CN106204405A - A kind of high security school bus information processing system - Google Patents
A kind of high security school bus information processing system Download PDFInfo
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- CN106204405A CN106204405A CN201610561427.8A CN201610561427A CN106204405A CN 106204405 A CN106204405 A CN 106204405A CN 201610561427 A CN201610561427 A CN 201610561427A CN 106204405 A CN106204405 A CN 106204405A
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- 230000010365 information processing Effects 0.000 title claims abstract description 73
- 238000011084 recovery Methods 0.000 claims abstract description 57
- 238000004891 communication Methods 0.000 claims abstract description 40
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Abstract
A kind of high security school bus information processing system, including Cloud Server, information processing centre, information acquisition unit, flash storage card, communication module, management platform, data store and recovery unit, monitor supervision platform, student card, driver card, teacher blocks, voice-control alarm device, described information processing centre, information acquisition unit, flash storage card, communication module and acoustic control alarm device are arranged in school bus, information acquisition unit link information processing center, information processing centre connects voice-control alarm device respectively, flash storage card and communication module, the information that flash storage card gathers for slow storage information acquisition unit, communication module connects Cloud Server, the information gathered by information acquisition unit is transmitted to Cloud Server, management platform, monitor supervision platform connects Cloud Server；Described data store and recovery unit is arranged between communication module and Cloud Server, and storage and recovery for school bus information data are taken out and provided multi-level encryption and decryption services.
Description
Technical field
The present invention relates to educational management field, be specifically related to a kind of high security school bus information processing system.
Background technology
In recent years, safety of school bus problem highlights all the more, and school bus generation severe and great casualty occurs again and again.Therefore, the most thoroughly
Eliminating the potential safety hazard of school bus, society becomes a problem in the urgent need to address to the demand of safety of school bus as early as possible.Solve school
Car safety problem has to take effective measure, is monitored school bus.School bus monitoring work is not only to enter school bus
The simple vehicle location of row, more mainly to run school bus and in school bus, the safety of student monitors in real time.Guarantee to learn
Life is got on the bus, is got off and school bus safety in travelling way, the head of a family have to be allowed can to grasp timely and accurately and monitor simultaneously
School bus operation information.But existing school bus monitoring means lack the most very much, this brings greatly to the work of school bus supervision department
Inconvenience.
Summary of the invention
For the problems referred to above, the present invention provides a kind of high security school bus information processing system.
The purpose of the present invention realizes by the following technical solutions:
A kind of high security school bus information processing system, including Cloud Server, information processing centre, information acquisition unit,
Flash storage card, communication module, management platform, data store and recovery unit, monitor supervision platform, student card, driver card, teacher
Card, voice-control alarm device, described information processing centre, information acquisition unit, flash storage card, communication module and voice-control alarm
Device is arranged in school bus, information acquisition unit link information processing center, and information processing centre connects voice-control alarm dress respectively
Put, flash storage card and communication module, the information that flash storage card gathers for slow storage information acquisition unit, communication module is even
Connecing Cloud Server, the information transmission gathered by information acquisition unit to Cloud Server, management platform, monitor supervision platform connect cloud service
Device, checks student and school bus situation by platform access Cloud Server；Described data store and are arranged on, with recovery unit, the mould that communicates
Between block and Cloud Server, storage and recovery for school bus information data are taken out and are provided multi-level encryption and decryption services；Described cloud
Server includes calculating Cloud Server and storing Cloud Server, and described calculating Cloud Server processes for data to provide to calculate and supports,
Described storage Cloud Server is used for storing related data.
Beneficial effect: the present invention devises a kind of reasonably school bus information processing system, it is possible to grasp timely and accurately and
Monitoring school bus operation information, reduces amount of calculation and the storage capacity of home server by arranging of Cloud Server.
Accompanying drawing explanation
The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain according to the following drawings
Other accompanying drawing.
Fig. 1 is the structured flowchart of a kind of high security school bus information processing system；
Fig. 2 is that data store and the structured flowchart of recovery unit.
Reference: information processing centre-1；Flsh memory card-2；Communication module-3；Cloud Server-4；Management platform-
5；Monitor supervision platform-6；Voice-control alarm device-7；Information acquisition unit-8；Data store and recovery unit-9；Data prediction mould
Block-21；Data memory module-22；Data recovery module-23；Data evaluation module-24；Data segmentation submodule-221；Data
Encryption submodule-222；Cloud storage submodule 223 classification matched sub-block-231；Mate fault-tolerant submodule-232.
Detailed description of the invention
The invention will be further described with the following Examples.
Application scenarios 1:
A kind of high security school bus information processing system as shown in Figure 1, including Cloud Server 4, information processing centre 1,
Information acquisition unit 8, flash storage card 3, communication module 2, management platform 5, data store and recovery unit 9, monitor supervision platform 6,
Student card, driver card, teacher's card, voice-control alarm device 7, described information processing centre 1, information acquisition unit 8, flash store
Card 3, communication module 2 and acoustic control alarm device 7 are arranged in school bus, information acquisition unit 8 link information processing center 1, information
Processing center 1 connects voice-control alarm device 7, flash storage card 3 and communication module 2 respectively, and flash storage card 3 is for slow storage letter
The information that breath collecting unit 8 gathers, communication module 2 connects Cloud Server 4, and the information gathered by information acquisition unit 8 is transmitted extremely
Cloud Server 4, management platform 5, monitor supervision platform 6 connect Cloud Server 4, check student and school by platform access Cloud Server 4
Car situation；Described data store and recovery unit 9 is arranged between communication module 2 and Cloud Server 4, for school bus information data
Store and recover to take out and multi-level encryption and decryption services are provided；Described Cloud Server includes calculating Cloud Server and storing cloud service
Device, described calculating Cloud Server processes for data to provide to calculate and supports, and described storage Cloud Server is used for storing related data.
The present invention devises a kind of reasonably school bus information processing system, it is possible to grasp and monitor school bus fortune timely and accurately
Row information, reduces amount of calculation and the storage capacity of home server by arranging of Cloud Server.
Preferably, described information acquisition unit 8 include for detecting whether drink Drunk-driving-prevendevice device, for positioning school bus
In the vehicle GPS that tests the speed with school bus, admission school bus student's situation video camera and for scanning student card, driver card and teacher's card
The scanning means of internal information.
Preferably, described student card, driver card and teacher's card are provided with storage chip and unique identification chip, scanning means
The information in storage chip can be scanned, the storage chip of student card stores student information and family's long message, depositing of driver card
Store driver information in storage chip, in the storage chip of teacher's card, store teacher's information.
Preferably, as in figure 2 it is shown, described data store and recovery unit includes that data preprocessing module 21, data store
Module 22, data recovery module 23 and data evaluation module 24:
(1) data preprocessing module 21, classify for the large-scale data coming described information processing centre, its tool
Body performs following operation: is classified data by K-means cluster, is that mesh is set up in entitled each classification with cluster centre
Record, repeats above categorizing process, data is finely divided, and forms the subclassification under classification, and forms the multistage catalogue of data.
(2) data memory module 22, including data segmentation submodule 221, data encryption submodule 222 and cloud storage submodule
Block 223:
A, data segmentation submodule 221, for the data of storage are split, its specifically following operation of execution:
When needs storage data r, first it is divided into length to be n part r of h data r1, r2..., rn, then exist
Finite field ZPMiddle by each riIt is divided into n sub-block r respectivelyi,1, ri,2…ri,n, wherein p ＞ 2h, then for jth sub-block ri,j=
ri·(ri,1·ri,2…·ri,j-1)-1Modp, wherein mod represents complementation operator；
By { ri,1·ri,2…·ri,n-1Be set as being initial piecemeal collection, it is mapped to set { p1,p2…pnBuild linear phase
Pass relation, represents system of linear equations with following formula:
ai1r1,1+ai2r1,2+…+ainr1,n=ci,1
ai1r2,1+ai2r2,2+…+ainr2,n=ci,2
……
ai1rn,1+ai2rn,2+…+ainrn,n=ci,n
Wherein aijIt is from finite field ZPIn arbitrarily choose, draw c by that analogy2,1,c2,2,…,c2,n,…,cn,1,
cn,2,…,cn,n, show its dependency relation by the form of matrix, order The most above-mentioned system of linear equations is expressed as A × R=C；
Matrix R is carried out as the following formula secondary be mixed to get new Matrix C ': A × R × A=C '.
B, data encryption submodule 222, for being encrypted to improve the safety of data to the data of storage, it is concrete
Operation below performing:
Call secret key generating function, according to each aijValue and user input security parameter λ value, export decryption key
To { KE, KD, and by cryptographic keys KEWith calculating Cloud Server HiShare, by decryption key KDIt is stored in information processing centre.
A is inputted to pseudo random sequence generator by calculating Cloud Serverij, generate and aijIdentify Tag one to oneij,
Call homomorphic encryption iunctions, input cryptographic keys and each a simultaneouslyijCorresponding data value Vij, generate ciphertext Zij, easily know
TagijAnd cijIt is n × n matrix, is designated as Tag and Z matrix respectively；As the following formula C ' is carried out mixed once encryption with Tag matrix
Obtain C ": Tag × C '=C "；Then as the following formula with Z matrix C " is carried out secondary Hybrid Encryption and obtains C " ': C " × Z=C " '；Appoint
Meaning randomly generates B Virtual vector, wherein B >=2n, arranges in C " ' by this Virtual vector randomly, obtains a N1×N2's
Matrix Q, wherein N1And N2Being all higher than n, described Virtual vector is used for covering up real n value, further enhances the safety of data
Property.In this embodiment, min (N1,N2The line number of) >=n+1, the matrix Q obtained or columns at least big than n value 1, be referred to as improving
1 safe class.
C, cloud storage submodule 223, store for the data after encryption are uploaded to store Cloud Server, will obtain
A, C, C ', C ", C " ', Q, Tag, Z, C " ' concrete random walk when obtaining matrix Q and described Virtual vector upload to
Store Cloud Server.
(3) data recovery module 23, will store recovery and the taking-up of data for the request according to user, and it includes classification
Matched sub-block 231 and mate fault-tolerant submodule 232, user referred herein includes validated user and disabled user:
A, classification matched sub-block 231, its specifically following operation of execution:
User sends request by human-computer exchange port to be needed to recover data r, from store Cloud Server recall matrix Q,
Random walk during generator matrix Q and Virtual vector, obtain Matrix C " ' after inversely rejecting Virtual vector according to this random walk1；
By C " '1Comparing with the C " ' recalled from storage Cloud Server, if do not mated, reporting an error, if coupling, enter
Next step；
By C " '1According to the reverse function write in advance and from storing the matrix Z and matrix recalled Cloud Server
Tag draw respectively C "1With C '1, and " and C ' compares, and either step does not mate and all reports an error, and enters next after the match is successful with C respectively
Step；
Recall matrix A, on the one hand according to the reversibility of matrix A according to R=A-1C‘A-1Obtain storing data r, on the other hand
By the A decryption function deciphering finished in advance, obtain decryption key KD', KD' with the decryption key being stored in information processing centre
KDCompare, if KD' with decryption key K being stored in information processing centreDMatch, then Cloud Server sends to user
Storage data r obtained, have thus recovered data r；
B, mate fault-tolerant submodule 232:
If KD' with KDCannot mate, report an error and data r obtained are preserved in the time t set, if
In time t, user matches secret key again, then directly data r are sent to user, otherwise lose this data r.
(4) data evaluation module 24, in the data categorizing process in data preprocessing module 21, data memory module 22
Data segmentation and ciphering process, data recovery module 23 in classification matching process exercise supervision and evaluate, change for follow-up
Enter to provide data support.
In this embodiment, (1) arranges data preprocessing module 21 and classifies large-scale data, it is possible to be effectively improved
Computational efficiency, reduces time cost；
(2) first data average mark is cut, more each sub-block is split, due in C the value of arbitrary element not only with in R
Jth shows pass, also with R in other show pass, relatedness is strong, and pseudo-random function and Homomorphic Encryption Scheme is organically tied
Being combined in matrix encryption, stealer goes for the complete information of data r, not only to crack secret key and random function,
And the value of each element in matrix must be obtained, full detail at ability recovery；
(3) being arranged into randomly in Matrix C " ' by the Virtual vector randomly generated, can effectively cover up real n value, this enters
One step improves the difficulty of decoding, and this is particularly important for the scheme dividing equally segmentation, min (N1,N2) >=n+1, obtains
The line number of matrix Q or columns at least big than n value 1, improve 1 safe class；
(4) recover each step in data procedures all to compare with the data stored, reduce serious forgiveness；One secondary data
After recovering unsuccessfully, loss recovery data out the most immediately, but take the mode kept in, the calculating reducing system is strong
Degree.
Application scenarios 2:
A kind of high security school bus information processing system as shown in Figure 1, including Cloud Server 4, information processing centre 1,
Information acquisition unit 8, flash storage card 3, communication module 2, management platform 5, data store and recovery unit 9, monitor supervision platform 6,
Student card, driver card, teacher's card, voice-control alarm device 7, described information processing centre 1, information acquisition unit 8, flash store
Card 3, communication module 2 and acoustic control alarm device 7 are arranged in school bus, information acquisition unit 8 link information processing center 1, information
Processing center 1 connects voice-control alarm device 7, flash storage card 3 and communication module 2 respectively, and flash storage card 3 is for slow storage letter
The information that breath collecting unit 8 gathers, communication module 2 connects Cloud Server 4, and the information gathered by information acquisition unit 8 is transmitted extremely
Cloud Server 4, management platform 5, monitor supervision platform 6 connect Cloud Server 4, check student and school by platform access Cloud Server 4
Car situation；Described data store and recovery unit 9 is arranged between communication module 2 and Cloud Server 4, for school bus information data
Store and recover to take out and multi-level encryption and decryption services are provided.Described Cloud Server includes calculating Cloud Server and storing cloud service
Device, described calculating Cloud Server processes for data to provide to calculate and supports, and described storage Cloud Server is used for storing related data.
The present invention devises a kind of reasonably school bus information processing system, it is possible to grasp and monitor school bus fortune timely and accurately
Row information, reduces amount of calculation and the storage capacity of home server by arranging of Cloud Server.
Preferably, described information acquisition unit 8 include for detecting whether drink Drunk-driving-prevendevice device, for positioning school bus
In the vehicle GPS that tests the speed with school bus, admission school bus student's situation video camera and for scanning student card, driver card and teacher's card
The scanning means of internal information.
Preferably, described student card, driver card and teacher's card are provided with storage chip and unique identification chip, scanning means
The information in storage chip can be scanned, the storage chip of student card stores student information and family's long message, depositing of driver card
Store driver information in storage chip, in the storage chip of teacher's card, store teacher's information.
Preferably, as in figure 2 it is shown, described data store and recovery unit includes that data preprocessing module 21, data store
Module 22, data recovery module 23 and data evaluation module 24:
(1) data preprocessing module 21, classify for the large-scale data coming described information processing centre, its tool
Body performs following operation: is classified data by K-means cluster, is that mesh is set up in entitled each classification with cluster centre
Record, repeats above categorizing process, data is finely divided, and forms the subclassification under classification, and forms the multistage catalogue of data.
(2) data memory module 22, including data segmentation submodule 221, data encryption submodule 222 and cloud storage submodule
Block 223:
A, data segmentation submodule 221, for the data of storage are split, its specifically following operation of execution:
When needs storage data r, first it is divided into length to be n part r of h data r1, r2..., rn, then exist
Finite field ZPMiddle by each riIt is divided into n sub-block r respectivelyi,1, ri,2…ri,n, wherein p ＞ 2h, then for jth sub-block ri,j=
ri·(ri,1.ri,2…·ri,j-1)-1Modp, wherein mod represents complementation operator；
By { ri,1·ri,2…·ri,n-1Be set as being initial piecemeal collection, it is mapped to set { p1,p2…pnBuild linear phase
Pass relation, represents system of linear equations with following formula:
ai1r1,1+ai2r1,2+…+ainr1,n=ci,1
ai1r2,1+ai2r2,2+…+ainr2,n=ci,2
……
ai1rn,1+ai2rn,2+…+ainrn,n=ci,n
Wherein aijIt is from finite field ZPIn arbitrarily choose, draw c by that analogy2,1,c2,2,…,c2,n,…,cn,1,
cn,2,…,cn,n, show its dependency relation by the form of matrix, order The most above-mentioned system of linear equations is expressed as A × R=C；
Matrix R is carried out as the following formula secondary be mixed to get new Matrix C ': A × R × A=C '.
B, data encryption submodule 222, for being encrypted to improve the safety of data to the data of storage, it is concrete
Operation below performing:
Call secret key generating function, according to each aijValue and user input security parameter λ value, export decryption key
To { KE, KD, and by cryptographic keys KEWith calculating Cloud Server HiShare, by decryption key KDIt is stored in information processing centre.
A is inputted to pseudo random sequence generator by calculating Cloud Serverij, generate and aijIdentify Tag one to oneij,
Call homomorphic encryption iunctions, input cryptographic keys and each a simultaneouslyijCorresponding data value Vij, generate ciphertext Zij, easily know
TagijAnd cijIt is n × n matrix, is designated as Tag and Z matrix respectively；As the following formula C ' is carried out mixed once encryption with Tag matrix
Obtain C ": Tag × C '=C "；Then as the following formula with Z matrix C " is carried out secondary Hybrid Encryption and obtains C " ': C " × Z=C " '；Appoint
Meaning randomly generates B Virtual vector, wherein B >=2n, arranges in C " ' by this Virtual vector randomly, obtains a N1×N2's
Matrix Q, wherein N1And N2Being all higher than n, described Virtual vector is used for covering up real n value, further enhances the safety of data
Property.In this embodiment, min (N1,N2The line number of) >=n+2, the matrix Q obtained or columns at least big than n value 2, be referred to as improving
2 safe classes.
C, cloud storage submodule 223, store for the data after encryption are uploaded to store Cloud Server, will obtain
A, C, C ', C ", C " ', Q, Tag, Z, C " ' concrete random walk when obtaining matrix Q and described Virtual vector upload to
Store Cloud Server.
(3) data recovery module 23, will store recovery and the taking-up of data for the request according to user, and it includes classification
Matched sub-block 231 and mate fault-tolerant submodule 232, user referred herein includes validated user and disabled user:
A, classification matched sub-block 231, its specifically following operation of execution:
User sends request by human-computer exchange port to be needed to recover data r, from store Cloud Server recall matrix Q,
Random walk during generator matrix Q and Virtual vector, obtain Matrix C " ' after inversely rejecting Virtual vector according to this random walk1；
By C " '1Comparing with the C " ' recalled from storage Cloud Server, if do not mated, reporting an error, if coupling, enter
Next step；
By C " '1According to the reverse function write in advance and from storing the matrix Z and matrix recalled Cloud Server
Tag draw respectively C "1With C '1, and " and C ' compares, and either step does not mate and all reports an error, and enters next after the match is successful with C respectively
Step；
Recall matrix A, on the one hand according to the reversibility of matrix A according to R=A-1C‘A-1Obtain storing data r, on the other hand
By the A decryption function deciphering finished in advance, obtain decryption key KD', KD' with the decryption key being stored in information processing centre
KDCompare, if KD' with decryption key K being stored in information processing centreDMatch, then Cloud Server sends to user
Storage data r obtained, have thus recovered data r；
B, mate fault-tolerant submodule 232:
If KD' with KDCannot mate, report an error and data r obtained are preserved in the time t set, if
In time t, user matches secret key again, then directly data r are sent to user, otherwise lose this data r.
(4) data evaluation module 24, in the data categorizing process in data preprocessing module 21, data memory module 22
Data segmentation and ciphering process, data recovery module 23 in classification matching process exercise supervision and evaluate, change for follow-up
Enter to provide data support.
In this embodiment, (1) arranges data preprocessing module 21 and classifies large-scale data, it is possible to be effectively improved
Computational efficiency, reduces time cost；
(2) first data average mark is cut, more each sub-block is split, due in C the value of arbitrary element not only with in R
Jth shows pass, also with R in other show pass, relatedness is strong, and pseudo-random function and Homomorphic Encryption Scheme is organically tied
Being combined in matrix encryption, stealer goes for the complete information of data r, not only to crack secret key and random function,
And the value of each element in matrix must be obtained, full detail at ability recovery；
(3) being arranged into randomly in Matrix C " ' by the Virtual vector randomly generated, can effectively cover up real n value, this enters
One step improves the difficulty of decoding, and this is particularly important for the scheme dividing equally segmentation, min (N1,N2) >=n+2, obtains
The line number of matrix Q or columns at least big than n value 2, improve 2 safe classes；
(4) recover each step in data procedures all to compare with the data stored, reduce serious forgiveness；One secondary data
After recovering unsuccessfully, loss recovery data out the most immediately, but take the mode kept in, the calculating reducing system is strong
Degree.
Application scenarios 3:
A kind of high security school bus information processing system as shown in Figure 1, including Cloud Server 4, information processing centre 1,
Information acquisition unit 8, flash storage card 3, communication module 2, management platform 5, data store and recovery unit 9, monitor supervision platform 6,
Student card, driver card, teacher's card, voice-control alarm device 7, described information processing centre 1, information acquisition unit 8, flash store
Card 3, communication module 2 and acoustic control alarm device 7 are arranged in school bus, information acquisition unit 8 link information processing center 1, information
Processing center 1 connects voice-control alarm device 7, flash storage card 3 and communication module 2 respectively, and flash storage card 3 is for slow storage letter
The information that breath collecting unit 8 gathers, communication module 2 connects Cloud Server 4, and the information gathered by information acquisition unit 8 is transmitted extremely
Cloud Server 4, management platform 5, monitor supervision platform 6 connect Cloud Server 4, check student and school by platform access Cloud Server 4
Car situation；Described data store and recovery unit 9 is arranged between communication module 2 and Cloud Server 4, for school bus information data
Store and recover to take out and multi-level encryption and decryption services are provided.Described Cloud Server includes calculating Cloud Server and storing cloud service
Device, described calculating Cloud Server processes for data to provide to calculate and supports, and described storage Cloud Server is used for storing related data.
Preferably, described information acquisition unit 8 include for detecting whether drink Drunk-driving-prevendevice device, for positioning school bus
In the vehicle GPS that tests the speed with school bus, admission school bus student's situation video camera and for scanning student card, driver card and teacher's card
The scanning means of internal information.
Preferably, described student card, driver card and teacher's card are provided with storage chip and unique identification chip, scanning means
The information in storage chip can be scanned, the storage chip of student card stores student information and family's long message, depositing of driver card
Store driver information in storage chip, in the storage chip of teacher's card, store teacher's information.
Preferably, as in figure 2 it is shown, described data store and recovery unit includes that data preprocessing module 21, data store
Module 22, data recovery module 23 and data evaluation module 24:
(1) data preprocessing module 21, classify for the large-scale data coming described information processing centre, its tool
Body performs following operation: is classified data by K-means cluster, is that mesh is set up in entitled each classification with cluster centre
Record, repeats above categorizing process, data is finely divided, and forms the subclassification under classification, and forms the multistage catalogue of data.
(2) data memory module 22, including data segmentation submodule 221, data encryption submodule 222 and cloud storage submodule
Block 223:
A, data segmentation submodule 221, for the data of storage are split, its specifically following operation of execution:
When needs storage data r, first it is divided into length to be n part r of h data r1, r2..., rn, then exist
Finite field ZPMiddle by each riIt is divided into n sub-block r respectivelyi,1, ri,2…ri,n, wherein p ＞ 2h, then for jth sub-block ri,j=
ri·(ri,1·ri,2…·ri,j-1)-1Modp, wherein mod represents complementation operator；
By { ri,1·ri,2…·ri,n-1Be set as being initial piecemeal collection, it is mapped to set { p1,p2…pnBuild linear phase
Pass relation, represents system of linear equations with following formula:
ai1r1,1+ai2r1,2+…+ainr1,n=ci,1
ai1r2,1+ai2r2,2+…+ainr2,n=ci,2
……
ai1rn,1+ai2rn,2+…+ainrn,n=ci,n
Wherein aijIt is from finite field ZPIn arbitrarily choose, draw c by that analogy2,1,c2,2,…,c2,n,…,cn,1,
cn,2,…,cn,n, show its dependency relation by the form of matrix, order The most above-mentioned system of linear equations is expressed as A × R=C；
Matrix R is carried out as the following formula secondary be mixed to get new Matrix C ': A × R × A=C '.
B, data encryption submodule 222, for being encrypted to improve the safety of data to the data of storage, it is concrete
Operation below performing:
Call secret key generating function, according to each aijValue and user input security parameter λ value, export decryption key
To { KE, KD, and by cryptographic keys KEWith calculating Cloud Server HiShare, by decryption key KDIt is stored in information processing centre.
A is inputted to pseudo random sequence generator by calculating Cloud Serverij, generate and aijIdentify Tag one to oneij,
Call homomorphic encryption iunctions, input cryptographic keys and each a simultaneouslyijCorresponding data value Vij, generate ciphertext Zij, easily know
TagijAnd cijIt is n × n matrix, is designated as Tag and Z matrix respectively；As the following formula C ' is carried out mixed once encryption with Tag matrix
Obtain C ": Tag × C '=C "；Then as the following formula with Z matrix C " is carried out secondary Hybrid Encryption and obtains C " ': C " × Z=C " '；Appoint
Meaning randomly generates B Virtual vector, wherein B >=2n, arranges in C " ' by this Virtual vector randomly, obtains a N1×N2's
Matrix Q, wherein N1And N2Being all higher than n, described Virtual vector is used for covering up real n value, further enhances the safety of data
Property.In this embodiment, min (N1,N2The line number of) >=n+3, the matrix Q obtained or columns at least big than n value 3, be referred to as improving
3 safe classes.
C, cloud storage submodule 223, store for the data after encryption are uploaded to store Cloud Server, will obtain
A, C, C ', C ", C " ', Q, Tag, Z, C " ' concrete random walk when obtaining matrix Q and described Virtual vector upload to
Store Cloud Server.
(3) data recovery module 23, will store recovery and the taking-up of data for the request according to user, and it includes classification
Matched sub-block 231 and mate fault-tolerant submodule 232, user referred herein includes validated user and disabled user:
A, classification matched sub-block 231, its specifically following operation of execution:
User sends request by human-computer exchange port to be needed to recover data r, from store Cloud Server recall matrix Q,
Random walk during generator matrix Q and Virtual vector, obtain Matrix C " ' after inversely rejecting Virtual vector according to this random walk1；
By C " '1Comparing with the C " ' recalled from storage Cloud Server, if do not mated, reporting an error, if coupling, enter
Next step；
By C " '1According to the reverse function write in advance and from storing the matrix Z and matrix recalled Cloud Server
Tag draw respectively C "1With C '1, and " and C ' compares, and either step does not mate and all reports an error, and enters next after the match is successful with C respectively
Step；
Recall matrix A, on the one hand according to the reversibility of matrix A according to R=A-1C‘A-1Obtain storing data r, on the other hand
By the A decryption function deciphering finished in advance, obtain decryption key KD', KD' with the decryption key being stored in information processing centre
KDCompare, if KD' with decryption key K being stored in information processing centreDMatch, then Cloud Server sends to user
Storage data r obtained, have thus recovered data r；
B, mate fault-tolerant submodule 232:
If KD' with KDCannot mate, report an error and data r obtained are preserved in the time t set, if
In time t, user matches secret key again, then directly data r are sent to user, otherwise lose this data r.
(4) data evaluation module 24, in the data categorizing process in data preprocessing module 21, data memory module 22
Data segmentation and ciphering process, data recovery module 23 in classification matching process exercise supervision and evaluate, change for follow-up
Enter to provide data support.
In this embodiment, (1) arranges data preprocessing module 21 and classifies large-scale data, it is possible to be effectively improved
Computational efficiency, reduces time cost；
(2) first data average mark is cut, more each sub-block is split, due in C the value of arbitrary element not only with in R
Jth shows pass, also with R in other show pass, relatedness is strong, and pseudo-random function and Homomorphic Encryption Scheme is organically tied
Being combined in matrix encryption, stealer goes for the complete information of data r, not only to crack secret key and random function,
And the value of each element in matrix must be obtained, full detail at ability recovery；
(3) being arranged into randomly in Matrix C " ' by the Virtual vector randomly generated, can effectively cover up real n value, this enters
One step improves the difficulty of decoding, and this is particularly important for the scheme dividing equally segmentation, min (N1,N2) >=n+3, obtains
The line number of matrix Q or columns at least big than n value 3, improve 3 safe classes；
(4) recover each step in data procedures all to compare with the data stored, reduce serious forgiveness；One secondary data
After recovering unsuccessfully, loss recovery data out the most immediately, but take the mode kept in, the calculating reducing system is strong
Degree.
Application scenarios 4:
A kind of high security school bus information processing system as shown in Figure 1, including Cloud Server 4, information processing centre 1,
Information acquisition unit 8, flash storage card 3, communication module 2, management platform 5, data store and recovery unit 9, monitor supervision platform 6,
Student card, driver card, teacher's card, voice-control alarm device 7, described information processing centre 1, information acquisition unit 8, flash store
Card 3, communication module 2 and acoustic control alarm device 7 are arranged in school bus, information acquisition unit 8 link information processing center 1, information
Processing center 1 connects voice-control alarm device 7, flash storage card 3 and communication module 2 respectively, and flash storage card 3 is for slow storage letter
The information that breath collecting unit 8 gathers, communication module 2 connects Cloud Server 4, and the information gathered by information acquisition unit 8 is transmitted extremely
Cloud Server 4, management platform 5, monitor supervision platform 6 connect Cloud Server 4, check student and school by platform access Cloud Server 4
Car situation；Described data store and recovery unit 9 is arranged between communication module 2 and Cloud Server 4, for school bus information data
Store and recover to take out and multi-level encryption and decryption services are provided.Described Cloud Server includes calculating Cloud Server and storing cloud service
Device, described calculating Cloud Server processes for data to provide to calculate and supports, and described storage Cloud Server is used for storing related data.
The present invention devises a kind of reasonably school bus information processing system, it is possible to grasp and monitor school bus fortune timely and accurately
Row information, reduces amount of calculation and the storage capacity of home server by arranging of Cloud Server.
Preferably, described information acquisition unit 8 include for detecting whether drink Drunk-driving-prevendevice device, for positioning school bus
In the vehicle GPS that tests the speed with school bus, admission school bus student's situation video camera and for scanning student card, driver card and teacher's card
The scanning means of internal information.
Preferably, described student card, driver card and teacher's card are provided with storage chip and unique identification chip, scanning means
The information in storage chip can be scanned, the storage chip of student card stores student information and family's long message, depositing of driver card
Store driver information in storage chip, in the storage chip of teacher's card, store teacher's information.
Preferably, as in figure 2 it is shown, described data store and recovery unit includes that data preprocessing module 21, data store
Module 22, data recovery module 23 and data evaluation module 24:
(1) data preprocessing module 21, classify for the large-scale data coming described information processing centre, its tool
Body performs following operation: is classified data by K-means cluster, is that mesh is set up in entitled each classification with cluster centre
Record, repeats above categorizing process, data is finely divided, and forms the subclassification under classification, and forms the multistage catalogue of data.
(2) data memory module 22, including data segmentation submodule 221, data encryption submodule 222 and cloud storage submodule
Block 223:
A, data segmentation submodule 221, for the data of storage are split, its specifically following operation of execution:
When needs storage data r, first it is divided into length to be n part r of h data r1, r2..., rn, then exist
Finite field ZPMiddle by each riIt is divided into n sub-block r respectivelyi,1, ri,2…ri,n, wherein p ＞ 2h, then for jth sub-block ri,j=
ri·(ri,1·ri,2…·ri,j-1)-1Modp, wherein mod represents complementation operator；
By { ri,1·ri,2…·ri,n-1Be set as being initial piecemeal collection, it is mapped to set { p1,p2…pnBuild linear phase
Pass relation, represents system of linear equations with following formula:
ai1r1,1+ai2r1,2+…+ainr1,n=ci,1
ai1r2,1+ai2r2,2+…+ainr2,n=ci,2
……
ai1rn,1+ai2rn,2+…+ainrn,n=ci,n
Wherein aijIt is from finite field ZPIn arbitrarily choose, draw c by that analogy2,1,c2,2,…,c2,n,…,cn,1,
cn,2,…,cn,n, show its dependency relation by the form of matrix, order The most above-mentioned system of linear equations is expressed as A × R=C；
Matrix R is carried out as the following formula secondary be mixed to get new Matrix C ': A × R × A=C '.
B, data encryption submodule 222, for being encrypted to improve the safety of data to the data of storage, it is concrete
Operation below performing:
Call secret key generating function, according to each aijValue and user input security parameter λ value, export decryption key
To { KE, KD, and by cryptographic keys KEWith calculating Cloud Server HiShare, by decryption key KDIt is stored in information processing centre.
A is inputted to pseudo random sequence generator by calculating Cloud Serverij, generate and aijIdentify Tag one to oneij,
Call homomorphic encryption iunctions, input cryptographic keys and each a simultaneouslyijCorresponding data value Vij, generate ciphertext Zij, easily know
TagijAnd cijIt is n × n matrix, is designated as Tag and Z matrix respectively；As the following formula C ' is carried out mixed once encryption with Tag matrix
Obtain C ": Tag × C '=C "；Then as the following formula with Z matrix C " is carried out secondary Hybrid Encryption and obtains C " ': C " × Z=C " '；Appoint
Meaning randomly generates B Virtual vector, wherein B >=2n, arranges in C " ' by this Virtual vector randomly, obtains a N1×N2's
Matrix Q, wherein N1And N2Being all higher than n, described Virtual vector is used for covering up real n value, further enhances the safety of data
Property.In this embodiment, min (N1,N2The line number of) >=n+4, the matrix Q obtained or columns at least big than n value 4, be referred to as improving
4 safe classes.
C, cloud storage submodule 223, store for the data after encryption are uploaded to store Cloud Server, will obtain
A, C, C ', C ", C " ', Q, Tag, Z, C " ' concrete random walk when obtaining matrix Q and described Virtual vector upload to
Store Cloud Server.
(3) data recovery module 23, will store recovery and the taking-up of data for the request according to user, and it includes classification
Matched sub-block 231 and mate fault-tolerant submodule 232, user referred herein includes validated user and disabled user:
A, classification matched sub-block 231, its specifically following operation of execution:
User sends request by human-computer exchange port to be needed to recover data r, from store Cloud Server recall matrix Q,
Random walk during generator matrix Q and Virtual vector, obtain Matrix C " ' after inversely rejecting Virtual vector according to this random walk1；
By C " '1Comparing with the C " ' recalled from storage Cloud Server, if do not mated, reporting an error, if coupling, enter
Next step；
By C " '1According to the reverse function write in advance and from storing the matrix Z and matrix recalled Cloud Server
Tag draw respectively C "1With C '1, and " and C ' compares, and either step does not mate and all reports an error, and enters next after the match is successful with C respectively
Step；
Recall matrix A, on the one hand according to the reversibility of matrix A according to R=A-1C‘A-1Obtain storing data r, on the other hand
By the A decryption function deciphering finished in advance, obtain decryption key KD', KD' with the decryption key being stored in information processing centre
KDCompare, if KD' with decryption key K being stored in information processing centreDMatch, then Cloud Server sends to user
Storage data r obtained, have thus recovered data r；
B, mate fault-tolerant submodule 232:
If KD' with KDCannot mate, report an error and data r obtained are preserved in the time t set, if
In time t, user matches secret key again, then directly data r are sent to user, otherwise lose this data r.
(4) data evaluation module 24, in the data categorizing process in data preprocessing module 21, data memory module 22
Data segmentation and ciphering process, data recovery module 23 in classification matching process exercise supervision and evaluate, change for follow-up
Enter to provide data support.
In this embodiment, (1) arranges data preprocessing module 21 and classifies large-scale data, it is possible to be effectively improved
Computational efficiency, reduces time cost；
(2) first data average mark is cut, more each sub-block is split, due in C the value of arbitrary element not only with in R
Jth shows pass, also with R in other show pass, relatedness is strong, and pseudo-random function and Homomorphic Encryption Scheme is organically tied
Being combined in matrix encryption, stealer goes for the complete information of data r, not only to crack secret key and random function,
And the value of each element in matrix must be obtained, full detail at ability recovery；
(3) being arranged into randomly in Matrix C " ' by the Virtual vector randomly generated, can effectively cover up real n value, this enters
One step improves the difficulty of decoding, and this is particularly important for the scheme dividing equally segmentation, min (N1,N2) >=n+4, obtains
The line number of matrix Q or columns at least big than n value 4, improve 4 safe classes；
(4) recover each step in data procedures all to compare with the data stored, reduce serious forgiveness；One secondary data
After recovering unsuccessfully, loss recovery data out the most immediately, but take the mode kept in, the calculating reducing system is strong
Degree.
Application scenarios 5:
A kind of high security school bus information processing system as shown in Figure 1, including Cloud Server 4, information processing centre 1,
Information acquisition unit 8, flash storage card 3, communication module 2, management platform 5, data store and recovery unit 9, monitor supervision platform 6,
Student card, driver card, teacher's card, voice-control alarm device 7, described information processing centre 1, information acquisition unit 8, flash store
Card 3, communication module 2 and acoustic control alarm device 7 are arranged in school bus, information acquisition unit 8 link information processing center 1, information
Processing center 1 connects voice-control alarm device 7, flash storage card 3 and communication module 2 respectively, and flash storage card 3 is for slow storage letter
The information that breath collecting unit 8 gathers, communication module 2 connects Cloud Server 4, and the information gathered by information acquisition unit 8 is transmitted extremely
Cloud Server 4, management platform 5, monitor supervision platform 6 connect Cloud Server 4, check student and school by platform access Cloud Server 4
Car situation；Described data store and recovery unit 9 is arranged between communication module 2 and Cloud Server 4, for school bus information data
Store and recover to take out and multi-level encryption and decryption services are provided.Described Cloud Server includes calculating Cloud Server and storing cloud service
Device, described calculating Cloud Server processes for data to provide to calculate and supports, and described storage Cloud Server is used for storing related data.
The present invention devises a kind of reasonably school bus information processing system, it is possible to grasp and monitor school bus fortune timely and accurately
Row information, reduces amount of calculation and the storage capacity of home server by arranging of Cloud Server.
Preferably, described information acquisition unit 8 include for detecting whether drink Drunk-driving-prevendevice device, for positioning school bus
In the vehicle GPS that tests the speed with school bus, admission school bus student's situation video camera and for scanning student card, driver card and teacher's card
The scanning means of internal information.
Preferably, described student card, driver card and teacher's card are provided with storage chip and unique identification chip, scanning means
The information in storage chip can be scanned, the storage chip of student card stores student information and family's long message, depositing of driver card
Store driver information in storage chip, in the storage chip of teacher's card, store teacher's information.
Preferably, as in figure 2 it is shown, described data store and recovery unit includes that data preprocessing module 21, data store
Module 22, data recovery module 23 and data evaluation module 24:
(1) data preprocessing module 21, classify for the large-scale data coming described information processing centre, its tool
Body performs following operation: is classified data by K-means cluster, is that mesh is set up in entitled each classification with cluster centre
Record, repeats above categorizing process, data is finely divided, and forms the subclassification under classification, and forms the multistage catalogue of data.
(2) data memory module 22, including data segmentation submodule 221, data encryption submodule 222 and cloud storage submodule
Block 223:
A, data segmentation submodule 221, for the data of storage are split, its specifically following operation of execution:
When needs storage data r, first it is divided into length to be n part r of h data r1, r2..., rn, then exist
Finite field ZPMiddle by each riIt is divided into n sub-block r respectivelyi,1, ri,2…ri,n, wherein p ＞ 2h, then for jth sub-block ri,j=
ri·(ri,1·ri,2…·ri,j-1)-1Modp, wherein mod represents complementation operator；
By { ri,1·ri,2…·ri,n-1Be set as being initial piecemeal collection, it is mapped to set { p1,p2…pnBuild linear phase
Pass relation, represents system of linear equations with following formula:
ai1r1,1+ai2r1,2+…+ainr1,n=ci,1
ai1r2,1+ai2r2,2+…+ainr2,n=ci,2
……
ai1rn,1+ai2rn,2+…+ainrn,n=ci,n
Wherein aijIt is from finite field ZPIn arbitrarily choose, draw c by that analogy2,1,c2,2,…,c2,n,…,cn,1,
cn,2,…,cn,n, show its dependency relation by the form of matrix, order The most above-mentioned system of linear equations is expressed as A × R=C；
Matrix R is carried out as the following formula secondary be mixed to get new Matrix C ': A × R × A=C '.
B, data encryption submodule 222, for being encrypted to improve the safety of data to the data of storage, it is concrete
Operation below performing:
Call secret key generating function, according to each aijValue and user input security parameter λ value, export decryption key
To { KE, KD, and by cryptographic keys KEWith calculating Cloud Server HiShare, by decryption key KDIt is stored in information processing centre.
A is inputted to pseudo random sequence generator by calculating Cloud Serverij, generate and aijIdentify Tag one to oneij,
Call homomorphic encryption iunctions, input cryptographic keys and each a simultaneouslyijCorresponding data value Vij, generate ciphertext Zij, easily know
TagijAnd cijIt is n × n matrix, is designated as Tag and Z matrix respectively；As the following formula C ' is carried out mixed once encryption with Tag matrix
Obtain C ": Tag × C '=C "；Then as the following formula with Z matrix C " is carried out secondary Hybrid Encryption and obtains C " ': C " × Z=C " '；Appoint
Meaning randomly generates B Virtual vector, wherein B >=2n, arranges in C " ' by this Virtual vector randomly, obtains a N1×N2's
Matrix Q, wherein N1And N2Being all higher than n, described Virtual vector is used for covering up real n value, further enhances the safety of data
Property.In this embodiment, min (N1,N2The line number of) >=n+5, the matrix Q obtained or columns at least big than n value 5, be referred to as improving
5 safe classes.
C, cloud storage submodule 223, store for the data after encryption are uploaded to store Cloud Server, will obtain
A, C, C ', C ", C " ', Q, Tag, Z, C " ' concrete random walk when obtaining matrix Q and described Virtual vector upload to
Store Cloud Server.
(3) data recovery module 23, will store recovery and the taking-up of data for the request according to user, and it includes classification
Matched sub-block 231 and mate fault-tolerant submodule 232, user referred herein includes validated user and disabled user:
A, classification matched sub-block 231, its specifically following operation of execution:
User sends request by human-computer exchange port to be needed to recover data r, from store Cloud Server recall matrix Q,
Random walk during generator matrix Q and Virtual vector, obtain Matrix C " ' after inversely rejecting Virtual vector according to this random walk1；
By C " '1Comparing with the C " ' recalled from storage Cloud Server, if do not mated, reporting an error, if coupling, enter
Next step；
By C " '1According to the reverse function write in advance and from storing the matrix Z and matrix recalled Cloud Server
Tag draw respectively C "1With C '1, and " and C ' compares, and either step does not mate and all reports an error, and enters next after the match is successful with C respectively
Step；
Recall matrix A, on the one hand according to the reversibility of matrix A according to R=A-1C‘A-1Obtain storing data r, on the other hand
By the A decryption function deciphering finished in advance, obtain decryption key KD', KD' with the decryption key being stored in information processing centre
KDCompare, if KD' with decryption key K being stored in information processing centreDMatch, then Cloud Server sends to user
Storage data r obtained, have thus recovered data r；
B, mate fault-tolerant submodule 232:
If KD' with KDCannot mate, report an error and data r obtained are preserved in the time t set, if
In time t, user matches secret key again, then directly data r are sent to user, otherwise lose this data r.
(4) data evaluation module 24, in the data categorizing process in data preprocessing module 21, data memory module 22
Data segmentation and ciphering process, data recovery module 23 in classification matching process exercise supervision and evaluate, change for follow-up
Enter to provide data support.
In this embodiment, (1) arranges data preprocessing module 21 and classifies large-scale data, it is possible to be effectively improved
Computational efficiency, reduces time cost；
(2) first data average mark is cut, more each sub-block is split, due in C the value of arbitrary element not only with in R
Jth shows pass, also with R in other show pass, relatedness is strong, and pseudo-random function and Homomorphic Encryption Scheme is organically tied
Being combined in matrix encryption, stealer goes for the complete information of data r, not only to crack secret key and random function,
And the value of each element in matrix must be obtained, full detail at ability recovery；
(3) being arranged into randomly in Matrix C " ' by the Virtual vector randomly generated, can effectively cover up real n value, this enters
One step improves the difficulty of decoding, and this is particularly important for the scheme dividing equally segmentation, min (N1,N2) >=n+5, obtains
The line number of matrix Q or columns at least big than n value 5, improve 5 safe classes；
(4) recover each step in data procedures all to compare with the data stored, reduce serious forgiveness；One secondary data
After recovering unsuccessfully, loss recovery data out the most immediately, but take the mode kept in, the calculating reducing system is strong
Degree.
Last it should be noted that, above example is only in order to illustrate technical scheme, rather than the present invention is protected
Protecting the restriction of scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention
Matter and scope.
Claims (3)
1. a high security school bus information processing system, is characterized in that, adopts including Cloud Server, information processing centre, information
Collection unit, flash storage card, communication module, management platform, data store and recovery unit, monitor supervision platform, student card, driver
Card, teacher's card, voice-control alarm device, described information processing centre, information acquisition unit, flash storage card, communication module harmony
Control alarm device is arranged in school bus, and information acquisition unit link information processing center, information processing centre connects acoustic control respectively
Alarm device, flash storage card and communication module, the information that flash storage card gathers for slow storage information acquisition unit, communication
Module connects Cloud Server, the information transmission gathered by information acquisition unit to Cloud Server, and management platform, monitor supervision platform connect
Cloud Server, checks student and school bus situation by platform access Cloud Server；Described data store and recovery unit is arranged on
Between communication module and Cloud Server, storage and recovery for school bus information data are taken out and are provided multi-level encryption and decryption services；
Described Cloud Server includes calculating Cloud Server and storing Cloud Server, and described calculating Cloud Server processes to provide for data and calculates
Supporting, described storage Cloud Server is used for storing related data.
A kind of high security school bus information processing system the most according to claim 1, is characterized in that, described information gathering list
Unit include for detecting whether drink Drunk-driving-prevendevice device, for positioning school bus and in vehicle GPS that school bus tests the speed, admission school bus
The video camera of student's situation and for scanning student card, driver card and the scanning means of teacher's card internal information.
A kind of high security school bus information processing system the most according to claim 2, is characterized in that, described student card, department
Machine card and teacher's card are provided with storage chip and unique identification chip, and scanning means can scan the information in storage chip, student
The storage chip of card stores student information and family's long message, in the storage chip of driver card, stores driver information, teacher
Teacher's information is store in the storage chip of card.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610561427.8A CN106204405A (en) | 2016-07-13 | 2016-07-13 | A kind of high security school bus information processing system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610561427.8A CN106204405A (en) | 2016-07-13 | 2016-07-13 | A kind of high security school bus information processing system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108877003A (en) * | 2018-06-25 | 2018-11-23 | 深圳市嘉泊智慧城市运营管理有限公司 | The garage access control system of intelligence |
| CN113688015A (en) * | 2021-08-25 | 2021-11-23 | 深圳华远云联数据科技有限公司 | Alarm notification method, device, server and storage medium |
-
2016
- 2016-07-13 CN CN201610561427.8A patent/CN106204405A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108877003A (en) * | 2018-06-25 | 2018-11-23 | 深圳市嘉泊智慧城市运营管理有限公司 | The garage access control system of intelligence |
| CN113688015A (en) * | 2021-08-25 | 2021-11-23 | 深圳华远云联数据科技有限公司 | Alarm notification method, device, server and storage medium |
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