CN106203166A - A kind of auto navigation information data sharing method - Google Patents

Abstract

The invention provides a kind of auto navigation information data sharing method, store safely including auto navigation information data and have secure access to auto navigation information data；Described auto navigation information data stores safely and comprises the following steps: (1) carries out safety verification to storage user identity；(2) auto navigation information data is carried out pretreatment；(3) encode；(4) hardware store Resource Abstract is concentrated, be mapped to a complete unified resource pool, and operating system of user is virtualized；(5) auto navigation information data is stored in resource pool with the form of final code；The secure access of described auto navigation information data comprises the following steps: (1) carries out safety verification to accessing user identity；(2) the auto navigation information data being stored on resource pool is read.The present invention can realize accessible sharing, and decreases EMS memory occupation, improves data call speed, and improves the safety that auto navigation information data is shared on the premise of ensureing convenience.

Description

A kind of auto navigation information data sharing method

Technical field

The present invention relates to auto navigation information data technical field, in particular to a kind of auto navigation information data Sharing method.

Background technology

Auto navigation information data sharing method in correlation technique can not realize safely and efficiently depositing of information of sharing Storage and the issue of shared information so that promptness and safety that auto navigation information data is shared are poor.

Summary of the invention

It is an object of the invention to provide a kind of auto navigation information data sharing method, to solve above-mentioned problem.

The purpose of the present invention realizes by the following technical solutions:

A kind of auto navigation information data sharing method, is characterized in that, including preliminary treatment, auto navigation information data peace Full storage and auto navigation information data have secure access to；

Described preliminary treatment comprises the following steps:

Auto navigation server receives the more newly downloaded request that download terminal sends；

Determine that auto navigation information data, described auto navigation information data include layering according to described more newly downloaded request The map datum of piecemeal storage；

Download described auto navigation information data from auto navigation data base and send；

Download terminal receives described auto navigation information data and processes described auto navigation information data；

Described download terminal sends auto navigation information data to car navigation terminal；

This car navigation terminal utilizes described auto navigation information data to update existing auto navigation information data.

Preferably, it is characterized in that, the detailed process that described auto navigation information data carries out processing is:

The map datum downloaded is compiled, i.e. arranges according to level and block number.

Preferably, it is characterized in that, described download terminal is the computer having information processing capability, described computer pass through because of Special net is connected with auto navigation server.

Preferably, it is characterised in that

Described auto navigation information data stores safely and comprises the following steps:

When Step 101 stores the storage request that user submits auto navigation information data to, storage user identity is pacified Full checking；

Step 102 carries out pretreatment to auto navigation information data, and auto navigation information data is divided into rudimentary knowledge With professional knowledge two types data, described rudimentary knowledge includes text and the figure that can reflect information O&M service basic condition Picture, described professional knowledge includes the text relevant to each business in the service of information O&M and image；

Pretreated auto navigation information data is used custom coding method respectively by Step 103 according to classified types Encoding, described custom coding method is as follows:

(1) using pretreated auto navigation information data as coded object, if what auto navigation information data Z comprised M attribute is S₁,S₂,…,S_m；

(2) attribute of coded object is chosen, particularly as follows:

1) n constraints of attribute is set as R₁,R₂,…,R_n, according to attribute and constraints thereof, obtain attribute weight because of Submatrix W:

In formula, a_ijFor weight factor, wherein, i=1,2 ..., m, j=1,2 ..., n, represent attribute S_mMeet restriction condition R_nDegree, span is [0,1]；

2) defined attribute weight w_i:

$w_i={\Σ}_{j=1}^n{a}_{ij}$

Attribute weight is normalized and obtains normalization attribute weight w '_i:

$w_i^{\′}=\frac{w_i}{{\mathrm{\Σ}}_{i=1}^m{w}_i}$

3) attribute weight threshold value T is set₁, defined attribute Selection of Function X_i:

$X_i=\left\{\begin{array}{cc}1,& w_i^{\&prime;}\&GreaterEqual;T_1\\ 0,& w_i^{\&prime;}<T_1\end{array}\right.$

4) set up attribute and choose Optimized model:

$Z={\&Sigma;}_{i=1}^m{S}_i{X}_i$

5) choose Optimized model according to attribute, the attribute of coded object is optimized and chooses；

(3) attribute of optimum option is encoded, obtain the final code of auto navigation information data；

Hardware store Resource Abstract is concentrated by Step 104, is mapped to a complete unified resource pool, and user is grasped Make system virtualization；

Auto navigation information data is stored in resource pool by Step 105 with the form of final code；

The secure access of described auto navigation information data comprises the following steps:

When Step 201 accesses the access request that user submits auto navigation information data to, pacify accessing user identity Full checking；

When Step 202 responds access request, read the auto navigation information data being stored on resource pool, particularly as follows:

(1) K-means clustering method is used all kinds of business in auto navigation information data to be divided, to any two Auto navigation information data Z in individual class₁And Z₂, definition distance function D:

D(Z₁,Z₂)=Y

In formula, Y represents Z₁And Z₂The number that the attribute of optimum option is identical, sets threshold value T₂If, D >=T₂, the most no matter look into Ask auto navigation information data Z₁Or Z₂, all to auto navigation information data Z₁And Z₂Prefetch, wherein threshold value T₂Value Scope is [m/2,3m/4]；

(2) concrete auto navigation information data positional information is obtained according to cluster index；

(3) according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling.

Preferably, described to access user identity carry out safety verification, particularly as follows:

(1) provide the password code of terminal authentication access user's input and identity the most correct in local service, if Correctly, access request, password code and identity are encrypted, form ciphertext collection, and ciphertext collection is sent to knowledge clothes Business device certification end, if incorrect, returns error reporting；

(2), after knowledge services device certification end receives described ciphertext collection, correspondence is concentrated to access the password of user's input ciphertext The ciphertext of password and identity is decrypted calculating, extracts password code and the value of identity accessing user's input, so After find identity relative recording that password is decrypted calculating in authentication database, if system exist this access user Record, and the password decrypted is consistent with the password code that family inputs, then judge that described access user, as validated user, will simultaneously Fingerprint collecting instruction, ciphertext collection, this session key and an encryption session random number are sent to knowledge request user side, knowledge Server authentication end preserves identity and association key simultaneously；If there is not this user record, knowledge services device certification in system Hold and provide terminal to return error reporting to local service；

(3) instruction of described fingerprint collecting, ciphertext collection, this session key and an encryption are received when resource request user side After session random number, verify that this session key and an encryption session random number are the most correct, if correctly, send out to accessing user Go out finger print information input instruction, this session key and encryption session random number are decrypted calculating, simultaneously by identity It is sent to knowledge services device certification end after being encrypted with the finger print information of input；If it is incorrect, to knowledge services device certification end Send illegal report；

(4) during the finger print information of the identity after knowledge services device certification end receives encryption and input, after encryption The finger print information of identity and input be decrypted calculating, and the fingerprint that would correspond to identity extracts in data base Out the finger print information with input compares, if the two is identical, then responds access request, if the two differs, returns illegal Report.

Preferably, described to storage user identity carry out safety verification, particularly as follows:

(1), when local service provides terminal to receive fingerprint and the identity storing user's input, user will be stored defeated The fingerprint entered and identity are sent to knowledge store certification end after being encrypted；

(2) knowledge store certification end is decrypted calculating to fingerprint and the identity of the storage user's input after encryption, And the fingerprint that would correspond to identity extracts in data base and compares with the fingerprint storing user's input, if the two Identical, it is determined that this storage user is legal storage user, for the virtual resource that legal storage user's configuration is corresponding with storage request Pond, if incorrect, provides terminal to return error reporting to local service.

The present invention can include following beneficial effect:

1, auto navigation information data is encoded, facilitate Back ground Information and realize with all kinds of business information accessible common Enjoy；

2, according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling, subtracts Lack EMS memory occupation, improve data call speed；

3, to storage user carry out safety verification time, User Identity and finger print information the most encrypted after transmit, Not havinging plaintext version, knowledge store certification end is just true after verifying the User Identity after encryption and finger print information Whether fixed be that storage user's configuration asks corresponding virtual resource pond with storage, limits the illegal storage of disabled user, and tests Card speed is fast, further increases the safety that auto navigation information data is shared on the premise of ensureing convenience；

4, to access user carry out safety verification time, the information such as user name, password, fingerprint and session random number is all with close Literary composition form is transmitted, and does not haves plaintext version；Meanwhile, according to symmetry and the one-way hash function feature of user key, Via the user profile ciphertext of passage transmission, there is unipolarity, even data are intercepted and captured, be intended to it is cracked the most highly difficult, When taking precautions against transmission with this, user data is divulged a secret, and privacy of user can obtain guarantee, thus further increases auto navigation Information Number According to shared safety.

It should be appreciated that it is only exemplary that above general description and details hereinafter describe, can not be limited this Open.

Accompanying drawing explanation

Fig. 1 is the method flow diagram that the auto navigation information data of the present invention stores safely；

Fig. 2 is the method flow diagram of the auto navigation information data secure access of the present invention

Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meet the enforcement of the present invention Example, and for explaining the principle of the present invention together with description.

Detailed description of the invention

Below by specific embodiment and combine accompanying drawing the present invention is described in further detail.

Embodiment 1

See Fig. 1, Fig. 2, the present embodiment one auto navigation information data sharing method, it is characterized in that, including tentatively locating Reason, auto navigation information data store safely and the secure access of auto navigation information data；

Described preliminary treatment comprises the following steps:

Auto navigation server receives the more newly downloaded request that download terminal sends；

Determine that auto navigation information data, described auto navigation information data include layering according to described more newly downloaded request The map datum of piecemeal storage；

Download described auto navigation information data from auto navigation data base and send；

Download terminal receives described auto navigation information data and processes described auto navigation information data；

Described download terminal sends auto navigation information data to car navigation terminal；

This car navigation terminal utilizes described auto navigation information data to update existing auto navigation information data.

Preferably, it is characterized in that, the detailed process that described auto navigation information data carries out processing is:

The map datum downloaded is compiled, i.e. arranges according to level and block number.

Preferably, it is characterized in that, described download terminal is the computer having information processing capability, described computer pass through because of Special net is connected with auto navigation server.

Preferably, it is characterised in that

Described auto navigation information data stores safely and comprises the following steps:

When Step 101 stores the storage request that user submits auto navigation information data to, storage user identity is pacified Full checking；

Step 102 carries out pretreatment to auto navigation information data, and auto navigation information data is divided into rudimentary knowledge With professional knowledge two types data, described rudimentary knowledge includes text and the figure that can reflect information O&M service basic condition Picture, described professional knowledge includes the text relevant to each business in the service of information O&M and image；

Pretreated auto navigation information data is used custom coding method respectively by Step 103 according to classified types Encode；

Hardware store Resource Abstract is concentrated by Step 104, is mapped to a complete unified resource pool, and user is grasped Make system virtualization；

Auto navigation information data is stored in resource pool by Step 105 with the form of final code；

The secure access of described auto navigation information data comprises the following steps:

When Step 201 accesses the access request that user submits auto navigation information data to, pacify accessing user identity Full checking；

When Step 202 responds access request, read the auto navigation information data being stored on resource pool, particularly as follows:

(1) K-means clustering method is used all kinds of business in auto navigation information data to be divided, to any two Auto navigation information data Z in individual class₁And Z₂, definition distance function D:

D(Z₁,Z₂)=Y

In formula, Y represents Z₁And Z₂The number that the attribute of optimum option is identical, sets threshold value T₂If, D >=T₂, the most no matter look into Ask auto navigation information data Z₁Or Z₂, all to auto navigation information data Z₁And Z₂Prefetch；

(2) concrete auto navigation information data positional information is obtained according to cluster index；

(3) according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling.

Auto navigation information data is encoded by the present embodiment, facilitates Back ground Information and realizes nothing with all kinds of business information Obstacle is shared；According to cluster result and auto navigation information data positional information, auto navigation information data is scheduling, subtracts Lack EMS memory occupation, improve data call speed.

Embodiment 2

See Fig. 1, Fig. 2, the present embodiment one auto navigation information data sharing method, it is characterized in that, including tentatively locating Reason, auto navigation information data store safely and the secure access of auto navigation information data；

Described preliminary treatment comprises the following steps:

Auto navigation server receives the more newly downloaded request that download terminal sends；

Determine that auto navigation information data, described auto navigation information data include layering according to described more newly downloaded request The map datum of piecemeal storage；

Download described auto navigation information data from auto navigation data base and send；

Download terminal receives described auto navigation information data and processes described auto navigation information data；

Described download terminal sends auto navigation information data to car navigation terminal；

This car navigation terminal utilizes described auto navigation information data to update existing auto navigation information data.

Preferably, it is characterized in that, the detailed process that described auto navigation information data carries out processing is:

The map datum downloaded is compiled, i.e. arranges according to level and block number.

Preferably, it is characterized in that, described download terminal is the computer having information processing capability, described computer pass through because of Special net is connected with auto navigation server.

Preferably, it is characterised in that

Described auto navigation information data stores safely and comprises the following steps:

When Step 101 stores the storage request that user submits auto navigation information data to, storage user identity is pacified Full checking；

Step 102 carries out pretreatment to auto navigation information data, and auto navigation information data is divided into rudimentary knowledge With professional knowledge two types data, described rudimentary knowledge includes text and the figure that can reflect information O&M service basic condition Picture, described professional knowledge includes the text relevant to each business in the service of information O&M and image；

Pretreated auto navigation information data is used custom coding method respectively by Step 103 according to classified types Encode；

Hardware store Resource Abstract is concentrated by Step 104, is mapped to a complete unified resource pool, and user is grasped Make system virtualization；

Auto navigation information data is stored in resource pool by Step 105 with the form of final code；

The secure access of described auto navigation information data comprises the following steps:

When Step 201 accesses the access request that user submits auto navigation information data to, pacify accessing user identity Full checking；

When Step 202 responds access request, read the auto navigation information data being stored on resource pool, particularly as follows:

(1) K-means clustering method is used all kinds of business in auto navigation information data to be divided, to any two Auto navigation information data Z in individual class₁And Z₂, definition distance function D:

D(Z₁,Z₂)=Y

In formula, Y represents Z₁And Z₂The number that the attribute of optimum option is identical, sets threshold value T₂If, D >=T₂, the most no matter look into Ask auto navigation information data Z₁Or Z₂, all to auto navigation information data Z₁And Z₂Prefetch；

(2) concrete auto navigation information data positional information is obtained according to cluster index；

(3) according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling.

Wherein, the custom coding method of the present embodiment is as follows:

(1) using pretreated auto navigation information data as coded object, if what auto navigation information data Z comprised M attribute is S₁,S₂,…,S_m；

(2) attribute of coded object is chosen, particularly as follows:

1) n constraints of attribute is set as R₁,R₂,…,R_n, according to attribute and constraints thereof, obtain attribute weight because of Submatrix W:

In formula, a_ijFor weight factor, wherein, i=1,2 ..., m, j=1,2 ..., n, represent attribute S_mMeet restriction condition R_nDegree, span is [0,1]；

2) defined attribute weight w_i:

$w_i={\&Sigma;}_{j=1}^n{a}_{ij}$

Attribute weight is normalized and obtains normalization attribute weight w '_i:

$w_i^{\&prime;}=\frac{w_i}{{\mathrm{\&Sigma;}}_{i=1}^m{w}_i}$

3) attribute weight threshold value T is set₁, defined attribute Selection of Function X_i:

$X_i=\left\{\begin{array}{cc}1,& w_i^{\&prime;}\&GreaterEqual;T_1\\ 0,& w_i^{\&prime;}<T_1\end{array}\right.$

4) set up attribute and choose Optimized model:

$Z={\&Sigma;}_{i=1}^m{S}_i{X}_i$

5) choose Optimized model according to attribute, the attribute of coded object is optimized and chooses；

(3) attribute of optimum option is encoded, obtain the final code of auto navigation information data；

Auto navigation information data is encoded by the present embodiment, facilitates Back ground Information and realizes nothing with all kinds of business information Obstacle is shared；According to cluster result and auto navigation information data positional information, auto navigation information data is scheduling, subtracts Having lacked EMS memory occupation, improve data call speed, the present embodiment sets threshold value T₂Value be m/2, data call speed carries High by 0.5%.

Embodiment 3

See Fig. 1, Fig. 2, the present embodiment one auto navigation information data sharing method, it is characterized in that, including tentatively locating Reason, auto navigation information data store safely and the secure access of auto navigation information data；

Described preliminary treatment comprises the following steps:

Auto navigation server receives the more newly downloaded request that download terminal sends；

Determine that auto navigation information data, described auto navigation information data include layering according to described more newly downloaded request The map datum of piecemeal storage；

Download described auto navigation information data from auto navigation data base and send；

Download terminal receives described auto navigation information data and processes described auto navigation information data；

Described download terminal sends auto navigation information data to car navigation terminal；

This car navigation terminal utilizes described auto navigation information data to update existing auto navigation information data.

Preferably, it is characterized in that, the detailed process that described auto navigation information data carries out processing is:

The map datum downloaded is compiled, i.e. arranges according to level and block number.

Preferably, it is characterized in that, described download terminal is the computer having information processing capability, described computer pass through because of Special net is connected with auto navigation server.

Preferably, it is characterised in that

Described auto navigation information data stores safely and comprises the following steps:

When Step 101 stores the storage request that user submits auto navigation information data to, storage user identity is pacified Full checking；

Step 102 carries out pretreatment to auto navigation information data, and auto navigation information data is divided into rudimentary knowledge With professional knowledge two types data, described rudimentary knowledge includes text and the figure that can reflect information O&M service basic condition Picture, described professional knowledge includes the text relevant to each business in the service of information O&M and image；

Pretreated auto navigation information data is used custom coding method respectively by Step 103 according to classified types Encoding, described custom coding method is as follows:

(1) using pretreated auto navigation information data as coded object, if what auto navigation information data Z comprised M attribute is S₁,S₂,…,S_m；

(2) attribute of coded object is chosen, particularly as follows:

1) n constraints of attribute is set as R₁,R₂,…,R_n, according to attribute and constraints thereof, obtain attribute weight because of Submatrix W:

In formula, a_ijFor weight factor, wherein, i=1,2 ..., m, j=1,2 ..., n, represent attribute S_mMeet restriction condition R_nDegree, span is [0,1]；

2) defined attribute weight w_i:

$w_i={\&Sigma;}_{j=1}^n{a}_{ij}$

Attribute weight is normalized and obtains normalization attribute weight w '_i:

$w_i^{\&prime;}=\frac{w_i}{{\mathrm{\&Sigma;}}_{i=1}^m{w}_i}$

3) attribute weight threshold value T is set₁, defined attribute Selection of Function X_i:

$X_i=\left\{\begin{array}{cc}1,& w_i^{\&prime;}\&GreaterEqual;T_1\\ 0,& w_i^{\&prime;}<T_1\end{array}\right.$

4) set up attribute and choose Optimized model:

$Z={\&Sigma;}_{i=1}^m{S}_i{X}_i$

5) choose Optimized model according to attribute, the attribute of coded object is optimized and chooses；

(3) attribute of optimum option is encoded, obtain the final code of auto navigation information data；

Hardware store Resource Abstract is concentrated by Step 104, is mapped to a complete unified resource pool, and user is grasped Make system virtualization；

Auto navigation information data is stored in resource pool by Step 105 with the form of final code；

The secure access of described auto navigation information data comprises the following steps:

When Step 201 accesses the access request that user submits auto navigation information data to, pacify accessing user identity Full checking；

When Step 202 responds access request, read the auto navigation information data being stored on resource pool, particularly as follows:

(1) K-means clustering method is used all kinds of business in auto navigation information data to be divided, to any two Auto navigation information data Z in individual class₁And Z₂, definition distance function D:

D(Z₁,Z₂)=Y

In formula, Y represents Z₁And Z₂The number that the attribute of optimum option is identical, sets threshold value T₂If, D >=T₂, the most no matter look into Ask auto navigation information data Z₁Or Z₂, all to auto navigation information data Z₁And Z₂Prefetch, wherein threshold value T₂Value Scope is [m/2,3m/4]；

(2) concrete auto navigation information data positional information is obtained according to cluster index；

(3) according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling.

Wherein, described to access user identity carry out safety verification, particularly as follows:

(1) provide the password code of terminal authentication access user's input and identity the most correct in local service, if Correctly, access request, password code and identity are encrypted, form ciphertext collection, and ciphertext collection is sent to knowledge clothes Business device certification end, if incorrect, returns error reporting；

(2), after knowledge services device certification end receives described ciphertext collection, correspondence is concentrated to access the password of user's input ciphertext The ciphertext of password and identity is decrypted calculating, extracts password code and the value of identity accessing user's input, so After find identity relative recording that password is decrypted calculating in authentication database, if system exist this access user Record, and the password decrypted is consistent with the password code that family inputs, then judge that described access user, as validated user, will simultaneously Fingerprint collecting instruction, ciphertext collection, this session key and an encryption session random number are sent to knowledge request user side, knowledge Server authentication end preserves identity and association key simultaneously；If there is not this user record, knowledge services device certification in system Hold and provide terminal to return error reporting to local service；

(3) instruction of described fingerprint collecting, ciphertext collection, this session key and an encryption are received when resource request user side After session random number, verify that this session key and an encryption session random number are the most correct, if correctly, send out to accessing user Go out finger print information input instruction, this session key and encryption session random number are decrypted calculating, simultaneously by identity It is sent to knowledge services device certification end after being encrypted with the finger print information of input；If it is incorrect, to knowledge services device certification end Send illegal report；

(4) during the finger print information of the identity after knowledge services device certification end receives encryption and input, after encryption The finger print information of identity and input be decrypted calculating, and the fingerprint that would correspond to identity extracts in data base Out the finger print information with input compares, if the two is identical, then responds access request, if the two differs, returns illegal Report.

The present embodiment to access user carry out safety verification time, the information such as user name, password, fingerprint and session random number All transmit with ciphertext form, do not have plaintext version；Meanwhile, according to symmetry and the one-way hash function of user key Feature, has unipolarity via the user profile ciphertext of passage transmission, even data are intercepted and captured, is intended to crack it the most very Difficulty, when taking precautions against transmission with this, user data is divulged a secret, and privacy of user can obtain guarantee, thus further increases auto navigation letter The safety of breath data sharing；Auto navigation information data is encoded, facilitates Back ground Information real with all kinds of business information Existing accessible shared；According to cluster result and auto navigation information data positional information, auto navigation information data is adjusted Degree, decreases EMS memory occupation, improves data call speed, and the present embodiment sets threshold value T₂Value be 9m/16, data call Speed improves 0.7%.

Embodiment 4

See Fig. 1, Fig. 2, the present embodiment one auto navigation information data sharing method, it is characterized in that, including tentatively locating Reason, auto navigation information data store safely and the secure access of auto navigation information data；

Described preliminary treatment comprises the following steps:

Auto navigation server receives the more newly downloaded request that download terminal sends；

Determine that auto navigation information data, described auto navigation information data include layering according to described more newly downloaded request The map datum of piecemeal storage；

Download described auto navigation information data from auto navigation data base and send；

Download terminal receives described auto navigation information data and processes described auto navigation information data；

Described download terminal sends auto navigation information data to car navigation terminal；

This car navigation terminal utilizes described auto navigation information data to update existing auto navigation information data.

Preferably, it is characterized in that, the detailed process that described auto navigation information data carries out processing is:

The map datum downloaded is compiled, i.e. arranges according to level and block number.

Preferably, it is characterized in that, described download terminal is the computer having information processing capability, described computer pass through because of Special net is connected with auto navigation server.

Preferably, it is characterised in that

Described auto navigation information data stores safely and comprises the following steps:

When Step 101 stores the storage request that user submits auto navigation information data to, storage user identity is pacified Full checking；

Step 102 carries out pretreatment to auto navigation information data, and auto navigation information data is divided into rudimentary knowledge With professional knowledge two types data, described rudimentary knowledge includes text and the figure that can reflect information O&M service basic condition Picture, described professional knowledge includes the text relevant to each business in the service of information O&M and image；

Pretreated auto navigation information data is used custom coding method respectively by Step 103 according to classified types Encoding, described custom coding method is as follows:

(1) using pretreated auto navigation information data as coded object, if what auto navigation information data Z comprised M attribute is S₁,S₂,…,S_m；

(2) attribute of coded object is chosen, particularly as follows:

1) n constraints of attribute is set as R₁,R₂..., R_n, according to attribute and constraints thereof, obtain attribute weight because of Submatrix W:

In formula, a_ijFor weight factor, wherein, i=1,2 ..., m, j=1,2 ..., n, represent attribute S_mMeet restriction condition R_nDegree, span is [0,1]；

2) defined attribute weight w_i:

$w_i={\&Sigma;}_{j=1}^n{a}_{ij}$

Attribute weight is normalized and obtains normalization attribute weight w '_i:

$w_i^{\&prime;}=\frac{w_i}{{\mathrm{\&Sigma;}}_{i=1}^m{w}_i}$

3) attribute weight threshold value T is set₁, defined attribute Selection of Function X_i:

$X_i=\left\{\begin{array}{cc}1,& w_i^{\&prime;}\&GreaterEqual;T_1\\ 0,& w_i^{\&prime;}<T_1\end{array}\right.$

4) set up attribute and choose Optimized model:

$Z={\&Sigma;}_{i=1}^m{S}_i{X}_i$

5) choose Optimized model according to attribute, the attribute of coded object is optimized and chooses；

(3) attribute of optimum option is encoded, obtain the final code of auto navigation information data；

Hardware store Resource Abstract is concentrated by Step 104, is mapped to a complete unified resource pool, and user is grasped Make system virtualization；

Auto navigation information data is stored in resource pool by Step 105 with the form of final code；

The secure access of described auto navigation information data comprises the following steps:

When Step 201 accesses the access request that user submits auto navigation information data to, pacify accessing user identity Full checking；

When Step 202 responds access request, read the auto navigation information data being stored on resource pool, particularly as follows:

(1) K-means clustering method is used all kinds of business in auto navigation information data to be divided, to any two Auto navigation information data Z in individual class₁And Z₂, definition distance function D:

D(Z₁,Z₂)=Y

In formula, Y represents Z₁And Z₂The number that the attribute of optimum option is identical, sets threshold value T₂If, D >=T₂, the most no matter look into Ask auto navigation information data Z₁Or Z₂, all to auto navigation information data Z₁And Z₂Prefetch, wherein threshold value T₂Value Scope is [m/2,3m/4]；

(2) concrete auto navigation information data positional information is obtained according to cluster index；

(3) according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling.

Wherein, described to access user identity carry out safety verification, particularly as follows:

(1) provide the password code of terminal authentication access user's input and identity the most correct in local service, if Correctly, access request, password code and identity are encrypted, form ciphertext collection, and ciphertext collection is sent to knowledge clothes Business device certification end, if incorrect, returns error reporting；

(2), after knowledge services device certification end receives described ciphertext collection, correspondence is concentrated to access the password of user's input ciphertext The ciphertext of password and identity is decrypted calculating, extracts password code and the value of identity accessing user's input, so After find identity relative recording that password is decrypted calculating in authentication database, if system exist this access user Record, and the password decrypted is consistent with the password code that family inputs, then judge that described access user, as validated user, will simultaneously Fingerprint collecting instruction, ciphertext collection, this session key and an encryption session random number are sent to knowledge request user side, knowledge Server authentication end preserves identity and association key simultaneously；If there is not this user record, knowledge services device certification in system Hold and provide terminal to return error reporting to local service；

(3) instruction of described fingerprint collecting, ciphertext collection, this session key and an encryption are received when resource request user side After session random number, verify that this session key and an encryption session random number are the most correct, if correctly, send out to accessing user Go out finger print information input instruction, this session key and encryption session random number are decrypted calculating, simultaneously by identity It is sent to knowledge services device certification end after being encrypted with the finger print information of input；If it is incorrect, to knowledge services device certification end Send illegal report；

(4) during the finger print information of the identity after knowledge services device certification end receives encryption and input, after encryption The finger print information of identity and input be decrypted calculating, and the fingerprint that would correspond to identity extracts in data base Out the finger print information with input compares, if the two is identical, then responds access request, if the two differs, returns illegal Report.

Wherein, described to storage user identity carry out safety verification, particularly as follows:

(1), when local service provides terminal to receive fingerprint and the identity storing user's input, user will be stored defeated The fingerprint entered and identity are sent to knowledge store certification end after being encrypted；

(2) knowledge store certification end is decrypted calculating to fingerprint and the identity of the storage user's input after encryption, And the fingerprint that would correspond to identity extracts in data base and compares with the fingerprint storing user's input, if the two Identical, it is determined that this storage user is legal storage user, for the virtual resource that legal storage user's configuration is corresponding with storage request Pond, if incorrect, provides terminal to return error reporting to local service.

The present embodiment to storage user carry out safety verification time, User Identity and finger print information the most encrypted after carry out Transmission, does not haves plaintext version, and the User Identity after encryption and finger print information are verified by knowledge store certification end Rear just determine whether to ask corresponding virtual resource pond for storage user's configuration with storage, limit illegally depositing of disabled user Storage, and verifying speed is fast, further increases the safety that auto navigation information data is shared on the premise of ensureing convenience, And to access user carry out safety verification time, the information such as user name, password, fingerprint and session random number is all entered with ciphertext form Row transmission, does not haves plaintext version；Meanwhile, according to symmetry and the one-way hash function feature of user key, via passage The user profile ciphertext of transmission has unipolarity, even data are intercepted and captured, is intended to crack it the most highly difficult, takes precautions against with this During transmission, user data is divulged a secret, and privacy of user can obtain guarantee, thus further increases what auto navigation information data was shared Safety；Auto navigation information data is encoded, facilitates Back ground Information and realize accessible sharing with all kinds of business information； According to cluster result and auto navigation information data positional information, auto navigation information data is scheduling, decreases internal memory and account for With, improve data call speed, the present embodiment sets threshold value T₂Value be 5m/8, data call speed improves 0.9%.

Embodiment 5

See Fig. 1, Fig. 2, the present embodiment one auto navigation information data sharing method, it is characterized in that, including tentatively locating Reason, auto navigation information data store safely and the secure access of auto navigation information data；

Described preliminary treatment comprises the following steps:

Auto navigation server receives the more newly downloaded request that download terminal sends；

Determine that auto navigation information data, described auto navigation information data include layering according to described more newly downloaded request The map datum of piecemeal storage；

Download described auto navigation information data from auto navigation data base and send；

Download terminal receives described auto navigation information data and processes described auto navigation information data；

Described download terminal sends auto navigation information data to car navigation terminal；

This car navigation terminal utilizes described auto navigation information data to update existing auto navigation information data.

Preferably, it is characterized in that, the detailed process that described auto navigation information data carries out processing is:

The map datum downloaded is compiled, i.e. arranges according to level and block number.

Preferably, it is characterized in that, described download terminal is the computer having information processing capability, described computer pass through because of Special net is connected with auto navigation server.

Preferably, it is characterised in that

Described auto navigation information data stores safely and comprises the following steps:

When Step 101 stores the storage request that user submits auto navigation information data to, storage user identity is pacified Full checking；

Step 102 carries out pretreatment to auto navigation information data, and auto navigation information data is divided into rudimentary knowledge With professional knowledge two types data, described rudimentary knowledge includes text and the figure that can reflect information O&M service basic condition Picture, described professional knowledge includes the text relevant to each business in the service of information O&M and image；

Pretreated auto navigation information data is used custom coding method respectively by Step 103 according to classified types Encoding, described custom coding method is as follows:

(1) using pretreated auto navigation information data as coded object, if what auto navigation information data Z comprised M attribute is S₁,S₂,…,S_m；

(2) attribute of coded object is chosen, particularly as follows:

1) n constraints of attribute is set as R₁,R₂,…,R_n, according to attribute and constraints thereof, obtain attribute weight because of Submatrix W:

In formula, a_ijFor weight factor, wherein, i=1,2 ..., m, j=1,2 ..., n, represent attribute S_mMeet restriction condition R_nDegree, span is [0,1]；

2) defined attribute weight w_i:

$w_i={\&Sigma;}_{j=1}^n{a}_{ij}$

Attribute weight is normalized and obtains normalization attribute weight w '_i:

$w_i^{\&prime;}=\frac{w_i}{{\mathrm{\&Sigma;}}_{i=1}^m{w}_i}$

3) attribute weight threshold value T is set₁, defined attribute Selection of Function X_i:

$X_i=\left\{\begin{array}{cc}1,& w_i^{\&prime;}\&GreaterEqual;T_1\\ 0,& w_i^{\&prime;}<T_1\end{array}\right.$

4) set up attribute and choose Optimized model:

$Z={\&Sigma;}_{i=1}^m{S}_i{X}_i$

5) choose Optimized model according to attribute, the attribute of coded object is optimized and chooses；

(3) attribute of optimum option is encoded, obtain the final code of auto navigation information data；

Hardware store Resource Abstract is concentrated by Step 104, is mapped to a complete unified resource pool, and user is grasped Make system virtualization；

Auto navigation information data is stored in resource pool by Step 105 with the form of final code；

The secure access of described auto navigation information data comprises the following steps:

When Step 201 accesses the access request that user submits auto navigation information data to, pacify accessing user identity Full checking；

When Step 202 responds access request, read the auto navigation information data being stored on resource pool, particularly as follows:

(1) K-means clustering method is used all kinds of business in auto navigation information data to be divided, to any two Auto navigation information data Z in individual class₁And Z₂, definition distance function D:

D(Z₁,Z₂)=Y

In formula, Y represents Z₁And Z₂The number that the attribute of optimum option is identical, sets threshold value T₂If, D >=T₂, the most no matter look into Ask auto navigation information data Z₁Or Z₂, all to auto navigation information data Z₁And Z₂Prefetch, wherein threshold value T₂Value Scope is [m/2,3m/4]；

(2) concrete auto navigation information data positional information is obtained according to cluster index；

(3) according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling.

Wherein, described to access user identity carry out safety verification, particularly as follows:

(1) provide the password code of terminal authentication access user's input and identity the most correct in local service, if Correctly, access request, password code and identity are encrypted, form ciphertext collection, and ciphertext collection is sent to knowledge clothes Business device certification end, if incorrect, returns error reporting；

(2), after knowledge services device certification end receives described ciphertext collection, correspondence is concentrated to access the password of user's input ciphertext The ciphertext of password and identity is decrypted calculating, extracts password code and the value of identity accessing user's input, so After find identity relative recording that password is decrypted calculating in authentication database, if system exist this access user Record, and the password decrypted is consistent with the password code that family inputs, then judge that described access user, as validated user, will simultaneously Fingerprint collecting instruction, ciphertext collection, this session key and an encryption session random number are sent to knowledge request user side, knowledge Server authentication end preserves identity and association key simultaneously；If there is not this user record, knowledge services device certification in system Hold and provide terminal to return error reporting to local service；

(3) instruction of described fingerprint collecting, ciphertext collection, this session key and an encryption are received when resource request user side After session random number, verify that this session key and an encryption session random number are the most correct, if correctly, send out to accessing user Go out finger print information input instruction, this session key and encryption session random number are decrypted calculating, simultaneously by identity It is sent to knowledge services device certification end after being encrypted with the finger print information of input；If it is incorrect, to knowledge services device certification end Send illegal report；

(4) during the finger print information of the identity after knowledge services device certification end receives encryption and input, after encryption The finger print information of identity and input be decrypted calculating, and the fingerprint that would correspond to identity extracts in data base Out the finger print information with input compares, if the two is identical, then responds access request, if the two differs, returns illegal Report.

Wherein, described to storage user identity carry out safety verification, particularly as follows:

(1), when local service provides terminal to receive fingerprint and the identity storing user's input, user will be stored defeated The fingerprint entered and identity are sent to knowledge store certification end after being encrypted；

(2) knowledge store certification end is decrypted calculating to fingerprint and the identity of the storage user's input after encryption, And the fingerprint that would correspond to identity extracts in data base and compares with the fingerprint storing user's input, if the two Identical, it is determined that this storage user is legal storage user, for the virtual resource that legal storage user's configuration is corresponding with storage request Pond, if incorrect, provides terminal to return error reporting to local service.

The present embodiment to storage user carry out safety verification time, User Identity and finger print information the most encrypted after carry out Transmission, does not haves plaintext version, and the User Identity after encryption and finger print information are verified by knowledge store certification end Rear just determine whether to ask corresponding virtual resource pond for storage user's configuration with storage, limit illegally depositing of disabled user Storage, and verifying speed is fast, further increases the safety that auto navigation information data is shared on the premise of ensureing convenience, And to access user carry out safety verification time, the information such as user name, password, fingerprint and session random number is all entered with ciphertext form Row transmission, does not haves plaintext version；Meanwhile, according to symmetry and the one-way hash function feature of user key, via passage The user profile ciphertext of transmission has unipolarity, even data are intercepted and captured, is intended to crack it the most highly difficult, takes precautions against with this During transmission, user data is divulged a secret, and privacy of user can obtain guarantee, thus further increases what auto navigation information data was shared Safety；Auto navigation information data is encoded, facilitates Back ground Information and realize accessible sharing with all kinds of business information； According to cluster result and auto navigation information data positional information, auto navigation information data is scheduling, decreases internal memory and account for With, improve data call speed, the present embodiment sets threshold value T₂Value be 11m/16, data call speed improves 1.2%.

The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies Change, equivalent, improvement etc., should be included within the scope of the present invention.

Claims (6)

1. an auto navigation information data sharing method, is characterized in that, including preliminary treatment, auto navigation information data safety Storage and auto navigation information data have secure access to；

Described preliminary treatment comprises the following steps:

Auto navigation server receives the more newly downloaded request that download terminal sends；

Determine that auto navigation information data, described auto navigation information data include hierarchical block according to described more newly downloaded request The map datum of storage；

Download described auto navigation information data from auto navigation data base and send；

Download terminal receives described auto navigation information data and processes described auto navigation information data；

Described download terminal sends auto navigation information data to car navigation terminal；

This car navigation terminal utilizes described auto navigation information data to update existing auto navigation information data.

A kind of auto navigation information data sharing method the most according to claim 1, is characterized in that, described auto navigation is believed The detailed process that breath data carry out processing is:

The map datum downloaded is compiled, i.e. arranges according to level and block number.

A kind of auto navigation information data sharing method the most according to claim 2, is characterized in that, described download terminal is Having the computer of information processing capability, described computer is connected with auto navigation server by the Internet.

A kind of auto navigation information data sharing method the most according to claim 3, it is characterised in that

Described auto navigation information data stores safely and comprises the following steps:

When Step 101 stores the storage request that user submits auto navigation information data to, storage user identity is carried out safety and tests Card；

Step 102 carries out pretreatment to auto navigation information data, and auto navigation information data is divided into rudimentary knowledge and industry Business knowledge two types data, described rudimentary knowledge includes text and the image that can reflect information O&M service basic condition, Described professional knowledge includes the text relevant to each business in the service of information O&M and image；

Pretreated auto navigation information data is carried out by custom coding method respectively by Step 103 according to classified types Coding, described custom coding method is as follows:

(1) using pretreated auto navigation information data as coded object, if m that auto navigation information data Z comprises Attribute is S₁,S₂,…,S_m；

(2) attribute of coded object is chosen, particularly as follows:

1) n constraints of attribute is set as R₁,R₂,…,R_n, according to attribute and constraints thereof, obtain attribute weight factor square Battle array W:

In formula, a_ijFor weight factor, wherein, i=1,2 ..., m, j=1,2 ..., n, represent attribute S_mMeet restriction condition R_n's Degree, span is [0,1]；

2) defined attribute weight w_i:

$w_i={\mathrm{\&Sigma;}}_{j=1}^n{a}_{ij}$

Attribute weight is normalized and obtains normalization attribute weight w '_i:

$w_i^{\&prime;}=\frac{w_i}{{\mathrm{\&Sigma;}}_{i=1}^m{w}_i}$

3) attribute weight threshold value T is set₁, defined attribute Selection of Function X_i:

$X_i=\left\{\begin{array}{cc}1,& w_i^{\&prime;}\&GreaterEqual;T_1\\ 0,& w_i^{\&prime;}<T_1\end{array}\right.$

4) set up attribute and choose Optimized model:

$Z={\mathrm{\&Sigma;}}_{i=1}^m{S}_i{X}_i$

5) choose Optimized model according to attribute, the attribute of coded object is optimized and chooses；

(3) attribute of optimum option is encoded, obtain the final code of auto navigation information data；

Hardware store Resource Abstract is concentrated by Step 104, is mapped to a complete unified resource pool, and by user operation system System virtualization；

Auto navigation information data is stored in resource pool by Step 105 with the form of final code；

The secure access of described auto navigation information data comprises the following steps:

When Step 201 accesses the access request that user submits auto navigation information data to, carry out testing safely to accessing user identity Card；

When Step 202 responds access request, read the auto navigation information data being stored on resource pool, particularly as follows:

(1) K-means clustering method is used all kinds of business in auto navigation information data to be divided, to any two class Interior auto navigation information data Z₁And Z₂, definition distance function D:

D(Z₁,Z₂)=Y

In formula, Y represents Z₁And Z₂The number that the attribute of optimum option is identical, sets threshold value T₂If, D >=T₂, the most no matter inquire about automobile Navigation information data Z₁Or Z₂, all to auto navigation information data Z₁And Z₂Prefetch, wherein threshold value T₂Span be [m/2,3m/4]；

(2) concrete auto navigation information data positional information is obtained according to cluster index；

(3) according to cluster result and auto navigation information data positional information, auto navigation information data is scheduling.

A kind of auto navigation information data sharing method the most according to claim 4, it is characterised in that described to accessing use Family identity carries out safety verification, particularly as follows:

(1) provide the password code of terminal authentication access user's input and identity the most correct in local service, if correctly, Access request, password code and identity are encrypted, form ciphertext collection, and ciphertext collection is sent to knowledge services device recognizes Card end, if incorrect, returns error reporting；

(2), after knowledge services device certification end receives described ciphertext collection, correspondence is concentrated to access the password code of user's input ciphertext It is decrypted calculating with the ciphertext of identity, extracts password code and the value of identity accessing user's input, then exist Find identity relative recording that password is decrypted calculating in authentication database, if system exists this accesses user's note Record, and the password decrypted is consistent with the password code that family inputs, then judge that described access user, as validated user, will refer to simultaneously Stricture of vagina acquisition instructions, ciphertext collection, this session key and an encryption session random number are sent to knowledge request user side, and knowledge takes Business device certification end preserves identity and association key simultaneously；If there is not this user record, knowledge services device certification end in system Terminal is provided to return error reporting to local service；

(3) instruction of described fingerprint collecting, ciphertext collection, this session key and an encryption session are received when resource request user side After random number, verify that this session key and an encryption session random number are the most correct, if correctly, send finger to accessing user The input instruction of stricture of vagina information, is decrypted calculating, simultaneously by identity with defeated to this session key and encryption session random number The finger print information entered is sent to knowledge services device certification end after being encrypted；If incorrect, send to knowledge services device certification end Illegal report；

(4) during the finger print information of the identity after knowledge services device certification end receives encryption and input, to the body after encryption Part mark is decrypted calculating with the finger print information of input, and the fingerprint that would correspond to identity extracts in data base Compare with the finger print information of input, if the two is identical, then respond access request, if the two differs, return illegal report.

A kind of auto navigation information data sharing method the most according to claim 5, it is characterised in that described to storage use Family identity carries out safety verification, particularly as follows:

(1), when local service provides terminal to receive fingerprint and the identity storing user's input, user's input will be stored Fingerprint and identity are sent to knowledge store certification end after being encrypted；

(2) knowledge store certification end is decrypted calculating to fingerprint and the identity of the storage user's input after encryption, and will Extract in data base corresponding to the fingerprint of identity and compare with the fingerprint storing user's input, if the two phase With, it is determined that this storage user is legal storage user, configures the virtual resource pond corresponding with storage request for legal storage user, If incorrect, terminal is provided to return error reporting to local service.