CN107634829A - Encrypted electronic medical records system and encryption method can search for based on attribute - Google Patents
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Abstract
Encrypted electronic medical records system and encryption method can search for based on attribute the invention discloses a kind of, system includes KDC and cloud storage center, and KDC produces common parameter and master key initializes to system；KDC is that user generates and distributes the key containing user property；Data owner is counted one by one according to access strategy is before set in upload, and cloud storage center is uploaded to after being encrypted；Data access person generates trapdoor according to keyword and close sick key, and inquiry request is provided to cloud storage center；Cloud storage center receives after inquiry request to be judged according to trapdoor and keyword ciphertext come the corresponding encryption data of person that returns to data access.Present invention reduces key management difficulty under multi-user environment, supports data user to carry out keyword to ciphertext and accurately inquire about, can resist keyword guessing attack, effectively prevent the leakage of private data.
Description
Technical field
The present invention relates to cryptological technique in cloud computing, and in particular to a kind of to can search for encrypted electronic case history based on attribute
System and encryption method.
Background technology
With developing rapidly for electronic medical system and cloud computing, many enterprise customers and individual start to arrive Data Migration
Cloud server stores, and avoids cumbersome local data management and obtain more easily to service with this.The appearance of emerging service
Also along with potential safety hazard while bringing advantage to the user, and the data for being stored in cloud, user are not intended to cloud clothes
The employee at business center can arbitrarily inquire about the information of oneself, and now the security of data just becomes particularly important.To ensure data
Safety and privacy of user, data are usually to be stored in the form of ciphertext in cloud server, and traditional encryption technology will be big
After the data encryption of amount is uploaded to high in the clouds, it is difficult to read any cleartext information in the case of without decryption, user will meet
To the problem how to be searched in ciphertext.
In traditional information retrieval, user is more concerned about data to all substantial secrecies beyond retrieval server,
Without being maintained secrecy to server, but server is not necessarily believable, and retrieval server will during user search data
Any content that user is concerned about is obtained easily, and data query and storage provider may also can utilize the sensitive information of user and damage
Evil or the privacy of leakage user, therefore, to ensure the personal secrets of user, also except private data to be prevented is obtained by other people
Prevent server from stealing the private data of user.In view of the above-mentioned problems, one of most popular solution is based on key at present
Word can search for encryption technology, and the program is that develop in recent years a kind of supports user to carry out the close of keyword lookup in ciphertext
Code learns primitive, and it can be that user saves substantial amounts of network and computing cost, and make full use of the huge calculating of cloud server
The keyword that resource is carried out in ciphertext is searched.
With the development of cloud storage, cipher theory also further improves and is constantly employed for actual scene, and one kind is by disease
People controls encryption, the electronic health record scheme that can search for of protection individual privacy to be suggested, but the program needs high key pipe
Cost is managed, search operaqtion need to be interacted repeatedly, and search efficiency is not high.It can be searched based on CP-ABE (ciphertext policy ABE based encryption system)
Rope encipherment scheme solves the problems, such as search efficiency, but key is directly uploaded to cloud service by it in the case of no encryption
Device, the problem of result in Key Exposure.It is then, a kind of to assign search server keyword search encryption attribute scheme to be suggested,
Key Exposure problem is prevented, realizes the access privilege control of keyword search, and offline or online keyword conjecture can be resisted
Attack, but its scheme complexity is high, and in practice, encrypt and the attribute plan more than more than ten will not be set when searching for
Slightly.Encipherment scheme can be retrieved by having scholar to propose a kind of hiding strategy attribute for resisting keyword guessing attack, can be by hidden
The mode for hiding access strategy resists keyword attack, but needs data owner and data user's shared key, and is encrypting
It is relatively low without replacing key, the security of scheme during keyword.
The content of the invention
Encrypted electronic medical records system and encryption method can search for based on attribute it is an object of the invention to provide a kind of.
Realize that the technical scheme of the object of the invention is as follows：It is a kind of that encrypted electronic medical records system, bag can search for based on attribute
Include KDC and cloud storage center；KDC is a third-party server, for generating open parameter, life
Into with distribution key, increase or revocation access privilege；Cloud storage center is used for the storage and retrieval of data；Data owner
Possess increase or recall the authority of its file access person, data access person possesses the attribute set specified and corresponding key；
KDC produces common parameter and master key initializes to system；KDC gives birth to for user
Into and distribute the key containing user property；Data owner counts evidence one by one in upload and before sets access strategy, after being encrypted
It is uploaded to cloud storage center；Data access person generates trapdoor according to keyword and close sick key, and providing inquiry to cloud storage center please
Ask；Cloud storage center receives to judge that person is corresponding to return to data access according to trapdoor and keyword ciphertext after inquiry request
Encryption data.
It is a kind of to can search for encryption method based on can search for encrypted electronic medical records system, comprise the following steps：
(1a) system initialization：KDC generates common parameter and master key；
(1b) key generates：KDC is by common parameter, master key, the attribute of user and tree-like access structure
Generate the key containing user property；
(1c) keyword ciphertext generates：User is generated crucial by common parameter, the specified attribute set possessed and keyword
Word ciphertext；
(1d) keyword trapdoor generates：User by key with keyword into keyword trapdoor, that is, search for token, and this is made
Board is sent to cloud storage center；
(1e) trapdoor matches：After cloud storage center receives the inquiry request of user, according to the close of trapdoor and searching keyword
Text and user property judge whether user meets the tree-like access structure for encrypting file.
Compared with prior art, its distinguishing feature is as follows by the present invention：
(1) computation complexity is small；AES, decipherment algorithm, keyword trapdoor matching algorithm only need one to double twice
Linearly to computing, the calculating requirement of data owner and inquiry are reduced；
(2) fine-granularity access control；The present invention uses the structure of access control tree, and different files have different access plans
Slightly, AES is associated with access control, only meets that the user of corresponding attribute just possesses retrieval permissions；
(3) key safety is high；In this programme, every user possesses different attributes, the private of these attributes and user
Key is associated, i.e., different users possesses independent private key, and the situation of shared key is avoided under multi-user scene, is reduced
The risk that Key Exposure is brought；
(4) it is safe；The difficulty based on q-ABDHE problems of the invention it is assumed that can anti-keyword guessing attack, ensure
Private key for user safety and keyword trapdoor safety；
(5) keyword is disguised；Keyword in Cloud Server is stored with ciphertext form, and user is to Cloud Server
The key word information of submission is submitted in the form of keyword trapdoor, in the interaction that can search for function realization, service
Device can not know keyword cleartext information.
Brief description of the drawings
Fig. 1 is the application scenario diagram of the invention that can search for encrypted electronic medical records system based on attribute.
Fig. 2 is that the present invention can search for encryption method flow chart based on can search for encrypted electronic medical records system.
Fig. 3 is access control tree construction exemplary plot in the present invention.
Embodiment
It is a kind of that encrypted electronic medical records system, including KDC and cloud storage can search for based on attribute with reference to Fig. 1
Center；KDC is a third-party server, for generating open parameter, generation and distribution key, increasing or remove
Sell access privilege；Cloud storage center is used for the storage and retrieval of data；Data owner possesses increase or recalls its file
The authority of visitor, data access person possess the attribute set specified and corresponding key, meet to visit during attribute specification
Ask data；
KDC produces common parameter and master key initializes to system；KDC gives birth to for user
Into and distribute the key containing user property；Data owner counts evidence one by one in upload and before sets access strategy, after being encrypted
It is uploaded to cloud storage center；Data access person generates trapdoor according to keyword and close sick key, and providing inquiry to cloud storage center please
Ask；Cloud storage center receives to judge that person is corresponding to return to data access according to trapdoor and keyword ciphertext after inquiry request
Encryption data.
KDC is increased according to the request of data owner or the access rights of revocation data access person and to cloud
Storage center provides user's cancellation of doucment.
It is a kind of to can search for encryption method based on can search for encrypted electronic medical records system with reference to Fig. 2, comprise the following steps：
(1a) system initialization：KDC generates common parameter Pub and master key Msk；
(1b) key generates：KDC is by common parameter Pub, master key Msk, the attribute γ of user and tree-like
Access structure Γ generates the key Priv containing user propertyx；Attribute includes section office, post, time, patient's inspection project etc.；
(1c) keyword ciphertext generates：User is given birth to by common parameter Pub, the specified attribute set γ possessed and keyword w
Into keyword ciphertext E；
(1d) keyword trapdoor generates：User is by key PrivxWith keyword w into keyword trapdoor Tw, that is, token is searched for,
And this token is sent to cloud storage center；
(1e) trapdoor matches：After cloud storage center receives the inquiry request of user, according to the close of trapdoor and searching keyword
Text and user property judge whether user meets the tree-like access structure for encrypting file.
Further, common parameter Pub and master key Msk represents as follows in step (1a)：
Pub=(g0,g1,g',t1…,tn+1),
Msk=(y, α)；
N is to input the number that property set includes element, g ', t1,…,tn+1It is for the element randomly selected on G, y, αOn
The element randomly selected,g0=gy,g1=gα, g be p rank multiplicative groups G generation member.
Further, tree-like access structure Γ foundation and the key Priv containing user property in step (1b)xLife
Into specially：
(1b1) corresponds to all properties of userIn only element, construct tree-like access structure Γ：From root knot
Point starts, and is that each node x chooses a multinomial q in tree-like access structurex, its exponent number dxMeet dx=kx- 1, kxFor the knot
The threshold value and 0 ＜ k of satisfaction of pointx＜ numx, wherein numxFor the number of child node,
(1b2) makes q to root node rr(0)=y, and qrIn other dxIndividual point randomly selects；
(1b3) represents the father node of x in tree-like access structure Γ, q to non-root node x, parent (x)x(0)=qparent
(index (x)), other dxThe value of individual point defines at random.If meeting Γ (γ)=1, user can decrypt to be encrypted by property set γ
Message；One specific access control tree construction example such as Fig. 3；
(1b4) user x fromIn randomly select rx, for the part D of each leafy node calculating private keyxAnd Rx：
Wherein att (x) represents the property value associated with x, and x is leafy node；Define Lagrange coefficientWhereinS be byThe set that middle element is formed；I, j ∈ { 1 ..., n+1 } are made, it is fixed
Adopted function
(1b5) returns to (α, { Privx}x∈Γ) user is given, wherein the key Priv containing user propertyx=(Dx,Rx)。
Further, in step (1c) keyword ciphertext E generation, carry out as follows：
(1c1) inputs keyword w, fromIn randomly select element s, calculate t=g(α+ω)s, E'=e (g, g')s·e(g0,
g')s, E "=gs, E " '=e (g, g)s,{Ei=T (i)s}i∈γ；
(1c2) with property set γ mark keyword ciphertext E=(γ, t, E', E ", E " ', { Ei}i∈γ)：
E=(γ, t, e (gg0,g')s,gs,e(g,g)s,{Ei=T (i)s}i∈γ)
Further, step (1d) is specially：
User x input keys PrivxWith keyword w, randomly selectOn element r, pass through the Bilinear map meter on group
Calculate keyword trapdoorUser obtains keyword trapdoor.
Further, what step (1e) trapdoor matched concretely comprises the following steps：
(1e1) user is by trapdoorCiphertext E=(γ, t, the e (gg of searching keyword0,
g')s,gs,e(g,g)s,{Ei=T (i)s}i∈γ) and attribute corresponding to node x be sent to cloud storage center；
Is made to node x by following computing for (1e2) cloud storage center：
If x is leafy node, function is defined as follows：
When x is n omicronn-leaf child node, to node x all child node z, note function F (E, Tw, x) output valve be Nz；Order
Meet N in all child node zz=⊥ and size are kxThe collection of node be combined into SxIf nodeExport Nz=⊥, otherwise
Output
(1e3) judges whether the attribute of x nodes meets the attribute Γ (γ)=1 of visiting demand, even x nodes, then cloud is deposited
Storage center carries out keyword trapdoor and the matching of keyword ciphertext：
Calculate F (E, Tw, x) and=e (g0,g)sIfSet up, whereinE′
=e (gg0,g')s, E " '=e (g, g)s, then keyword trapdoor Γ is illustratedwSame keyword corresponding with ciphertext, the match is successful,
Otherwise it fails to match.
Claims (8)
1. a kind of can search for encrypted electronic medical records system based on attribute, it is characterised in that be deposited including KDC and cloud
Storage center；KDC is a third-party server, for generate open parameter, generation and distribution key, increase or
Cancel access privilege；Cloud storage center is used for the storage and retrieval of data；Data owner possesses increase or recalls its text
The authority of part visitor, data access person possess the attribute set specified and corresponding key；
KDC produces common parameter and master key initializes to system；KDC is that user generates simultaneously
Distribute the key containing user property；Data owner is counted one by one according to access strategy is before set in upload, is uploaded after being encrypted
To cloud storage center；Data access person generates trapdoor according to keyword and close sick key, and inquiry request is provided to cloud storage center；Cloud
Storage center receives to judge that person encrypts accordingly to return to data access according to trapdoor and keyword ciphertext after inquiry request
Data.
2. according to claim 1 can search for encrypted electronic medical records system based on attribute, it is characterised in that key is distributed
Center increases or cancelled the access rights of data access person according to the request of data owner and provides user to cloud storage center
Cancellation of doucment.
3. a kind of can search for encryption method based on can search for encrypted electronic medical records system described in claim 1, it is characterised in that
Comprise the following steps：
(1a) system initialization：KDC generates common parameter and master key；
(1b) key generates：KDC is by common parameter, master key, the attribute of user and the generation of tree-like access structure
Key containing user property；
(1c) keyword ciphertext generates：User is close by common parameter, the specified attribute set possessed and keyword generation keyword
Text；
(1d) keyword trapdoor generates：User by key with keyword into keyword trapdoor, that is, search for token, and this token is sent out
Give cloud storage center；
(1e) trapdoor matches：After cloud storage center receives the inquiry request of user, according to the ciphertext of trapdoor and searching keyword with
And user property judges whether user meets the tree-like access structure for encrypting file.
4. according to claim 3 can search for encryption method, it is characterised in that common parameter Pub and master in step (1a)
Key Msk represents as follows：
Pub=(g0,g1,g',t1…,tn+1),
Msk=(y, α)；
N is to input the number that property set includes element, g ', t1,…,tn+1It is for the element randomly selected on G, y, αIt is upper random
The element of selection,g0=gy,g1=gα, g be p rank multiplicative groups G generation member.
5. according to claim 3 can search for encryption method, it is characterised in that tree-like access structure Γ in step (1b)
Foundation and the key Priv containing user propertyxGeneration, be specially：
(1b1) corresponds to all properties of userIn only element, construct tree-like access structure Γ：Opened from root node
Begin, be that each node x chooses a multinomial q in tree-like access structurex, its exponent number dxMeet dx=kx- 1, kxFor the node
Threshold value and 0 ＜ k of satisfactionx＜ numx, wherein numxFor the number of child node,
(1b2) makes q to root node rr(0)=y, and qrIn other dxIndividual point randomly selects；
(1b3) represents the father node of x in tree-like access structure Γ, q to non-root node x, parent (x)x(0)=qparent(index
(x)), other dxThe value of individual point defines at random；If meeting Γ (γ)=1, user can decrypt the message encrypted by property set γ；
(1b4) user x fromIn randomly select rx, for the part D of each leafy node calculating private keyxAnd Rx：
Wherein att (x) represents the property value associated with x, and x is leafy node；Define Lagrange coefficient
WhereinS be byThe set that middle element is formed；Make i, j ∈ { 1 ..., n+1 }, defined function
(1b5) returns to (α, { Privx}x∈Γ) user is given, wherein the key Priv containing user propertyx=(Dx,Rx)。
6. according to claim 3 can search for encryption method, it is characterised in that keyword ciphertext E life in step (1c)
Into carrying out as follows：
(1c1) inputs keyword w, fromIn randomly select element s, calculate t=g(α+ω)s, E'=e (g, g')s·e(g0,g')s,
E "=gs, E " '=e (g, g)s,{Ei=T (i)s}i∈γ；
(1c2) with property set γ mark keyword ciphertext E=(γ, t, E', E ", E " ', { Ei}i∈γ)：
E=(γ, t, e (gg0,g')s,gs,e(g,g)s,{Ei=T (i)s}i∈γ)。
7. according to claim 3 can search for encryption method, it is characterised in that step (1d) is specially：
User x input keys PrivxWith keyword w, randomly selectOn element r, calculated and closed by Bilinear map on group
Keyword trapdoorUser obtains keyword trapdoor.
8. according to claim 3 can search for encryption method, it is characterised in that the specific steps of step (1e) trapdoor matching
For：
(1e1) user is by trapdoorCiphertext E=(γ, t, the e (gg of searching keyword0,g')s,
gs,e(g,g)s,{Ei=T (i)s}i∈γ) and attribute corresponding to node x be sent to cloud storage center；
Is made to node x by following computing for (1e2) cloud storage center：
If x is leafy node, function is defined as follows：
When x is n omicronn-leaf child node, to node x all child node z, note function F (E, Tw, x) output valve be Nz；Order is all
Meet N in child node zz=⊥ and size are kxThe collection of node be combined into SxIf nodeExport Nz=⊥, is otherwise exported
(1e3) judges whether the attribute of x nodes meets the attribute Γ (γ)=1 of visiting demand, even x nodes, then in cloud storage
The heart carries out keyword trapdoor and the matching of keyword ciphertext：
Calculate F (E, Tw, x) and=e (g0,g)sIfSet up, whereinE '=e
(gg0,g')s, E " '=e (g, g)s, then keyword trapdoor Γ is illustratedwSame keyword corresponding with ciphertext, the match is successful, otherwise
It fails to match.
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