain obtained through the process are real, reliable and effective, so that the healthy operation of the intelligent education cloud platform is guaranteed. Compared with a single authentication mode, different authentication and evidence obtaining modes are adopted for different key nodes, all the key nodes in online education and teaching can be accurately and effectively recorded, and the problem that a student cannot keep a complete authentication chain and a complete learning evidence chain on a smart education cloud platform is solved.
In correspondence to the multi-level multi-element serial authentication method for the smart education cloud platform provided in the above embodiment, the present application also provides an embodiment of a multi-level multi-element serial authentication system for the smart education cloud platform, and referring to fig. 2, the multi-level multi-element serial authentication system 20 for the smart education cloud platform includes: a first determining module 201, a second determining module 202, an obtaining module 203 and a third determining module 204.
The first determining module 201 is configured to determine a functional weight baseline and a business weight baseline of a platform according to specific project requirements.
The first determining module 201 includes: a functional weight baseline determination unit and a traffic weight baseline determination unit.
And the functional weight baseline determining unit is used for determining the functional weight baseline according to the specific requirements of the project and by combining the historical successful project experience and the suggestions of experts in the project service field. And the business weight baseline determining unit is used for obtaining the business weight baseline by combining historical successful project experience and the suggestion of experts in the project business field.
The second determining module 202 is configured to determine priorities and weights of each function node and each service node of the platform according to the function weight baseline and the service weight baseline, so as to obtain a platform function list and a platform service list.
The second determining module 202 includes: a platform function list acquisition unit and a platform service list acquisition unit.
And the platform function list acquisition unit is used for analyzing and evaluating the relevance, importance and risk contents of each function node of the platform according to the function weight baseline, and determining the priority and weight of each function node and the relevance among the function nodes to generate the platform function list. And the platform service list acquisition unit is used for generating the platform service list according to the service weight baseline and the combination of the priority, the relevance, the importance and the service risk content of each service node of the platform and the function of the functional node corresponding to the service node.
The obtaining module 203 is configured to obtain a platform authentication milestone node list and a platform evidence obtaining milestone node list through deep analysis of the platform function list and the platform service list.
The obtaining module 203 includes: a service node determining unit and a node obtaining unit. And the service node determining unit is used for determining service nodes corresponding to the nodes in the platform authentication milestone node list and the platform evidence obtaining milestone node list from the platform service list according to the service weight, the priority and the relevance elements. And the node acquisition unit is used for selecting corresponding functional nodes from corresponding service nodes from the platform service list to generate a platform authentication milestone node list and a platform evidence obtaining milestone node list.
The third determining module 204 is configured to determine an authentication mode or a forensics mode of each service node in the platform authentication milestone node list and the platform forensics milestone node list according to various types of authentication modes of comprehensive analysis and evaluation.
The third determining module 204 includes: the authentication mode analysis list acquisition unit and the authentication evidence obtaining fusion list acquisition unit.
And the authentication mode analysis list acquisition unit is used for analyzing the authentication advantages and the authentication defects of various authentication modes to acquire an authentication mode analysis list. And the authentication evidence-obtaining fusion list obtaining unit is used for determining the authentication mode of the authentication milestone node and the evidence-obtaining mode of the evidence-obtaining milestone node according to the authentication mode analysis list, the platform authentication milestone node list and the platform evidence-obtaining milestone node list, and generating the authentication evidence-obtaining fusion list.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Of course, the above description is not limited to the above examples, and technical features that are not described in this application may be implemented by or using the prior art, and are not described herein again; the above embodiments and drawings are only for illustrating the technical solutions of the present application and not for limiting the present application, and the present application is only described in detail with reference to the preferred embodiments instead, it should be understood by those skilled in the art that changes, modifications, additions or substitutions within the spirit and scope of the present application may be made by those skilled in the art without departing from the spirit of the present application, and the scope of the claims of the present application should also be covered.
Claims (10)
1. A multi-level multi-element serial authentication method for a smart education cloud platform is characterized by comprising the following steps:
determining a function weight baseline and a business weight baseline of a platform according to specific project requirements;
determining the priority and the weight of each functional node and each service node of the platform according to the functional weight baseline and the service weight baseline to obtain a platform functional list and a platform service list;
obtaining a platform authentication milestone node list and a platform evidence obtaining milestone node list through deep analysis of a platform function list and a platform service list;
and determining the authentication mode or the evidence obtaining mode of each service node in the platform authentication milestone node list and the platform evidence obtaining milestone node list according to various authentication modes of comprehensive analysis and evaluation.
2. The method of claim 1, wherein determining the functional weight baseline and business weight baseline of the platform comprises:
determining a function weight baseline according to the specific requirements of the project by combining historical successful project experience and the suggestions of experts in the project service field;
and obtaining the service weight baseline according to the specific requirements of the project and by combining historical successful project experience and the suggestions of experts in the project service field.
3. The multi-level multi-element serial authentication method for the intelligent education cloud platform according to claim 2, wherein the determination of the priority and the weight of each function node and each service node of the platform according to the function weight baseline and the service weight baseline to obtain the platform function list and the platform service list comprises:
analyzing and evaluating the relevance, importance and risk content of each functional node of the platform according to the functional weight base line, and determining the priority and weight of each functional node and the relevance among the functional nodes to generate the platform function list;
and generating the platform service list according to the service weight baseline and the priority, the relevance, the importance and the service risk content of each service node of the platform and the function of the functional node corresponding to the service node.
4. The method of claim 3, wherein the obtaining of the platform certified milestone node list and the platform forensic milestone node list by deep analysis of the platform function list and the platform service list comprises:
determining service nodes corresponding to nodes in the platform authentication milestone node list and the platform evidence obtaining milestone node list from the platform service list according to service weight, priority and relevance elements;
and selecting corresponding service nodes from the platform service list to select corresponding functional nodes to generate a platform authentication milestone node list and a platform evidence obtaining milestone node list.
5. The method of claim 1, wherein the step of determining the authentication mode or the evidence obtaining mode of each node in the platform authentication milestone node list and the platform evidence obtaining milestone node list according to the comprehensive analysis and evaluation comprises:
the authentication advantages and the authentication defects of various authentication modes are analyzed to obtain an authentication mode analysis list;
and determining an authentication mode of the authentication milestone node and a evidence obtaining mode of the evidence obtaining milestone node according to the authentication mode analysis list, the platform authentication milestone node list and the platform evidence obtaining milestone node list to generate an authentication evidence obtaining fusion list.
6. A multi-level multi-element serial authentication system for a smart education cloud platform, the system comprising:
the first determining module is used for determining a function weight baseline and a business weight baseline of the platform according to specific project requirements;
the second determining module is used for determining the priority and the weight of each functional node and each service node of the platform according to the functional weight baseline and the service weight baseline to obtain a platform functional list and a platform service list;
the acquisition module is used for acquiring a platform authentication milestone node list and a platform evidence obtaining milestone node list through deep analysis of a platform function list and a platform service list;
and the third determining module is used for determining the authentication mode or the evidence obtaining mode of each service node in the platform authentication milestone node list and the platform evidence obtaining milestone node list according to various authentication modes of comprehensive analysis and evaluation.
7. The multi-level, multi-element, serial authentication system for a smart education cloud platform of claim 6 wherein the first determining module comprises:
the function weight baseline determining unit is used for determining a function weight baseline according to the specific requirements of the project by combining the historical successful project experience and the suggestions of experts in the project service field;
and the business weight baseline determining unit is used for obtaining the business weight baseline by combining historical successful project experience and the suggestion of experts in the project business field.
8. The multi-level, multi-element, serial authentication system for a smart education cloud platform of claim 7 wherein the second determination module comprises:
the platform function list acquisition unit is used for analyzing and evaluating the relevance, importance and risk contents of each function node of the platform according to the function weight baseline, and determining the priority and weight of each function node and the relevance among the function nodes to generate the platform function list;
and the platform service list acquisition unit is used for generating the platform service list according to the service weight baseline and the combination of the priority, the relevance, the importance and the service risk content of each service node of the platform and the function of the functional node corresponding to the service node.
9. The system of claim 8, wherein the obtaining module comprises:
the service node determining unit is used for determining service nodes corresponding to nodes in the platform authentication milestone node list and the platform evidence obtaining milestone node list from the platform service list according to service weight, priority and relevance elements;
and the node acquisition unit is used for selecting corresponding functional nodes from corresponding service nodes from the platform service list to generate a platform authentication milestone node list and a platform evidence obtaining milestone node list.
10. The multi-level, multi-element, serial authentication system for a smart education cloud platform of claim 6 wherein the third determination module comprises:
the authentication mode analysis list acquisition unit is used for analyzing the authentication advantages and the authentication defects of various authentication modes to acquire an authentication mode analysis list;
and the authentication evidence-obtaining fusion list obtaining unit is used for determining the authentication mode of the authentication milestone node and the evidence-obtaining mode of the evidence-obtaining milestone node according to the authentication mode analysis list, the platform authentication milestone node list and the platform evidence-obtaining milestone node list, and generating the authentication evidence-obtaining fusion list.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102314500A (en) * | 2011-08-30 | 2012-01-11 | 侯圣勇 | Platform for implementing idea application from idea and method thereof |
| CN102573014A (en) * | 2010-12-27 | 2012-07-11 | 中兴通讯股份有限公司 | Method and equipment for transmitting data messages to subscribers using a variety of access modes |
| CN103888418A (en) * | 2012-12-21 | 2014-06-25 | 中国电信股份有限公司 | Strategy authentication method and system |
| CN107172008A (en) * | 2017-04-01 | 2017-09-15 | 北京芯盾时代科技有限公司 | A kind of system and method for carrying out multisystem certification and synchronization in a mobile device |
| CN107395622A (en) * | 2017-08-18 | 2017-11-24 | 四川长虹电器股份有限公司 | Method without cipher safety authentication |
| CN109086582A (en) * | 2018-06-15 | 2018-12-25 | 努比亚技术有限公司 | A kind of fingerprint verification method, terminal and computer readable storage medium |
| CN109450959A (en) * | 2019-01-08 | 2019-03-08 | 四川九洲电器集团有限责任公司 | A kind of multiple-factor identity identifying method based on threat level |
| CN110197256A (en) * | 2019-04-30 | 2019-09-03 | 济南大学 | A kind of Professional Certification weight optimization method and system based on neural network |
-
2020
- 2020-04-27 CN CN202010341369.4A patent/CN111538982B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102573014A (en) * | 2010-12-27 | 2012-07-11 | 中兴通讯股份有限公司 | Method and equipment for transmitting data messages to subscribers using a variety of access modes |
| CN102314500A (en) * | 2011-08-30 | 2012-01-11 | 侯圣勇 | Platform for implementing idea application from idea and method thereof |
| CN103888418A (en) * | 2012-12-21 | 2014-06-25 | 中国电信股份有限公司 | Strategy authentication method and system |
| CN107172008A (en) * | 2017-04-01 | 2017-09-15 | 北京芯盾时代科技有限公司 | A kind of system and method for carrying out multisystem certification and synchronization in a mobile device |
| CN107395622A (en) * | 2017-08-18 | 2017-11-24 | 四川长虹电器股份有限公司 | Method without cipher safety authentication |
| CN109086582A (en) * | 2018-06-15 | 2018-12-25 | 努比亚技术有限公司 | A kind of fingerprint verification method, terminal and computer readable storage medium |
| CN109450959A (en) * | 2019-01-08 | 2019-03-08 | 四川九洲电器集团有限责任公司 | A kind of multiple-factor identity identifying method based on threat level |
| CN110197256A (en) * | 2019-04-30 | 2019-09-03 | 济南大学 | A kind of Professional Certification weight optimization method and system based on neural network |
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