CN104092692A - Location privacy protection method based on combination of k-anonymity and service similarity - Google Patents
Location privacy protection method based on combination of k-anonymity and service similarity Download PDFInfo
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Abstract
The invention relates to the field of services based on locations, in particular to a location privacy protection method based on k-anonymity and service similarity. According to the method, based on location k-anonymity, a concept of inquiry service similarity is introduced, the process of inquiry processing is simplified by the similarity, the anonymity processing time is saved, and high-quality services are acquired while the problem of excess anonymity areas is solved. According to the location privacy protection method, the effect of k-anonymity is achieved without sacrificing the service quality of a user, the identity and location information of the user is protected, and communication cost and network loads are greatly lowered while the anonymity and inquiry processing efficiency is improved.
Description
Technical field
The present invention relates to location-based service (Location-based Services, LBS) field, particularly the anonymous location privacy protection method combining with inquiry service similitude of a kind of position-based k-.
Background technology
Along with scientific and technological progress, the development of society, people's living standard and quality of life are improved significantly.Followed by the development of Wireless Telecom Equipment and mobile positioning technique, especially the universal and extensive use of GPS location, FFID location and wireless senser location, people are grown to even greater heights for pursuing the more cry of high standard of living and quality of life, a kind of new research field is arisen at the historic moment---location-based service (Location-Based Services, LBS).Location-based service refers to and uses certain location technology to provide the personalized service relevant with current location for mobile subscriber, it requires user in the time proposing service request to location-based server, the positional information of self must be provided to location-based server, and the positional information that server provides according to user is processed the location-based inquiry of user's proposition and Query Result is returned to user.In the time that mobile subscriber proposes service request to server, server is passed in the not dig of positional information that user obtains oneself by positioner, and server is processed this user's service request according to the positional information receiving.Because server is processed request according to the positional information receiving, therefore user's positional information is more accurate, and the information on services that server returns to user is just more accurate, and the accuracy of user's positional information has determined the service quality of LBS.Along with the arrival of large data age, a large amount of visit datas, share data and the appearance of the method for Extracting Information from data, people, in enjoying the facilitated application that these new technologies bring, also more and more pay close attention to secret protection.
The anonymous method combining with service similitude of position-based k-combines the anonymous advantage with serving similitude of k-, and user can require to formulate personalizing parameters k according to the privacy of oneself, minimum receptible anonymous region area A
min, anonymous server is served as the similar map that middleware processes user's privacy information provides with LBS, and finds and both comprise k user and be greater than A at interior and area according to similitude
minanonymous region A; the anonymous protected mode of k-in the method not only can prevent user's positional information leakage; and can prevent subscriber identity information leakage; and the in the situation that quoting of service similitude can be low in communication cost, query processing is simple and network traffics are little, obtain high-quality service, there will not be the superfluous problem that affects service quality in region.
Summary of the invention
In order to solve the guarantee of service quality in LBS service and the double-barreled question that customer location identity information is protected; the present invention provides a kind of anonymous method combining with service similitude of position-based k-in LBS service; the method not only can ensure that user is served accurately, and can protect user's privacy.
The present invention adopts following scheme to realize: a kind of anonymous method combining with service similitude of position-based k-realizes by following steps:
1. the initialization of system: LBS server is by a city map gridding, sort from the Euclidean distance of all points of interest according to each little lattice, get top-k interest point set and contrast, it is 100% division that map is carried out to similitude, and utilizes gray-scale map to represent interblock similarity.
2. be positioned at the user U of a certain position
idsend the query service request of certain type to server, the privacy requirement that this inquiry request content comprises user, after encrypting and authenticating, personal information file is sent to credible anonymous server by this user.
3. after anonymous server certification is passed through, carry out anonymity processing according to user's privacy requirement and similitude map, send inquiry request with the anonymous region meeting the demands to LBS provider.
Top-k the point of interest of each retrieved in anonymous region by 4.LBS provider, and the union of each top-k point of interest is returned to anonymous server as Query Result Candidate Set.
5. anonymous server receives after Candidate Set according to user's accurate location coordinate, picks out legitimate reading and returns to user.It is 100% service that the method can make user obtain accuracy.
Described similitude refers to that any two positions send request gained Query Result similarity degree, the calculating of similitude, and in the map of gridding, each little lattice has the set of top-k the point of interest of oneself, supposes that the set of certain two lattice top-k point of interest sequence number is C
pand C
q, the similarity of these two little lattice is
similarity is abbreviated as S, and S is between 0 and 1.
Described query processing has been held in LBS provider.Interior top-k the point of interest of region unit of anonymous district inclusion, after receiving anonymous region and query contents, searched for by LBS provider, and the union of each block search result is returned to anonymous server as Candidate Set.
In described step 3, anonymous server is carried out anonymity processing according to user's privacy requirement and similitude map, if do not meet privacy of user requirement, reduce service similarity enlarged area area, until be met the anonymous region A of requirement, after anonymous success with privacy file F '=<U
id', A, Q> sends inquiry request to LBS provider.U
id': represent anonymization subscriber identity information afterwards.This process is anonymous processing procedure.
Described filtration refers to unwanted user information to weed out, and leaves the information that user really wants.The actual position of anonymous server known users, therefore receive after the candidate result collection of sending from LBS provider, picks out legitimate reading and returns to user.
Beneficial effect of the present invention is:
1. the present invention adopts position coordinates and the identity information of position k-anonymity to user to carry out dual anonymity, has protected user's privacy information, and user can be according to the size of the self-defined k value of different demands to information privacy and minimum acceptable anonymous region area A
min.
2. the present invention, by the method for service similitude, carries out piecemeal processing to city map according to inquiry service similitude, in the same area piece the result of arbitrary position enquiring all with the coming to the same thing of other optional positions inquiries.In the time that the region unit at user place does not meet privacy of user and requires, we serve the way of similitude by reduction, look for region that close on and that similitude is the highest with anonymous region and merge with it, until meet the demands.
3. LBS of the present invention provider is in the time processing inquiry, gets the union of top-k point of interest of each pocket in anonymous region as the Candidate Set of Query Result, and the method can ensure the absolute accuracy of Query Result.
The anonymous method combining with service similitude of a kind of position-based k-provided by the invention, algorithm is simple, realizes easily, and offered load is little, and traffic consumes is low, can not only ensure the quality of serving and meanwhile protect user's privacy.
Brief description of the drawings
Fig. 1 is the flow chart of the anonymous method combining with service similitude of a kind of position-based k-of the present invention in LBS.
Fig. 2 is the structure chart of the anonymous method combining with service similitude of a kind of position-based k-of the present invention in LBS.
Embodiment
Below in conjunction with attached Fig. 1 and 2 and embodiment, the present invention will be further described.
1. the initialization of system: LBS server, by a city map gridding, sorts from the Euclidean distance of all points of interest according to each little lattice, gets top-k interest point set and contrasts.LBS server has the coordinate of all points of interest, uses algorithm traversal grid map, gets top-k the point of interest contrast of each grid from the Euclidean distance of all points of interest, and presses similitude 100% by map piecemeal.In order to reduce consumption and the communication overhead of network traffics, utilize gray-scale map to represent interblock similarity.LBS server keeps communicating by letter with anonymous server, once upgrading appears in coordinate of interest points, anonymous server can obtain the gray scale map of renewal at once.This process is the initialization procedure of system.
In an embodiment of the present invention, the anonymous method combining with service similitude of described a kind of position-based k-, it is characterized in that: the calculating of similitude, in the map of gridding, each little lattice has the set of top-k the point of interest of oneself, supposes that the set of certain two lattice top-k point of interest sequence number is C
pand C
q, the similarity of these two little lattice is
similarity is abbreviated as S, and S is between 0 and 1.
2. be positioned at the user U of a certain position
idsend the query service request of certain type to server, the privacy requirement that this inquiry request content comprises user, after encrypting and authenticating, personal information file is sent to credible anonymous server by this user.The user U of a certain position
idsend the query service request of certain type to server, will comprise the personal information file F=<U of privacy setting
id, l, k, Q, A
min> sends to anonymous server.U
id: the identity information that represents user; L=(x, y): represent position when user sends inquiry, the locative longitude of x, the locative latitude of y; K: represent the anonymous degree that user specifies, assailant cannot be distinguished real user in k user; Q: represent the subject content that user need to inquire about; A
min: represent the anonymous region of the acceptable minimum position of user; This process sends service request procedure for user.
In an embodiment of the present invention, the anonymous method combining with service similitude of described a kind of position-based k-, it is characterized in that: in described step 3, anonymous server is carried out anonymity processing according to user's privacy requirement and similitude map, if do not meet privacy of user requirement, reduce service similarity enlarged area area, until be met the anonymous region A of requirement, after anonymous success with privacy file F '=<U
id', A, Q> sends inquiry request to LBS provider.U
id': represent anonymization subscriber identity information afterwards.This process is anonymous processing procedure.
3. after anonymous server certification is passed through, carry out anonymity processing according to user's privacy requirement and similitude map, send inquiry request with the anonymous region meeting the demands to LBS provider.
In step, LBS provider is according to top-k point of interest of anonymous region A (this anonymous region may be one or polylith) the search domain piece receiving, and the union of each region unit top-k point of interest that anonymous region A is comprised returns to anonymous server as the Candidate Set of Query Result.This process is query processing process.
Top-k the point of interest of each retrieved in anonymous region by 4.LBS provider, and the union of each top-k point of interest is returned to anonymous server as Query Result Candidate Set.
5. anonymous server receives after Candidate Set according to user's accurate location coordinate, picks out legitimate reading and returns to user.It is 100% service that the method can make user obtain accuracy.
In step, anonymous server receives after Candidate Set according to user's accurate location coordinate, picks out legitimate reading and returns to user, and the accuracy of this result is up to 100%.This process is filter process.
The foregoing is only preferred embodiment of the present invention, all equalizations of doing according to the present patent application the scope of the claims change and modify, and all should belong to covering scope of the present invention.
Claims (5)
1. based on the anonymous location privacy protection method combining with service similitude of k-, it is characterized in that
1) initialization of system: LBS server is by a city map gridding, sort from the Euclidean distance of all points of interest according to each little lattice, get top-k interest point set and contrast, it is 100% division that map is carried out to similitude, and utilizes gray-scale map to represent interblock similarity;
2) be positioned at the user U of a certain position
idsend the query service request of certain type to server, the privacy requirement that this inquiry request content comprises user, after encrypting and authenticating, personal information file is sent to credible anonymous server by this user;
3) after anonymous server certification is passed through, carry out anonymity processing according to user's privacy requirement and similitude map, send inquiry request with the anonymous region meeting the demands to LBS provider;
4) top-k the point of interest of each retrieved in anonymous region by LBS provider, and the union of each top-k point of interest is returned to anonymous server as Query Result Candidate Set;
5) anonymous server receives after Candidate Set according to user's accurate location coordinate, picks out legitimate reading and returns to user.It is 100% service that the method can make user obtain accuracy.
2. according to claim 1 a kind of based on the anonymous location privacy protection method combining with service similitude of k-; it is characterized in that described similitude refers to that any two positions send request gained Query Result similarity degree; the calculating of similitude; in the map of gridding; each little lattice has the set of top-k the point of interest of oneself, supposes that the set of certain two lattice top-k point of interest sequence number is C
pand C
q, the similarity of these two little lattice is
similarity is abbreviated as S, and S is between 0 and 1.
3. according to claim 1 a kind of based on the anonymous location privacy protection method combining with service similitude of k-; it is characterized in that described anonymous processing; if do not meet privacy of user requirement; reduce service similarity enlarged area area; until be met the anonymous region A of requirement, after anonymous success with privacy file F '=<U
id', A, Q> sends inquiry request, U to LBS provider
id': represent anonymization subscriber identity information afterwards, this process is anonymous processing procedure.
4. according to claim 1 a kind of based on the anonymous location privacy protection method combining with service similitude of k-; query processing described in it is characterized in that has been held in LBS provider; LBS provider is after receiving anonymous region and query contents; interior top-k the point of interest of region unit of searching for anonymous district inclusion, returns to anonymous server using the union of each block search result as Candidate Set.
5. the anonymous method combining with service similitude of a kind of position-based k-according to claim 1, it is characterized in that: filter and refer to unwanted user information to weed out, leave the information that user really wants, the actual position of anonymous server known users, therefore receive after the candidate result collection of sending from LBS provider, pick out legitimate reading and return to user.
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| CN104731860A (en) * | 2015-02-04 | 2015-06-24 | 北京邮电大学 | Space keyword query method protecting privacy |
| CN104796858A (en) * | 2015-03-23 | 2015-07-22 | 电子科技大学 | False location- and geometry-based location privacy protecting method in location service |
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| CN105792130A (en) * | 2016-03-03 | 2016-07-20 | 南京邮电大学 | Mass equal request-oriented k-anonymous location privacy protection method |
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| CN109886046A (en) * | 2019-02-25 | 2019-06-14 | 广东工业大学 | A kind of location privacy protection method and system |
| WO2020177326A1 (en) * | 2019-03-05 | 2020-09-10 | 华南理工大学 | Searchable encryption method supporting location protection and query privacy |
| CN110263576A (en) * | 2019-06-24 | 2019-09-20 | 福建师范大学 | A kind of location-based service method for secret protection based on the similar map of γ- |
| CN110263576B (en) * | 2019-06-24 | 2022-06-17 | 福建师范大学 | Position service privacy protection method based on gamma-similar map |
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Effective date of registration: 20190411 Address after: 351154 1688 East Round Island Road, Meizhou Island, Xiuyu District, Putian City, Fujian Province Patentee after: Fujian Smart City Big Data Operation Co., Ltd. Address before: 350108 science and Technology Department, Fujian Normal University, Minhou, Fuzhou, Fujian Patentee before: Fujian Normal University |