CN111445212B - Enterprise talent information management system based on big data - Google Patents

Enterprise talent information management system based on big data Download PDF

Info

Publication number
CN111445212B
CN111445212B CN202010238407.3A CN202010238407A CN111445212B CN 111445212 B CN111445212 B CN 111445212B CN 202010238407 A CN202010238407 A CN 202010238407A CN 111445212 B CN111445212 B CN 111445212B
Authority
CN
China
Prior art keywords
talent
information
unit
enterprise
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010238407.3A
Other languages
Chinese (zh)
Other versions
CN111445212A (en
Inventor
刘燕玲
何军
崔媛
曾维平
周德锋
邓向荣
邹瑞睿
黄银秀
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changsha Qianzhiran Intellectual Property Operation Co ltd
Shanghai Micang Information Technology Co.,Ltd.
Original Assignee
Hunan Nonferrous Metals Vocational and Technical College
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hunan Nonferrous Metals Vocational and Technical College filed Critical Hunan Nonferrous Metals Vocational and Technical College
Priority to CN202010238407.3A priority Critical patent/CN111445212B/en
Publication of CN111445212A publication Critical patent/CN111445212A/en
Application granted granted Critical
Publication of CN111445212B publication Critical patent/CN111445212B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/105—Human resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

The invention discloses an enterprise talent information management system based on big data, which comprises an enterprise internal talent management module and an enterprise external talent management module; the enterprise external talent management module comprises an external database, a collection unit, a classification unit, a retrieval unit, a comparison unit and a recording unit, wherein the collection unit is used for collecting external talent information data in the external database. According to the invention, the information confidentiality unit is arranged, the talent information in an enterprise can be kept confidential, the safety of the information management system is improved, the talent information data can be automatically updated through the arranged talent information updating unit, the efficiency of updating the talent information data can be improved, the talent information in the enterprise can be tracked and matched through the arranged talent information tracking unit, whether the information provided by a talent is in accordance with the fact can be checked, and a user can be verified through the arranged login verification unit, so that the condition that an outsider enters the talent information management system randomly is avoided.

Description

Enterprise talent information management system based on big data
Technical Field
The invention relates to the technical field of information management systems, in particular to an enterprise talent information management system based on big data.
Background
Patent document (CN106127371A) discloses a big data-based overseas talent information management system and method, the big data-based overseas talent information management system comprising: the system comprises a overseas talent data collection module and an overseas talent introduction module, wherein the overseas talent data collection module is used for constructing an overseas talent big data basic platform by collecting, cleaning, classifying, matching and storing and integrating relevant data of overseas talents in the whole life cycle of overseas talent management; the overseas talent introduction module is used for constructing matching and butt-joint relations between the overseas talents and the personnel units based on the overseas talent big data basic platform. According to the big data-based overseas talent information management system disclosed by the embodiment of the invention, scientific, normative and quantitative analysis on the work of overseas talent introduction can be realized, and the efficiency of overseas talent introduction is improved; however, the talent management system cannot keep the information of the talents secret, cannot automatically update the information of the talents, cannot track and match the information of the talents, and has errors for verifying the authenticity of the information provided by the talents.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to provide an enterprise talent information management system based on big data, the information security unit is arranged to keep secret of talent information in an enterprise, the safety of the information management system is improved, the talent information data can be automatically updated through the arranged talent updating unit, the efficiency of updating the talent information data can be improved, the talent information in the enterprise can be tracked and matched through the arranged talent information tracking unit, whether the information provided by a talent is in fact consistent or not can be checked, and the login verification unit is arranged to verify a user and prevent outsiders from randomly entering the talent information management system.
The purpose of the invention can be realized by the following technical scheme:
the enterprise talent information management system based on big data comprises an enterprise internal talent management module and an enterprise external talent management module;
the enterprise external talent management module comprises an external database, an acquisition unit, a classification unit, a retrieval unit, a comparison unit and a recording unit, wherein the acquisition unit is used for acquiring external talent information data in the external database, the classification unit is used for classifying the external talent information data acquired by the acquisition unit into campus talent information data and social talent information data, the retrieval unit is used for a user to retrieve the campus talent information data or the social talent information data classified by the classification unit, the comparison unit is used for the user to compare the campus talent information data or the social talent information data retrieved by the retrieval unit, and the recording unit is used for recording the campus talent information data or the social talent information data into the system;
the enterprise talent management module comprises a management unit, a login verification unit, a local database and a storage unit, wherein the management unit is used for managing talent information inside an enterprise by a user, the login verification unit is used for verifying the user entering the system, the local database is used for storing data information of talents inside the enterprise, the storage unit is used for storing data of talent information outside the enterprise into the local database of the enterprise talent management module, the management unit comprises a talent information updating unit, a talent information inputting unit, a talent information tracking unit, a talent information evaluating unit, a reward and punishment recording unit, a talent demand unit, a talent information deleting unit and an information confidentiality unit, the talent information updating unit is used for data information of talents inside the enterprise, and the talent information inputting unit is used for inputting data information of talents inside the enterprise by the user, the talent information tracking unit is used for a user to check and track past data information of talents in an enterprise, the talent information evaluation unit is used for the user to evaluate the data information of the talents in the enterprise, the reward and punishment recording unit is used for recording reward and punishment events of the talents in the enterprise, the talent demand unit is used for registering the talent information of demands in the system, the talent information deleting unit is used for the user to delete the data information of the talents in the enterprise, and the information confidentiality unit is used for protecting the data information of the talents in the enterprise.
Further, the method comprises the following steps: the specific method of the talent information updating unit comprises the following steps:
the method comprises the following steps: specifying one talent information code per updatev, one talent information data is F, and all original data blocks thereof are
Figure BDA0002431772100000031
The original data block of the same file into which the talent information is encoded is
Figure BDA0002431772100000032
Figure BDA0002431772100000033
Representing the difference between the 2 versions of the ith block, i.e.
Figure BDA0002431772100000034
Thereby, it is possible to obtain:
Figure BDA0002431772100000035
step two: since the coding blocks stored on each storage node are linear combinations of the original blocks, the updating of the stored coding blocks is completed according to the above formula without transmitting complete updating information.
Further, the method comprises the following steps: the specific verification method of the login verification unit comprises the following steps:
the method comprises the following steps: the method comprises the steps that an enterprise internal talent management module constructs a digital library, wherein the digital library is {0, 1, 2, 3, 4, 5, 6, 7, 8 and 9}, n numbers are randomly selected from the digital library and are randomly arranged, Q is { Q1, Q2, …, qi, … and qn }, and qi represents the ith number randomly selected from the digital library;
step two: the method comprises the steps that an enterprise internal talent management module randomly generates a group of insertion symbols, each insertion symbol is in one-to-one correspondence with a random number q and is marked as V (V1, V2, …, vi, … and vn), wherein vi represents the insertion symbol with an insertion position qi corresponding to the ith insertion symbol, each insertion symbol is composed of three types of alternative insertion symbols, and the three types are respectively in lowercase English, special symbols and numbers;
step three: random verification codes distributed by the talent management module in the enterprise; note C { (q1, v1), (q2, v2), …, (qi, vi), …, (qn, vn) }; and after the random verification code is obtained, the obtained random verification code is sent to a mobile phone of the user by the talent management module in the enterprise.
Further, the method comprises the following steps: the specific security method of the information security unit comprises the following steps:
the method comprises the following steps: an elliptic function is adopted to construct a file digitalized secret storage information transmission model, the code vector in the neighborhood is adjusted, and the corresponding mu value is recorded as mu after the Nth piecewise linear shift0Code element random number distribution
Figure BDA0002431772100000041
Calculating the route output characteristic quantity rk of the link layer keyijThe key stream generated by obtaining the file digitalized secret storage information is as follows:
Figure BDA0002431772100000042
wherein
Figure BDA0002431772100000043
Representing initial values of digitally-secret stored information of talent information, in beta1β2…βnThe code book for obtaining the encrypted code book of the digitalized secret storage information of the talent is s ═ s as a seed key for the separation and encryption of the digitalized secret storage information of the talenti,i＝1,…,M|siSetting an encryption protocol for the digitalized secret storage information code of the talent information;
step two: the statistic z of the transmission bit sequence encrypted by the talent information digitalized secret storage information obtained by adopting a random vector quantization coding method meets the requirement,
Figure BDA0002431772100000044
wherein r represents the encryption coefficient of the digitalized secret storage information of the talent information, urControl value, sigma, representing a digitally secured storage format for talent informationrThe method is characterized in that the encrypted value of the format of the digitalized secret storage of the talent information is represented, and the digitalized secret storage of the talent information is carried out by adopting a piecewise linear encryption method for forming a secret key by n different characters in a plaintext sequence.
Further, the method comprises the following steps: the specific method of the talent information tracking unit is as follows:
the method comprises the following steps: tracking talent information in different enterprises by adopting a block region threshold value mode, wherein i is a talent information coding number in the ith block region, and the topological position of the i is gammaiAnd the topological position of the block region talent information code number of the data transmission in the block region and the adjacent block region is gammaijThen, according to the data distribution characteristics of the block area, it can be obtained:
Figure BDA0002431772100000045
the topological position relation between the data information in a certain block area and the talent information code number of the talent information in the enterprise can be accurately obtained through the formula;
step two: for the determined enterprise talent information, in the process of talent data information matching, the matching degree between the determined enterprise talent information and a certain area is determined, i is set as a certain talent information code number, and the number of talent information code numbers which are subjected to data exchange with the certain talent information code number is lambdaiThen λiSatisfy the following relationship
Figure BDA0002431772100000046
Where v is the set of code numbers j adjacent to i, the greater the number of code numbers adjacent to i, the greater the λiThe greater the weight of the tracked talent information is, the greater the matching degree of the tracked talent information is determined.
Further, the method comprises the following steps: the use method of the enterprise talent information management system comprises the following steps:
the method comprises the following steps: acquiring talent information in an external database through an acquisition module in an enterprise external talent information management module, classifying external talent information data into campus talent information data and social talent information data through a classification unit, logging in the management system by a user through a logging unit to acquire verification qualification, retrieving the campus talent information data or the social talent information data classified by the classification unit through a retrieval unit after entering the system, comparing the retrieved result with talent information through a comparison unit, selecting a talent required by the user, judging whether the talent enters an enterprise through a logging unit, and storing the talent information data into a local database through a storage unit if the talent enters the enterprise;
step two: other users log in the authentication unit and the management module of the internal talent information of the enterprise of the management system, manage the inside talent information of enterprise through the administrative unit, talent information updating unit is used for the data information of the inside talent of enterprise, talent information input unit is used for the data information that the user types the inside talent of enterprise, talent information tracking unit is used for the user to look over the past data information who tracks the inside talent of enterprise, talent information evaluation unit is used for the user to evaluate the data information of the inside talent of enterprise, punishment record unit is used for the user to record the event of awarding and punishment of the inside talent of enterprise, talent demand unit is used for the talent information of user's registration demand in the inside of system, talent information deletion unit is used for the data information that the user deleted the inside talent of enterprise, information secrecy unit is used for protecting the data information of the inside talent of.
The invention has the beneficial effects that:
1. the information security unit can be used for security of talent information in an enterprise, the security of an information management system is improved, an elliptic function is adopted to construct a file digital security storage information transmission model, the code vector in the neighborhood is adjusted, and the corresponding mu value after the Nth piecewise linear shift is recorded as mu0Code element random number distribution
Figure BDA0002431772100000051
Calculating the route output characteristic quantity rk of the link layer keyijThe key stream generated by obtaining the file digitalized secret storage information is as follows:
Figure BDA0002431772100000052
wherein
Figure BDA0002431772100000053
Representing initial values of digitally-secret stored information of talent information, in beta1β2…βnThe seed key is used as the seed key for isolating and encrypting the digitalized secret storage information of the talent information to obtain the digitalized secret of the talent informationThe code book for encrypting the secret storage information is that s is { s ═ si,i＝1,…,M|siSetting an encryption protocol for the digitalized secret storage information code of the talent information;
2. through the talent information updating unit, talent information data can be automatically updated, the efficiency of updating the talent information data can be improved, one talent information code v is designated for each updating, one talent information data is F, and the talent information updating method and the system can automatically update the talent information data and improve the efficiency of updating the talent information data
Figure BDA0002431772100000061
The talent information in the enterprise is updated, the coding blocks stored on each storage node are linear combinations of the original blocks, updating of the storage coding blocks is completed according to the formula, complete updating information does not need to be transmitted, tracking matching can be performed on the talent information in the enterprise through the set talent information tracking unit, whether the fact of the information provided by the talents accords can be checked, the user can be verified through the set login verification unit, and the situation that an outsider randomly enters the talent information management system is avoided.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of a big data based enterprise talent information management system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the big data-based system for managing talent information of an enterprise includes a talent management module inside the enterprise and a talent management module outside the enterprise;
the enterprise external talent management module comprises an external database, an acquisition unit, a classification unit, a retrieval unit, a comparison unit and a recording unit, wherein the acquisition unit is used for acquiring external talent information data in the external database, the classification unit is used for classifying the external talent information data acquired by the acquisition unit into campus talent information data and social talent information data, the retrieval unit is used for a user to retrieve the campus talent information data or the social talent information data classified by the classification unit, the comparison unit is used for the user to compare the campus talent information data or the social talent information data retrieved by the retrieval unit, and the recording unit is used for recording the campus talent information data or the social talent information data into the system;
the enterprise talent management module comprises a management unit, a login verification unit, a local database and a storage unit, wherein the management unit is used for managing talent information inside an enterprise by a user, the login verification unit is used for verifying the user entering the system, the local database is used for storing data information of talents inside the enterprise, the storage unit is used for storing data of talent information outside the enterprise into the local database of the enterprise talent management module, the management unit comprises a talent information updating unit, a talent information inputting unit, a talent information tracking unit, a talent information evaluating unit, a reward and punishment recording unit, a talent demand unit, a talent information deleting unit and an information confidentiality unit, the talent information updating unit is used for data information of talents inside the enterprise, and the talent information inputting unit is used for inputting data information of talents inside the enterprise by the user, the talent information tracking unit is used for a user to check and track past data information of talents in an enterprise, the talent information evaluation unit is used for the user to evaluate the data information of the talents in the enterprise, the reward and punishment recording unit is used for recording reward and punishment events of the talents in the enterprise, the talent demand unit is used for registering the talent information of demands in the system, the talent information deleting unit is used for the user to delete the data information of the talents in the enterprise, and the information confidentiality unit is used for protecting the data information of the talents in the enterprise.
The specific method of the talent information updating unit comprises the following steps:
the method comprises the following steps: each time updating is carried out, one talent information code v is appointed, one talent information data is F, and all original data blocks are
Figure BDA0002431772100000071
The original data block of the same file into which the talent information is encoded is
Figure BDA0002431772100000072
Figure BDA0002431772100000073
Representing the difference between the 2 versions of the ith block, i.e.
Figure BDA0002431772100000074
Thereby, it is possible to obtain:
Figure BDA0002431772100000075
step two: since the coding blocks stored on each storage node are linear combinations of the original blocks, the updating of the stored coding blocks is completed according to the above formula without transmitting complete updating information.
The specific verification method of the login verification unit comprises the following steps:
the method comprises the following steps: the method comprises the steps that an enterprise internal talent management module constructs a digital library, wherein the digital library is {0, 1, 2, 3, 4, 5, 6, 7, 8 and 9}, n numbers are randomly selected from the digital library and are randomly arranged, Q is { Q1, Q2, …, qi, … and qn }, and qi represents the ith number randomly selected from the digital library;
step two: the method comprises the steps that an enterprise internal talent management module randomly generates a group of insertion symbols, each insertion symbol is in one-to-one correspondence with a random number q and is marked as V (V1, V2, …, vi, … and vn), wherein vi represents the insertion symbol with an insertion position qi corresponding to the ith insertion symbol, each insertion symbol is composed of three types of alternative insertion symbols, and the three types are respectively in lowercase English, special symbols and numbers;
step three: random verification codes distributed by the talent management module in the enterprise; note C { (q1, v1), (q2, v2), …, (qi, vi), …, (qn, vn) }; and after the random verification code is obtained, the obtained random verification code is sent to a mobile phone of the user by the talent management module in the enterprise.
The specific security method of the information security unit comprises the following steps:
the method comprises the following steps: an elliptic function is adopted to construct a file digitalized secret storage information transmission model, the code vector in the neighborhood is adjusted, and the corresponding mu value is recorded as mu after the Nth piecewise linear shift0Code element random number distribution
Figure BDA0002431772100000081
Calculating the route output characteristic quantity rk of the link layer keyijThe key stream generated by obtaining the file digitalized secret storage information is as follows:
Figure BDA0002431772100000082
wherein
Figure BDA0002431772100000083
Representing initial values of digitally-secret stored information of talent information, in beta1β2…βnThe code book for obtaining the encrypted code book of the digitalized secret storage information of the talent is s ═ s as a seed key for the separation and encryption of the digitalized secret storage information of the talenti,i＝1,…,M|siSetting an encryption protocol for the digitalized secret storage information code of the talent information;
step two: the statistic z of the transmission bit sequence encrypted by the talent information digitalized secret storage information obtained by adopting a random vector quantization coding method meets the requirement,
Figure BDA0002431772100000084
wherein r represents the encryption coefficient of the digitalized secret storage information of the talent information, urControl value, sigma, representing a digitally secured storage format for talent informationrThe method is characterized in that the encrypted value of the format of the digitalized secret storage of the talent information is represented, and the digitalized secret storage of the talent information is carried out by adopting a piecewise linear encryption method for forming a secret key by n different characters in a plaintext sequence.
The specific method of the talent information tracking unit is as follows:
the method comprises the following steps: tracking talent information in different enterprises by adopting a block region threshold value mode, wherein i is a talent information coding number in the ith block region, and the topological position of the i is gammaiAnd the topological position of the block region talent information code number of the data transmission in the block region and the adjacent block region is gammaijThen, according to the data distribution characteristics of the block area, it can be obtained:
Figure BDA0002431772100000091
the topological position relation between the data information in a certain block area and the talent information code number of the talent information in the enterprise can be accurately obtained through the formula;
step two: for the determined enterprise talent information, in the process of talent data information matching, the matching degree between the determined enterprise talent information and a certain area is determined, i is set as a certain talent information code number, and the number of talent information code numbers which are subjected to data exchange with the certain talent information code number is lambdaiThen λiSatisfy the following relationship
Figure BDA0002431772100000092
Where v is the set of code numbers j adjacent to i, the greater the number of code numbers adjacent to i, the greater the λiThe greater the weight of the tracked talent information is, the greater the matching degree of the tracked talent information is determined.
The use method of the enterprise talent information management system comprises the following steps:
the method comprises the following steps: acquiring talent information in an external database through an acquisition module in an enterprise external talent information management module, classifying external talent information data into campus talent information data and social talent information data through a classification unit, logging in the management system by a user through a logging unit to acquire verification qualification, retrieving the campus talent information data or the social talent information data classified by the classification unit through a retrieval unit after entering the system, comparing the retrieved result with talent information through a comparison unit, selecting a talent required by the user, judging whether the talent enters an enterprise through a logging unit, and storing the talent information data into a local database through a storage unit if the talent enters the enterprise;
step two: other users log in the authentication unit and the management module of the internal talent information of the enterprise of the management system, manage the inside talent information of enterprise through the administrative unit, talent information updating unit is used for the data information of the inside talent of enterprise, talent information input unit is used for the data information that the user types the inside talent of enterprise, talent information tracking unit is used for the user to look over the past data information who tracks the inside talent of enterprise, talent information evaluation unit is used for the user to evaluate the data information of the inside talent of enterprise, punishment record unit is used for the user to record the event of awarding and punishment of the inside talent of enterprise, talent demand unit is used for the talent information of user's registration demand in the inside of system, talent information deletion unit is used for the data information that the user deleted the inside talent of enterprise, information secrecy unit is used for protecting the data information of the inside talent of.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is illustrative and explanatory only and is not intended to be exhaustive or to limit the invention to the precise embodiments described, and various modifications, additions, and substitutions may be made by those skilled in the art without departing from the scope of the invention or exceeding the scope of the claims.

Claims (3)

1. The enterprise talent information management system based on big data is characterized by comprising an enterprise internal talent management module and an enterprise external talent management module;
the enterprise external talent management module comprises an external database, an acquisition unit, a classification unit, a retrieval unit, a comparison unit and a recording unit, wherein the acquisition unit is used for acquiring external talent information data in the external database, the classification unit is used for classifying the external talent information data acquired by the acquisition unit, the classification unit is used for dividing the external talent information data into campus talent information data and social talent information data, the retrieval unit is used for a user to retrieve the campus talent information data or the social talent information data classified by the classification unit, the comparison unit is used for the user to compare the campus talent information data or the social talent information data retrieved by the retrieval unit, and the recording unit is used for recording the campus talent information data or the social talent information data into the system;
the enterprise talent management module comprises a management unit, a login verification unit, a local database and a storage unit, wherein the management unit is used for managing talent information inside an enterprise by a user, the login verification unit is used for verifying the user entering the system, the local database is used for storing data information of talents inside the enterprise, the storage unit is used for storing data of talent information outside the enterprise into the local database of the enterprise talent management module, the management unit comprises a talent information updating unit, a talent information inputting unit, a talent information tracking unit, a talent information evaluating unit, a reward and punishment recording unit, a talent demand unit, a talent information deleting unit and an information confidentiality unit, the talent information updating unit is used for data information of talents inside the enterprise, and the talent information inputting unit is used for inputting data information of talents inside the enterprise by the user, the talent information tracking unit is used for a user to check and track past data information of talents in an enterprise, the talent information evaluation unit is used for the user to evaluate the data information of the talents in the enterprise, the reward and punishment recording unit is used for the user to record reward and punishment events of the talents in the enterprise, the talent demand unit is used for the user to register required talent information in the system, the talent information deleting unit is used for the user to delete the data information of the talents in the enterprise, and the information confidentiality unit is used for protecting the data information of the talents in the enterprise;
the specific security method of the information security unit comprises the following steps:
the method comprises the following steps: an elliptic function is adopted to construct a file digitalized secret storage information transmission model, the code vector in the neighborhood is adjusted, and the corresponding mu value is recorded as mu after the Nth piecewise linear shift0Code element random number distribution
Figure FDA0002896011150000021
Calculating the route output characteristic quantity rk of the link layer keyijThe key stream generated by obtaining the file digitalized secret storage information is as follows:
Figure FDA0002896011150000022
wherein
Figure FDA0002896011150000023
Representing initial values of digitally-secret stored information of talent information, in beta1β2…βnThe code book for obtaining the encrypted code book of the digitalized secret storage information of the talent is s ═ s as a seed key for the separation and encryption of the digitalized secret storage information of the talenti,i＝1,…,M|siSetting an encryption protocol for the digitalized secret storage information code of the talent information;
step two: the statistic z of the transmission bit sequence encrypted by the talent information digitalized secret storage information obtained by adopting a random vector quantization coding method meets the requirement,
Figure FDA0002896011150000024
wherein r represents the encryption coefficient of the digitalized secret storage information of the talent information, urControl value, sigma, representing a digitally secured storage format for talent informationrRepresenting the encrypted value of the talent information digitalized secret storage format, and carrying out digitalized secret storage on the talent information by adopting a piecewise linear encryption method for forming a secret key by n different characters in a plaintext sequence;
the specific method of the talent information updating unit comprises the following steps:
the method comprises the following steps: each time updating is carried out, one talent information code v is appointed, one talent information data is F, and all original data blocks are
Figure FDA0002896011150000025
The original data block of the same file for encoding the talent information is
Figure FDA0002896011150000026
Figure FDA0002896011150000027
Representing the difference between the 2 versions of the ith block, i.e.
Figure FDA0002896011150000028
Thereby, it is possible to obtain:
Figure FDA0002896011150000029
step two: the coding blocks stored on each storage node are linear combinations of the original blocks, so that the updating of the storage coding blocks is completed according to the formula without transmitting complete updating information;
the specific method of the talent information tracking unit is as follows:
the method comprises the following steps: tracking talent information in different enterprises by adopting a block region threshold value mode, wherein i is a talent information coding number in the ith block region, and the topological position of the i is gammaiAnd the topological position of the block region talent information code number of the data transmission in the block region and the adjacent block region is gammaijThen, according to the data distribution characteristics of the block area, it can be obtained:
Figure FDA0002896011150000031
the topological position relation between the data information in a certain block area and the talent information code number of the talent information in the enterprise can be accurately obtained through the formula;
step two: for sureDetermining the matching degree between the determined enterprise talent information and a certain region in the process of talent data information matching, setting i as a certain talent information code number, and setting the number of talent information code numbers which perform data exchange with the certain talent information code number as lambdaiThen λiSatisfy the following relationship
Figure FDA0002896011150000032
Where v is the set of code numbers j adjacent to i, the greater the number of code numbers adjacent to i, the greater the λiThe greater the weight of the tracked talent information is, the greater the matching degree of the tracked talent information is determined.
2. The big-data-based enterprise talent information management system according to claim 1, wherein the login authentication unit specifically authenticates that:
the method comprises the following steps: the method comprises the steps that an enterprise internal talent management module constructs a digital library, wherein the digital library is {0, 1, 2, 3, 4, 5, 6, 7, 8 and 9}, n numbers are randomly selected from the digital library and are randomly arranged, Q is { Q1, Q2, …, qi, … and qn }, and qi represents the ith number randomly selected from the digital library;
step two: the method comprises the steps that an enterprise internal talent management module randomly generates a group of insertion symbols, each insertion symbol is in one-to-one correspondence with a random number q and is marked as V (V1, V2, …, vi, … and vn), wherein vi represents the insertion symbol with an insertion position qi corresponding to the ith insertion symbol, each insertion symbol is composed of three types of alternative insertion symbols, and the three types are respectively in lowercase English, special symbols and numbers;
step three: random verification codes distributed by the talent management module in the enterprise; note C { (q1, v1), (q2, v2), …, (qi, vi), …, (qn, vn) }; after the random verification code is obtained, the random verification code is sent to a mobile phone of the user by an enterprise internal talent management module;
3. the big data-based talent information management system of an enterprise according to claim 1, wherein the talent information management system of the enterprise is used by the method comprising:
the method comprises the following steps: acquiring talent information in an external database through an acquisition module in an enterprise external talent information management module, classifying external talent information data into campus talent information data and social talent information data through a classification unit, logging in the management system by a user through a logging unit to acquire verification qualification, retrieving the campus talent information data or the social talent information data classified by the classification unit through a retrieval unit after entering the system, comparing the retrieved result with talent information through a comparison unit, selecting a talent required by the user, judging whether the talent enters an enterprise through a logging unit, and storing the talent information data into a local database through a storage unit if the talent enters the enterprise;
step two: other users log in the authentication unit and the management module of the internal talent information of the enterprise of the management system, manage the inside talent information of enterprise through the administrative unit, talent information updating unit is used for the data information of the inside talent of enterprise, talent information input unit is used for the data information that the user types the inside talent of enterprise, talent information tracking unit is used for the user to look over the past data information who tracks the inside talent of enterprise, talent information evaluation unit is used for the user to evaluate the data information of the inside talent of enterprise, punishment record unit is used for the user to record the event of awarding and punishment of the inside talent of enterprise, talent demand unit is used for the talent information of user's registration demand in the inside of system, talent information deletion unit is used for the data information that the user deleted the inside talent of enterprise, information secrecy unit is used for protecting the data information of the inside talent of.
CN202010238407.3A 2020-03-30 2020-03-30 Enterprise talent information management system based on big data Active CN111445212B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010238407.3A CN111445212B (en) 2020-03-30 2020-03-30 Enterprise talent information management system based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010238407.3A CN111445212B (en) 2020-03-30 2020-03-30 Enterprise talent information management system based on big data

Publications (2)

Publication Number Publication Date
CN111445212A CN111445212A (en) 2020-07-24
CN111445212B true CN111445212B (en) 2021-03-02

Family

ID=71649320

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010238407.3A Active CN111445212B (en) 2020-03-30 2020-03-30 Enterprise talent information management system based on big data

Country Status (1)

Country Link
CN (1) CN111445212B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112381525B (en) * 2020-11-26 2021-07-16 贵州非你莫属人才大数据有限公司 Talent database analysis system and method based on big data
CN112819384A (en) * 2021-02-23 2021-05-18 吉林省地方病第一防治研究所 Internet platform-based data plague talent management analysis system
CN113592445A (en) * 2021-07-27 2021-11-02 李园园 Talent management system based on big data
CN117114514B (en) * 2023-10-24 2024-01-02 中电科大数据研究院有限公司 Talent information analysis management method, system and device based on big data

Also Published As

Publication number Publication date
CN111445212A (en) 2020-07-24

Similar Documents

Publication Publication Date Title
CN111445212B (en) Enterprise talent information management system based on big data
CN104376237B (en) A kind of method of controlling security and system for being directed to information in production process
CN102948117B (en) Information tracking system and method
CN105164971A (en) Verification system and method with extra security for lower-entropy input records
CN107301350B (en) Data processing method and system
CN114372296B (en) Block chain-based user behavior data auditing method and system
CN106685640B (en) Electronic evidence fixed information generation method and electronic evidence fixed server
CN113067871B (en) Digital file management method based on blockchain technology
CN116542637B (en) Government platform safety control method based on computer
CN112084529A (en) Privacy data encryption access method and system based on block chain technology for community
CN114547209B (en) Data sharing interaction method and system based on block chain
CN112804207B (en) Alliance chain node security admission method applied to electronic government affair scene
CN112540989B (en) Data right-determining and managing method based on data exchange log
Rexha et al. Improving authentication and transparency of e-Voting system–Kosovo case
Ardina et al. Design of A blockchain-based employee attendance system
CN116527692A (en) Contract file cloud synchronization method based on Internet
CN116861485A (en) Student information privacy protection method based on deep learning fusion
CN111708996B (en) Enterprise internal management consultation information sharing system based on Internet
CN113468588B (en) Identity management system based on block chain
Wang et al. Collection and judgment of electronic data evidence in criminal cases: From the perspective of investigation and evidence collection by public security organs
Yadav et al. Mobile Forensics challenges and admissibility of electronic evidences in India
CN114666063A (en) Traditional Hash algorithm-based digital asset tracing method
Antoni et al. Use of Blockchain for Designing Digital Documents in Public Services
CN113536354B (en) Data fusion method for protecting privacy security
CN116955273B (en) File management system based on cloud archive

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20221222

Address after: Room 2306, Building 2, Zone C, Kaifu Wanda Plaza, No. 589 Zhongshan Road, Tongtai Street, Kaifu District, Changsha, Hunan 410005

Patentee after: Changsha Qianzhiran Intellectual Property Operation Co.,Ltd.

Address before: No.88 Panlong Road, Yunlong demonstration zone, Zhuzhou City, Hunan Province, 412000

Patentee before: HUNAN NONFERROUS METALS VOCATIONAL AND TECHNICAL College

Effective date of registration: 20221222

Address after: 200441 A7 203, Floor 2, Building 13, No. 258, Changjiang Road, Baoshan District, Shanghai

Patentee after: Shanghai Micang Information Technology Co.,Ltd.

Address before: Room 2306, Building 2, Zone C, Kaifu Wanda Plaza, No. 589 Zhongshan Road, Tongtai Street, Kaifu District, Changsha, Hunan 410005

Patentee before: Changsha Qianzhiran Intellectual Property Operation Co.,Ltd.