CN105844168B - Method for secret protection and device for intelligent perception - Google Patents
Method for secret protection and device for intelligent perception Download PDFInfo
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- CN105844168B CN105844168B CN201510018797.2A CN201510018797A CN105844168B CN 105844168 B CN105844168 B CN 105844168B CN 201510018797 A CN201510018797 A CN 201510018797A CN 105844168 B CN105844168 B CN 105844168B
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Abstract
The present invention discloses a kind of method for secret protection and device for intelligent perception, is able to solve the problem of prior art cannot protect the privacy information of user.The described method includes: obtaining the intelligent perception data of user, and hidden Markov model is established according to the intelligent perception data of the user；The hidden Markov model is trained, determines the intelligent perception data for upload；Wherein, it is described for upload intelligent perception data be the user intelligent perception data in can protect the maximum intelligent perception data of information available quantity included in the intelligent perception data of privacy information；The intelligent perception data for being used to upload are sent to intelligent perception server.
Description
Technical field
The present invention relates to intelligent perception technical fields, and in particular to a kind of method for secret protection and dress for intelligent perception
It sets.
Background technique
In recent years, as the sensor being equipped on smart phone is more and more, intelligent perception technology is rapidly developed.Due to group
The available large-scale statistical data of intelligence cognition technology and carry out measurement in all scales, intelligent perception technology by
The every field being applied in people's life, such as publilc health, public safety, traffic monitoring etc..Typical intelligent perception application
By great amount of terminals, mobile phone user is formed, they spread over each corner in city, (such as by the various kinds of sensors that is equipped on mobile phone
Acceleration transducer, optical sensor, gyroscope, GPS etc.) record present position characteristic, and the use uploaded in real time
The characteristic of family position gives intelligent perception server, and server is obtaining great amount of terminals user in the feature of different location
After data, data processing and data analysis are carried out, to provide respective services required for user.
Although having there is the application of a large amount of intelligent perception at present, want to obtain intelligent perception because user generally has
Using provided service, but it is unwilling to provide the idea of privacy information (such as location information), this results in user may be upper
False data are hidden or uploaded when passing intelligent perception data.In this case, for service providing end, just
It is difficult to be collected into the data of a large amount of high quality, to also be difficult to provide quality services.
Based on considering for privacy of user protection, occurs the technology of some protection privacy informations now, is broadly divided into four classes:
First kind technology is that independent noise is added in the intelligent perception data that user uploads；Second class technology is by privacy information
It is hidden in volume of data and (for example, user does not upload accurate location information, but uploads the position letter in a region
Breath)；Three types of technology is calculated based on multi-party, and this kind of technology depends on the cooperated computing of multiple uploaders and service providing end；
4th class technology is homomorphic cryptography, and this kind of technology allows service providing end to obtain some systems in the case where not knowing initial data
The data of meter.
However, there is no consider more powerful attacker, this kind of attack for the technology of these existing protection privacy informations
Person can obtain the intelligent perception data of user's upload, and establish inference pattern by effective hidden Markov model to obtain
The space-time relationship in the presence of the intelligent perception data of family upload is taken, and gets the privacy information of user in turn.
Summary of the invention
The problem of the technical problem to be solved by the present invention is to the privacy informations that the prior art cannot protect user.
For this purpose, the present invention proposes a kind of method for secret protection for intelligent perception, comprising:
The intelligent perception data of user are obtained, and establish hidden Markov mould according to the intelligent perception data of the user
Type；
The hidden Markov model is trained, determines the intelligent perception data for upload；Wherein, the use
The intelligent perception data of privacy information can be protected in the intelligent perception data that the intelligent perception data of upload are the user
Included in the maximum intelligent perception data of information available quantity；
The intelligent perception data for being used to upload are sent to intelligent perception server.
The embodiment of the present invention is used for the method for secret protection of intelligent perception, firstly, the intelligent perception data of user are obtained, and
Hidden Markov model is established according to the intelligent perception data of the user, then, the hidden Markov model is instructed
Practice, determines that information included in the intelligent perception data of privacy information can be protected in the intelligent perception data of the user
The maximum intelligent perception data of available quantity, and using the intelligent perception data determined as be used for upload intelligent perception data,
Finally, the intelligent perception data for being used to upload are sent to intelligent perception server, this allows for attacker and allows to
The intelligent perception data that user uploads are obtained, can know the hidden Markov model that the embodiment of the present invention is established, it can not
The privacy information of user is effectively inferred, so as to protect the privacy information of user, meanwhile, it is capable to ensure that user gets
Good service provided by intelligent perception ISP.
On the other hand, the present invention proposes a kind of privacy protection device for intelligent perception, comprising:
Model foundation unit, for obtaining the intelligent perception data of user, and according to the intelligent perception data of the user
Establish hidden Markov model；
Determination unit determines the intelligent perception number for upload for being trained to the hidden Markov model
According to；Wherein, it is described for upload intelligent perception data be the user intelligent perception data in can protect privacy information
Intelligent perception data included in the maximum intelligent perception data of information available quantity；
Transmission unit, for the intelligent perception data for being used to upload to be sent to intelligent perception server.
The embodiment of the present invention is used for the privacy protection device of intelligent perception, firstly, the intelligent perception data of user are obtained, and
Hidden Markov model is established according to the intelligent perception data of the user, then, the hidden Markov model is instructed
Practice, determines that information included in the intelligent perception data of privacy information can be protected in the intelligent perception data of the user
The maximum intelligent perception data of available quantity, and using the intelligent perception data determined as be used for upload intelligent perception data,
Finally, the intelligent perception data for being used to upload are sent to intelligent perception server, this allows for attacker and allows to
The intelligent perception data that user uploads are obtained, can know the hidden Markov model that the embodiment of the present invention is established, it can not
The privacy information of user is effectively inferred, so as to protect the privacy information of user, meanwhile, it is capable to ensure that user gets
Good service provided by intelligent perception ISP.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of one embodiment of method for secret protection for intelligent perception of the present invention；
Fig. 2 is a kind of frame structure schematic diagram of one embodiment of privacy protection device for intelligent perception of the present invention；
Fig. 3 is the frame structure schematic diagram of one embodiment of determination unit in Fig. 2.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
As shown in Figure 1, the present embodiment discloses a kind of method for secret protection for intelligent perception, comprising:
S1, the intelligent perception data for obtaining user, and hidden Markov is established according to the intelligent perception data of the user
Model；
S2, the hidden Markov model is trained, determines the intelligent perception data for upload；Wherein, institute
It states for the intelligent perception of privacy information can be protected in intelligent perception data that the intelligent perception data of upload are the user
The maximum intelligent perception data of information available quantity included in data；
S3, the intelligent perception data for being used to upload are sent to intelligent perception server.
The embodiment of the present invention is used for the method for secret protection of intelligent perception, firstly, the intelligent perception data of user are obtained, and
Hidden Markov model is established according to the intelligent perception data of the user, then, the hidden Markov model is instructed
Practice, determines that information included in the intelligent perception data of privacy information can be protected in the intelligent perception data of the user
The maximum intelligent perception data of available quantity, and using the intelligent perception data determined as be used for upload intelligent perception data,
Finally, the intelligent perception data for being used to upload are sent to intelligent perception server, this allows for attacker and allows to
The intelligent perception data that user uploads are obtained, can know the hidden Markov model that the embodiment of the present invention is established, it can not
The privacy information of user is effectively inferred, so as to protect the privacy information of user, meanwhile, it is capable to ensure that user gets
Good service provided by intelligent perception ISP.
Optionally, in another embodiment in the present invention for the method for secret protection of intelligent perception, with hidden Markov
Hidden state sequence in modelTo indicate the privacy information of user, observation state sequenceTo indicate the intelligent perception data of the user, the hidden state transfer of the hidden Markov model
Probability matrix A={ aij, aij=P (Sj|Si) indicate from the hidden state sequenceIn i-th of hidden state SiTo j-th
Hidden state SjTransition probability, the observation state transition probability matrix B={ b of the hidden Markov modelij, bij=P (Ti
|Sj) indicate in the hidden state sequenceIn j-th of hidden state SjIn the case where, observation state is the observation state sequence
ColumnIn i-th of observation state TiProbability, initial state probabilities matrix Π={ π of the hidden Markov modeli, πiTable
Show the hidden state sequenceFirst value be the hidden state sequenceIn i-th of hidden state SiProbability；Its
In, M, N, i and j are integer.
Optionally, in another embodiment in the present invention for the method for secret protection of intelligent perception, described pair to described
Hidden Markov model is trained, and determines the intelligent perception data for upload, comprising:
Based on the hidden Markov model, any one the intelligent perception data that can be uploaded for userIt is determined using viterbi algorithmWith P [Si], judge following formula
It is whether true；
Described in meetingThe intelligent perception data that can upload of userCalculate the intelligent perception data that the user can uploadIncluded
Information available quantityFormula is as follows:
Wherein, describedIn i-th of data OiEqual to the observation state sequenceIn i-th of observation state TiOr
Null value, it is describedFor known describedIn the case where determine the hidden state sequenceIn i-th of implicit shape
State SiProbability, the P [Si] it is unknown describedIn the case where determine the hidden state sequenceIn i-th it is implicit
State SiProbability, the δ be a pre-set constant value, the x is describedIn be not empty data bulk；
The information available quantity determined is compared, determines the maximum information available quantity in the information available quantity
The intelligent perception data that corresponding user can upload are the intelligent perception data for upload.
In the embodiment of the present invention, the setting of the value of δ it is smaller, attacker is just more difficult to deduce the privacy information of user.This hair
The intelligent perception data for upload determined in bright embodiment can be while protecting privacy information, the letter that holds up to
Breath amount, so as to user by the intelligent perception data of acquisition it is more as far as possible upload to intelligent perception server.
Optionally, in another embodiment in the present invention for the method for secret protection of intelligent perception, the hidden state
SequenceFirst value be the hidden state sequenceIn i-th of hidden state SiProbability
As shown in Fig. 2, the present embodiment discloses a kind of privacy protection device for intelligent perception, comprising:
Model foundation unit 1, for obtaining the intelligent perception data of user, and according to the intelligent perception data of the user
Establish hidden Markov model；
Determination unit 2 determines the intelligent perception number for upload for being trained to the hidden Markov model
According to；Wherein, it is described for upload intelligent perception data be the user intelligent perception data in can protect privacy information
Intelligent perception data included in the maximum intelligent perception data of information available quantity；
Transmission unit 3, for the intelligent perception data for being used to upload to be sent to intelligent perception server.
The embodiment of the present invention is used for the privacy protection device of intelligent perception, firstly, the intelligent perception data of user are obtained, and
Hidden Markov model is established according to the intelligent perception data of the user, then, the hidden Markov model is instructed
Practice, determines that information included in the intelligent perception data of privacy information can be protected in the intelligent perception data of the user
The maximum intelligent perception data of available quantity, and using the intelligent perception data determined as be used for upload intelligent perception data,
Finally, the intelligent perception data for being used to upload are sent to intelligent perception server, this allows for attacker and allows to
The intelligent perception data that user uploads are obtained, can know the hidden Markov model that the embodiment of the present invention is established, it can not
The privacy information of user is effectively inferred, so as to protect the privacy information of user, meanwhile, it is capable to ensure that user gets
Good service provided by intelligent perception ISP.
Optionally, in another embodiment in the present invention for the privacy protection device of intelligent perception, with hidden Markov
Hidden state sequence in modelTo indicate the privacy information of user, observation state sequenceTo indicate the intelligent perception data of the user, the hidden state turn of the hidden Markov model
Move probability matrix A={ aij, aij=P (Sj|Si) indicate from the hidden state sequenceIn i-th of hidden state SiTo jth
A hidden state SjTransition probability, the observation state transition probability matrix B={ b of the hidden Markov modelij, bij=P
(Ti|Sj) indicate in the hidden state sequenceIn j-th of hidden state SjIn the case where, observation state is the observation shape
State sequenceIn i-th of observation state TiProbability, initial state probabilities matrix Π={ π of the hidden Markov modeli,
πiIndicate the hidden state sequenceFirst value be the hidden state sequenceIn i-th of hidden state SiIt is general
Rate；Wherein, M, N, i and j are integer.
Optionally, referring to Fig. 3, described in another embodiment in the present invention for the privacy protection device of intelligent perception
Determination unit 2, comprising:
First computation subunit 20 can upload user any one for being based on the hidden Markov model
Kind gunz perception dataIt is determined using viterbi algorithmWith P [Si], judge following
FormulaIt is whether true；
Second computation subunit 21, for for described in satisfactionThe gunz sense that can upload of user
Primary dataCalculate the intelligent perception data that the user can uploadInstitute
The information available quantity for includingFormula is as follows:
Wherein, describedIn i-th of data OiEqual to the observation state sequenceIn i-th of observation state TiOr
Null value, it is describedFor known describedIn the case where determine the hidden state sequenceIn i-th of implicit shape
State SiProbability, the P [Si] it is unknown describedIn the case where determine the hidden state sequenceIn i-th it is implicit
State SiProbability, the δ be a pre-set constant value, the x is describedIn be not empty data bulk；
It determines subelement 22, for the information available quantity determined to be compared, determines the information available quantity
In maximum information available quantity corresponding to the intelligent perception data that can upload of user be the intelligent perception for upload
Data.
In the embodiment of the present invention, the setting of the value of δ it is smaller, attacker is just more difficult to deduce the privacy information of user.This hair
The intelligent perception data for upload determined in bright embodiment can be while protecting privacy information, the letter that holds up to
Breath amount, so as to user by the intelligent perception data of acquisition it is more as far as possible upload to intelligent perception server.
Optionally, in another embodiment in the present invention for the privacy protection device of intelligent perception, the hidden state
SequenceFirst value be the hidden state sequenceIn i-th of hidden state SiProbability
Although the embodiments of the invention are described in conjunction with the attached drawings, but those skilled in the art can not depart from this hair
Various modifications and variations are made in the case where bright spirit and scope, such modifications and variations are each fallen within by appended claims
Within limited range.
Claims (6)
1. a kind of method for secret protection for intelligent perception characterized by comprising
The intelligent perception data of user are obtained, and establish hidden Markov model according to the intelligent perception data of the user；
The hidden Markov model is trained, determines the intelligent perception data for upload；Wherein, described to be used for
Institute in intelligent perception data of the intelligent perception data of biography for privacy information can be protected in the intelligent perception data of the user
The maximum intelligent perception data of the information available quantity for including；
The intelligent perception data for being used to upload are sent to intelligent perception server；
With the hidden state sequence in hidden Markov modelTo indicate the privacy information of user, observation shape
State sequenceTo indicate the intelligent perception data of the user, the implicit shape of the hidden Markov model
State transition probability matrix A={ aij, aij=P (Sj|Si) indicate from the hidden state sequenceIn i-th of hidden state SiIt arrives
J-th of hidden state SjTransition probability, the observation state transition probability matrix B={ b of the hidden Markov modelij, bij
=P (Ti|Sj) indicate in the hidden state sequenceIn j-th of hidden state SjIn the case where, observation state is the observation
Status switchIn i-th of observation state TiProbability, the initial state probabilities matrix Π of the hidden Markov model=
{πi, πiIndicate the hidden state sequenceFirst value be the hidden state sequenceIn i-th of hidden state Si's
Probability；Wherein, M, N, i and j are integer.
2. the method for secret protection according to claim 1 for intelligent perception, which is characterized in that described to the hidden horse
Er Kefu model is trained, and determines the intelligent perception data for upload, comprising:
Based on the hidden Markov model, any one the intelligent perception data that can be uploaded for user
It is determined using viterbi algorithmWith P [Si], judge following formulaIt is whether true；
Described in meetingThe intelligent perception data that can upload of user
Calculate the intelligent perception data that the user can uploadThe information available quantity for being included
Formula is as follows:
Wherein, describedIn i-th of data OiEqual to the observation state sequenceIn i-th of observation state TiOr null value, institute
It statesFor known describedIn the case where determine the hidden state sequenceIn i-th of hidden state SiIt is general
Rate, the P [Si] it is unknown describedIn the case where determine the hidden state sequenceIn i-th of hidden state Si's
Probability, the δ are a pre-set constant value, and the x is describedIn be not empty data bulk；
The information available quantity determined is compared, determines that the maximum information available quantity institute in the information available quantity is right
The intelligent perception data that the user answered can upload are the intelligent perception data for upload.
3. the method for secret protection according to claim 1 for intelligent perception, which is characterized in that the hidden state sequence
ColumnFirst value be the hidden state sequenceIn i-th of hidden state SiProbability
4. a kind of privacy protection device for intelligent perception characterized by comprising
Model foundation unit is established for obtaining the intelligent perception data of user, and according to the intelligent perception data of the user
Hidden Markov model；
Determination unit determines the intelligent perception data for upload for being trained to the hidden Markov model；Its
In, the intelligent perception data for upload be the user intelligent perception data in can protect the gunz of privacy information
The maximum intelligent perception data of information available quantity included in perception data；
Transmission unit, for the intelligent perception data for being used to upload to be sent to intelligent perception server；
With the hidden state sequence in hidden Markov modelTo indicate the privacy information of user, observation shape
State sequenceTo indicate the intelligent perception data of the user, the implicit shape of the hidden Markov model
State transition probability matrix A={ aij, aij=P (Sj|Si) indicate from the hidden state sequenceIn i-th of hidden state SiIt arrives
J-th of hidden state SjTransition probability, the observation state transition probability matrix B={ b of the hidden Markov modelij, bij
=P (Ti|Sj) indicate in the hidden state sequenceIn j-th of hidden state SjIn the case where, observation state is the observation
Status switchIn i-th of observation state TiProbability, the initial state probabilities matrix Π of the hidden Markov model=
{πi, πiIndicate the hidden state sequenceFirst value be the hidden state sequenceIn i-th of hidden state Si's
Probability；Wherein, M, N, i and j are integer.
5. the privacy protection device according to claim 4 for intelligent perception, which is characterized in that the determination unit,
Include:
First computation subunit, for being based on the hidden Markov model, any one gunz that can be uploaded for user
Perception dataIt is determined using viterbi algorithmWith P [Si], judge following formulaIt is whether true；
Second computation subunit, for for described in satisfactionThe intelligent perception that can upload of user
DataCalculate the intelligent perception data that the user can uploadIt is wrapped
The information available quantity containedFormula is as follows:
Wherein, describedIn i-th of data OiEqual to the observation state sequenceIn i-th of observation state TiOr null value,
It is describedFor known describedIn the case where determine the hidden state sequenceIn i-th of hidden state Si's
Probability, the P [Si] it is unknown describedIn the case where determine the hidden state sequenceIn i-th of hidden state Si
Probability, the δ be a pre-set constant value, the x is describedIn be not empty data bulk；
It determines subelement, for the information available quantity determined to be compared, determines in the information available quantity most
The intelligent perception data that user corresponding to big information available quantity can upload are the intelligent perception data for upload.
6. the privacy protection device according to claim 4 for intelligent perception, which is characterized in that the hidden state sequence
ColumnFirst value be the hidden state sequenceIn i-th of hidden state SiProbability
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197889A (en) * | 2017-12-28 | 2018-06-22 | 吉林大学 | A kind of intelligent perception user recruitment method and system based on mobility prediction |
| CN108494760A (en) * | 2018-03-14 | 2018-09-04 | 安徽大学 | A kind of intelligent perception true value discovery method of protection privacy |
| CN109214205B (en) * | 2018-08-01 | 2021-07-02 | 安徽师范大学 | K-anonymity-based position and data privacy protection method in crowd-sourcing perception |
| CN109347829B (en) * | 2018-10-23 | 2020-06-26 | 北京理工大学 | Group intelligence perception network truth value discovery method based on privacy protection |
| CN111093191B (en) * | 2019-12-11 | 2022-09-23 | 南京邮电大学 | Crowd sensing position data issuing method based on differential privacy |
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