CN102202037A - Information publishing system - Google Patents
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- CN102202037A CN102202037A CN2010101312977A CN201010131297A CN102202037A CN 102202037 A CN102202037 A CN 102202037A CN 2010101312977 A CN2010101312977 A CN 2010101312977A CN 201010131297 A CN201010131297 A CN 201010131297A CN 102202037 A CN102202037 A CN 102202037A
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Abstract
The invention relates to information processing and transmission technologies, in particular to a network information publishing system, which comprises a network server, a transmission network and each user terminal. The information publishing system is characterized in that: the network server comprises a receiving unit, a decryptor, a filtering unit and a transmission unit; and each user terminal comprises a terminal server and an encryptor. In the information publishing system, the encryptors are arranged in the user terminals, so that user information transmitted in the network is difficult to acquire by others, the security of the network is relatively better maintained, the privacy security of the user is ensured, and the user can more securely perform network information transmission. In addition, the additional filtering unit judges a target user by specific keywords and user characteristic data, and can judge user behavior characteristics from a plurality of angles of user behaviors and adopt different processing ways according to different target users so as to improve the target user information identification accuracy and enhance a user information security mechanism.
Description
Technical field
The present invention relates to information processing and transmission technology, particularly relate to a kind of network information delivery system.
Background technology
Computer technology rapid development makes deal with data become possibility, this has just promoted the very big development of database technology, but in the face of ever-increasing data, it is powerless to have seemed with regard to database technology, equally, traditional statistical technique has also faced great challenge, and this handles data as these magnanimity with regard to being badly in need of having new method.In the prior art, the form of transmitting information by the Internet more and more widely, as, transmit various information or on the network forum, release news by immediate communication tool, mail.Yet some information is that the user does not wish to receive or law is forbidden issuing in this category information, therefore need filter this category information.At present, the method for filtering user information is directly to judge according to keyword, when corresponding keyword has appearred in user profile, just judges that the user is the targeted customer.But the prior art scheme only utilizes keyword that information is mated, and can't can cause very high mistake to grab rate from get on analytical information or user's feature of other angles.
In addition; because information does not have cryptographic means in transmittance process in the prior art, causes lawless people to utilize network can intercept and capture this information, the fail safe of the information content is threatened; user's privacy can't obtain better protect, can not fully satisfy the needs that are used for.
Summary of the invention
The invention provides a kind of information issuing system, issue unsafe drawback in order to solve in the present network information, and by consider concrete keyword contained in the user profile and with user-dependent characteristic, go to judge targeted customer's feature from a plurality of angles of user behavior, and adopt the different disposal mode according to the different target user, improve the accuracy rate of targeted customer's information Recognition, strengthened user information safety mechanism.
A kind of information filtering system that the present invention proposes, comprise the webserver, transmission network and each user terminal, it is characterized in that: the described webserver comprises receiving element, decipher, filter element and transmitting element, described each user terminal comprises terminal server and encryption equipment, and the user calls cryptographic algorithm by encryption equipment after by the terminal server input information and information is encrypted the back forms ciphertext; Connect the receiving element of encryption equipment in the user terminal, be used to receive ciphertext and the encryption key that encryption equipment sends, and it is transmitted to decipher; The decipher that connects data storage cell is used for calling decipherment algorithm elder generation decryption key after reception information, separate ciphertext again; The filter element that connects decipher is used to receive the plaintext through deciphering, and judges that whether information is effective, falls undesirable information filtering; The transmitting element that connects filter element is used for the effective information after filtering is issued by transmission network, and described filter element comprises:
Module is set, is used to be provided with the corresponding relation of the filter type of user's keyword, characteristic and targeted customer's information;
Acquisition module is used to obtain targeted customer's keyword and characteristic;
Filtering module is used for the filter type of searching described corresponding relation according to described targeted customer's keyword and characteristic, according to described filter type described targeted customer's information filtered,
Wherein, the described module that is provided with specifically comprises:
Parameter generates submodule, is used for the keyword and the characteristic of target setting information that the user sends, and according to described keyword and characteristic, generates described targeted customer's characteristic parameter;
Filter submodule, be used for filtering the irregular numerical value of the characteristic parameter that described parameter generation module generates;
Rule generates submodule, is used for generating the filter type to described targeted customer's information according to the characteristic parameter after the described filtering module filtration.
Wherein, described parameter generation submodule specifically comprises:
Recognition unit is used for discerning the valid data of described characteristic;
Selected cell is used for the valid data according to described recognition unit identification, selects the sample of users among the described targeted customer;
Computing unit is used for the characteristic according to the selected sample of users of described selected cell, calculates described targeted customer's characteristic parameter.
Wherein, described filtration submodule specifically comprises:
First filter element, the missing values that is used for replacing described characteristic parameter is the replacement value;
Second filter element, the numerical value that does not meet format convention that is used for replacing described characteristic parameter is regular numerical value.
Wherein, described rule generation submodule specifically comprises:
Parameter selection unit, the characteristic parameter that is used for after described filtering module filters selects one or more characteristic parameters to generate parameter for rule;
The rule computing unit by adjusting filter type, generates parameter according to the selected rule of described parameter chooser module, generates a plurality of filter types;
The rule selected cell is used for a plurality of filter types in described regular computing unit generation, and selecting the highest filter type of accuracy rate is described targeted customer's filter type.
Compared with prior art, the present invention has the following advantages:
1) because the present invention has increased encryption equipment at user terminal, make that transmitting subscriber identify can not be obtained by other people easily in the network, safeguarded network security preferably, guaranteed that user's privacy is difficult for leaking, made the user can carry out network information transfer more relievedly.
2) the present invention has adopted filter element, this filter element is judged the targeted customer by concrete keyword and user characteristic data etc., can judge the user behavior feature from a plurality of angles of user behavior, and adopt different processing modes according to different targeted customers, improve the accuracy rate of targeted customer's information Recognition, strengthened user information safety mechanism.
Description of drawings
Fig. 1 is an information issuing system structure chart of the present invention;
Fig. 2 is the flow chart of information issuing method of the present invention;
Fig. 3 is the flow chart of method for filtering user information among the present invention;
Fig. 4 is provided with user's keyword, characteristic and to the corresponding relation particular flow sheet of the filter type of targeted customer's information among the present invention;
Fig. 5 is the structure chart of filter element.
Embodiment
Below in conjunction with accompanying drawing information issuing system of the present invention is further described in detail.
As shown in Figure 1, this system comprises the webserver 1, a plurality of user terminal 2 and transmission network 3, the described webserver 1 comprises receiving element 11, decipher 12, filter element 13 and transmitting element 14, described each user terminal 2 comprises terminal server 21 and encryption equipment 22, and the user calls cryptographic algorithm by encryption equipment 22 after by terminal server 21 input informations and information is encrypted the back forms ciphertext; Receiving element 11 in the described webserver 1 is connected with encryption equipment in the user terminal 2, and receiving element 11 is used to receive ciphertext and the encryption key that encryption equipment 22 sends, and it is transmitted to decipher 12; The decipher 12 that connects receiving element 11 is used for calling decipherment algorithm elder generation decryption key after reception information, separate ciphertext again; The filter element 13 that connects decipher 12 is used to receive the plaintext through deciphering, and judges that whether information is effective, falls undesirable information filtering; The transmitting element 14 that connects filter element 13 is used for the effective information after filtering is issued by transmission network.
Described encryption equipment 22, be used for the legal information that receiving terminal server 21 sends, calling cryptographic algorithm encrypts the information of user's input, plain text encryption is become ciphertext, and call the key stored or generate key, ciphertext and key are together sent to the receiving element of the webserver according to certain condition.
Described key can be the key that has been kept in the local system, also can generate key according to certain condition when each transmission information.In order to guarantee that client's receiving terminal can untie key normally, must keep the cryptographic algorithm of described client sending end consistent, so instantaneous communication system does not carry out regular upgrading to key with the decipherment algorithm of client's receiving terminal.
Described decipher 12 is used to receive ciphertext and the key that encryption equipment 22 sends, and calls corresponding decipherment algorithm, solves key earlier, decrypt ciphertext is become expressly again, and plaintext is sent to filter element.
As shown in Figure 5, filter element 13 comprises module 130, acquisition module 131 and filtering module 132 is set.Describedly be provided with that module 130 is used to be provided with user's keyword, characteristic and to the corresponding relation of the filter type of targeted customer's information; Described acquisition module 131 is used to obtain targeted customer's keyword and characteristic; Described filtering module 132 is used for the filter type of searching described corresponding relation according to described targeted customer's keyword and characteristic, according to described filter type described targeted customer's information is filtered.
Module 130 is set specifically to be comprised: parameter generates submodule 130a, is used for the keyword and the characteristic of target setting information that the user sends, and according to described keyword and characteristic, generates described targeted customer's characteristic parameter; Filter submodule 130b, be used for filtering the irregular numerical value of the characteristic parameter that described parameter generation module generates; Rule generates submodule 130c, is used for generating the filter type to described targeted customer's information according to the characteristic parameter after the described filtering module filtration.
Wherein, parameter generates submodule 130a and specifically comprises: recognition unit is used for discerning the valid data of described characteristic; Selected cell is used for the valid data according to described recognition unit identification, selects the sample of users among the described targeted customer; Computing unit is used for the characteristic according to the selected sample of users of described selected cell, calculates described targeted customer's characteristic parameter.
Filtering submodule 130b specifically comprises: first filter element, and the missing values that is used for replacing described characteristic parameter is the replacement value; Second filter element, the numerical value that does not meet format convention that is used for replacing described characteristic parameter is regular numerical value.
Rule generates submodule 130c and specifically comprises: parameter selection unit, and the characteristic parameter that is used for after described filtering module filters selects one or more characteristic parameters to generate parameter for rule; The rule computing unit by adjusting filter type, generates parameter according to the selected rule of described parameter chooser module, generates a plurality of filter types; The rule selected cell is used for a plurality of filter types in described regular computing unit generation, and selecting the highest filter type of accuracy rate is described targeted customer's filter type.
Filtering module 132 specifically comprises: search submodule 132a, be used for the filter type of searching described corresponding relation according to described targeted customer's keyword and characteristic; Filter submodule 132b, be used for described targeted customer's information being filtered according to described filter type; Judge module 132c is used for the filter type according to described targeted customer, for described targeted customer's score, when described user's scoring value surpasses preset threshold value, triggers and filters submodule 132b.
Information issuing system of the present invention realizes by following method, as shown in Figure 2, may further comprise the steps:
Step 201, the user is by terminal server 21 input informations, and encryption equipment 22 receives information and by calling cryptographic algorithm information is encrypted back formation ciphertext from terminal server 21, calls the key that has been stored in terminal server 21 simultaneously or generates key;
If information belongs to static file, encryption equipment 22 is encrypted it after can receiving complete information again, and ciphertext is sent to receiving element 11 in the webserver; If static file is excessive, also can be divided into several packets and send, encryption equipment 22 is encrypted each packet or every several packet, forms several incomplete relatively ciphertexts, sends to the receiving element 11 of the webserver more respectively; If information belongs to living document, the many form transmission of living document with Streaming Media, encryption equipment 22 is just encrypted it after can receiving the part files in stream media, forms incomplete relatively ciphertext, incomplete relatively ciphertext is sent to the receiving element 11 of the webserver by transmitting element 104; Again it is encrypted after also can receiving complete files in stream media, form complete ciphertext, complete ciphertext is sent to the receiving element 11 of the webserver.
If a plurality of ciphertexts are arranged, then a ciphertext is used a key, and perhaps a plurality of ciphertexts are used same key.Safer for network, ciphertext is with a key in the present embodiment.
Step 202, encryption equipment 22 is sent to receiving element 11 in the webserver 1 with ciphertext and key;
Step 203, receiving element 11 is sent to decipher 12 with ciphertext and key;
Described decipher 12 is used for calling decipherment algorithm elder generation decryption key after reception information, separate ciphertext again.Call corresponding decipherment algorithm by decipher 12, solve key earlier, again decrypt ciphertext is become expressly, plaintext is sent to filter element 13.If decipher 12 receives a plurality of keys and relative imperfect ciphertext, then decipher 12 is distinguished decruption key and ciphertexts earlier, a plurality of ciphertexts after will deciphering again, and promptly a plurality of plaintexts send to filter element 13 after being integrated into complete plaintext.
Step 204, the plaintext that filter element 13 receives through decipher 12 deciphering, and judge that whether information is effective, falls undesirable information filtering;
Step 205, the effective information after transmitting element 14 will filter is issued by transmission network.
As shown in Figure 3: judge whether information is effective, and the concrete grammar that undesirable information filtering is fallen may further comprise the steps:
As shown in Figure 4, user's keyword, characteristic and the concrete grammar of the corresponding relation of the filter type of targeted customer's information be may further comprise the steps are set:
The characteristic of step 401, target setting information that the user sends.Wherein, characteristic comprises: user behavior data, comprise in the following information one or more: the frequency of occurrences of feature phrase in the information that the user is sent, the amount of information of the number of times of user's transmission/reception information and user's transmission/reception information in limiting time;
The user profile data comprise in the following information one or more: the first login time of user, the number of contacts that liveness after the user lands and user are had;
The network characterization data comprise in the following information one or more: user ID quantity among the same IP and the user ID number in the uniform machinery sign indicating number.
Valid data in the recognition feature data promptly after obtaining enough data, also need data are carried out necessary cleaning, weed out a part of field or record.For example, according to user's request, some content in the data is set for necessary, and other contents are non-essential, and these non-essential data contents are deleted, and make only to keep the data necessary content in the data.
According to valid data, the sample of users among the select target user.Be about to business goal transformation model target, the modeling targeted customer of rule model determined in the information record that sampling is extracted, and wherein, the information record refers to that the user sends or the information releasing state.
According to the characteristic of sample of users, obtain targeted customer's characteristic parameter, this characteristic parameter is the particular community that the targeted customer had, for example either traditional and simplified characters in the text, capital and small letter, full-shape half-angle state etc.According to simulated target, utilize available data to obtain the variable of deriving, understand client's behavior from angle more fully, this variable of deriving is to carry out the variable that combinatorial operation obtains according to a plurality of characteristics.Acquisition process comprises: the appearance total amount of calculated characteristics data, generate targeted customer's the variable that gathers, and this gathers variable is statistics to all characteristics; Calculating comprises the reception/transmission ratio of the information of characteristic, generates targeted customer's rate variable, and this rate variable has embodied the various state proportionate relationships of characteristic among the targeted customer; The calculated characteristics data quantity on average appears, generate targeted customer's average variable, this average variable has embodied the par that occurs in the characteristic unit interval among the targeted customer.
Irregular numerical value in step 403, the filtering characteristic parameter.
Searching needs the variable of cleaning and missing values is replaced, and concrete filtering process comprises:
The missing values of replacing in the characteristic parameter is the replacement value, wherein comprises the replacement principle of the missing values of setting data, as all missing values are replaced with numerical value 0.
The numerical value of replacing in the characteristic parameter that does not meet format convention is regular numerical value, as all text messages being carried out either traditional and simplified characters, capital and small letter, the conversion of full-shape half-angle.
By above-mentioned step, possessed satisfactory data and just entered into the stage of setting up model afterwards.Set up model and comprise work such as selecting suitable algorithm, selection suitable parameters, formulation modelling verification scheme, sampling of data plan, model parameter setting.Be specially:
Selecting one or more characteristic parameters in the characteristic parameter after filtration is that rule generates parameter;
By adjusting filter type, generate parameter according to rule, generate a plurality of filter types;
By test, in a plurality of filter types, selecting the highest filter type of accuracy rate is targeted customer's filter type.
Setting up the preparation of model and data is a mutual process: the PRELIMINARY RESULTS of setting up model can be prepared to produce new demand to data, and the result that data are prepared directly influences the structure of model.
By above-mentioned flow process, generated rule rule to the targeted customer, and further, in actual applications, system is user's score, when user's scoring value surpasses preset threshold value according to this targeted customer's filter type, this user profile is filtered, realize monitoring for network security and assurance.
Such filter type can be used in mail, forum and MSN etc. equally and can realize that this belongs to protection scope of the present invention equally in the information filtering work of network interaction process of information communication.
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail:
So that the user who issues yellow information is filtered into example, flow process to method for filtering user information describes, system is by the chat message of analysis user, seek the model that contains in the user institute transmission information of the yellow information of issue, obtain these patterns by data mining model, utilize generate pattern to generate filter type then, realize monitoring the type user profile to the user who issues yellow information.
Detailed process is as follows:
Step 501, pass through analysis, target setting user's characteristic.
Above-mentioned characteristic comprises user behavior data, user profile data and network characterization data, and scope and result that body is set are as follows:
1, the setting of user behavior data comprises:
(1) catalogue, film, video, video display, animation, cartoon, picture, perform, watch, download, online, yellow, erotica, pornographic, passion, adult, ethics, actress in opera, classics, three grades, A sheet, do not have the frequency that keywords such as sign indicating number, clear, AV occur.
(2) user sends the number of times and the byte number of information.
(3) user receives the number of times and the byte number of information.
(4) user sends the number of times of information to the stranger.
2, the setting range of user profile data comprises:
(1) user's time of logining for the first time;
(2) user's liveness;
(3) good friend's number of user.
3, the setting range of network characterization data comprises:
(1) with the number of users on the IP;
(2) with the number of users on the MAC Address.
After finishing setting, according to the characteristic that sets, generate the characteristic parameter to targeted customer's (promptly sending the user of yellow information), promptly whether the customer responsiveness user sends yellow information.By the user who analyzes and screening finds modeling to need.Detailed process is as follows:
Valid data in step 502, the recognition feature data are rejected invalid variable and observation.
As, according to prior art, good friend's number and user that the user adds still can't extract at present to the inferior logarithmic data that the stranger sends information, so, the option of this content correspondence of proposition in the setting result of characteristic.
Step 503, selection sample of users are determined destination object.
The user who sends yellow information is defined as simulated target, and the type user's information communication record is extracted in sampling, as data such as chat record, message record and mail records, determines the modeling order of model
Step 504, calculate the variable of deriving.
According to simulated target, utilize the data computation of the above-mentioned acquisition variable of deriving, understand client's behavior from angle more fully.In the present embodiment, the variable of deriving that modeling is used mainly contains three classes: gather variable, rate variable, average variable, specific as follows:
1, gathers variable
The species number that keyword occurs.For example: if contain AV, actress in opera, three grades of keywords in the information, then combined data is 3, three class keywords promptly occurred.
The keyword grouping.For example: watch, download, keyword such as online assign in the homogeneity group, and calculate the total degree of their appearance.
2, the ratio that sends and receive
For example: the ratio that sends ratio, transmission information word joint number and the reception byte number of information number of times and the information of reception number of times.
3, average variable
For example: the average occurrence number of every class keyword, promptly this keyword occurrence number is divided by total keyword occurrence number.
Step 505, characteristic parameter is carried out information filtering.
For the variable that contains missing values, replace according to the replacement principle of the missing values of data, replace with numerical value 0 as all missing values;
To with text message, the cleaning of data is that all text messages have been carried out either traditional and simplified characters, capital and small letter, the conversion of full-shape half-angle.Specifically as shown in table 1:
Table 1 is replaced the content contrast
| Electricity | Electricity | |
| Concept | See | |
| Painting | Draw | |
| Yellow | Yellow | |
| Grade | Level | |
| The | Warp | |
| Recording | Record | |
| Lun | Human relations | |
| Frequency | Frequently | |
| Visual | Look | |
| Fig. | Figure | |
| No | Do not have | |
| Line | Line | |
| Gifted | Excellent | |
| Load | Carry | |
| V | v | The conversion of full-shape half-angle |
Step 506, according to the characteristic parameter after filtering, generate filter type to the targeted customer.There has been the preparation of characteristic parameter just to enter into the stage of setting up model afterwards.Set up model and comprise work such as selecting suitable algorithm, selection suitable parameters, formulation modelling verification scheme, sampling of data plan, model parameter setting.Setting up the preparation of model and data is a mutual process: the PRELIMINARY RESULTS of setting up model can be prepared to produce new demand to data, and the result that data are prepared directly influences the structure of model.
Simultaneously, because the variation of characteristic parameter and model algorithm can produce a plurality of rule The model calculation, in order in a plurality of results, to select the most accurately a model as final objective user filtering mode, can also carry out the model filter test, the result is as shown in table 2 as model prediction:
Table 2 model measurement result statistics
| Prediction is false | Prediction is set up | |
| Actually be false | 896 | 87 |
| The actual establishment | 173 | 423 |
Then according to the data of table 2, the accuracy rate of computation model is:
(prediction is set up and actual establishments+prediction is false and actually is false)/always sample number=(423+896)/(896+423+87+173)=83.5%.
According to the aforementioned calculation result, judge that this model accuracy rate meets the demands, thereby satisfy in the model that accuracy rate requires at all and to select the highest one or more models of accuracy rate, be defined as filter type, promptly be used for the user who issues yellow information is filtered the targeted customer.
By using the present invention, realized to the timesharing monitoring of information communication record and collected that by data mining model, give each user's scoring on the backstage, when user's score value surpasses preset threshold, system just
Think that this user has sent yellow information, take corresponding processing controls measure then, the user is punished accordingly, as listing this user in supervisory control system, judge from the angle of business whether this user who enters supervisory control system satisfies punishment condition by the network security supervisor then, and when satisfying punishment condition, carry out corresponding punishment.
Those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (5)
1. information issuing system, this system comprises the webserver, transmission network and each user terminal, it is characterized in that: the described webserver comprises receiving element, decipher, filter element and transmitting element, described each user terminal comprises terminal server and encryption equipment, and the user calls cryptographic algorithm by encryption equipment after by the terminal server input information and information is encrypted the back forms ciphertext; Connect the receiving element of encryption equipment in the user terminal, be used to receive ciphertext and the encryption key that encryption equipment sends, and it is transmitted to decipher; The decipher that connects data storage cell is used for calling decipherment algorithm elder generation decryption key after reception information, separate ciphertext again; The filter element that connects decipher is used to receive the plaintext through deciphering, and judges that whether information is effective, falls undesirable information filtering; The transmitting element that connects filter element is used for the effective information after filtering is issued by transmission network, and described filter element comprises:
Module is set, is used to be provided with the corresponding relation of the filter type of user's keyword, characteristic and targeted customer's information;
Acquisition module is used to obtain targeted customer's keyword and characteristic;
Filtering module is used for the filter type of searching described corresponding relation according to described targeted customer's keyword and characteristic, according to described filter type described targeted customer's information filtered,
2. a kind of information issuing system as claimed in claim 1 is characterized in that: the described module that is provided with specifically comprises:
Parameter generates submodule, is used for the keyword and the characteristic of target setting information that the user sends, and according to described keyword and characteristic, generates described targeted customer's characteristic parameter;
Filter submodule, be used for filtering the irregular numerical value of the characteristic parameter that described parameter generation module generates;
Rule generates submodule, is used for generating the filter type to described targeted customer's information according to the characteristic parameter after the described filtering module filtration.
3. a kind of information issuing system as claimed in claim 2 is characterized in that: described parameter generates submodule and specifically comprises:
Recognition unit is used for discerning the valid data of described characteristic;
Selected cell is used for the valid data according to described recognition unit identification, selects the sample of users among the described targeted customer;
Computing unit is used for the characteristic according to the selected sample of users of described selected cell, calculates described targeted customer's characteristic parameter.
4. a kind of information issuing system as claimed in claim 2 is characterized in that: described filtration submodule specifically comprises:
First filter element, the missing values that is used for replacing described characteristic parameter is the replacement value;
Second filter element, the numerical value that does not meet format convention that is used for replacing described characteristic parameter is regular numerical value.
5. a kind of information issuing system as claimed in claim 2 is characterized in that: described rule generates submodule and specifically comprises:
Parameter selection unit, the characteristic parameter that is used for after described filtering module filters selects one or more characteristic parameters to generate parameter for rule;
The rule computing unit by adjusting filter type, generates parameter according to the selected rule of described parameter chooser module, generates a plurality of filter types;
The rule selected cell is used for a plurality of filter types in described regular computing unit generation, and selecting the highest filter type of accuracy rate is described targeted customer's filter type.
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| CN2010101312977A CN102202037A (en) | 2010-03-24 | 2010-03-24 | Information publishing system |
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| CN2010101312977A CN102202037A (en) | 2010-03-24 | 2010-03-24 | Information publishing system |
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| CN103984764A (en) * | 2014-05-30 | 2014-08-13 | 石家庄铁道大学 | Individuation privacy protection method for sensing semantic query based on road network |
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Application publication date: 20110928 |