CN103226668A - Evaluating system, information interaction system with same and evaluating method - Google Patents

Evaluating system, information interaction system with same and evaluating method Download PDF

Info

Publication number
CN103226668A
CN103226668A CN2013101903824A CN201310190382A CN103226668A CN 103226668 A CN103226668 A CN 103226668A CN 2013101903824 A CN2013101903824 A CN 2013101903824A CN 201310190382 A CN201310190382 A CN 201310190382A CN 103226668 A CN103226668 A CN 103226668A
Authority
CN
China
Prior art keywords
terminal
scoring
security
server
level
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2013101903824A
Other languages
Chinese (zh)
Inventor
不公告发明人
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN2013101903824A priority Critical patent/CN103226668A/en
Publication of CN103226668A publication Critical patent/CN103226668A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to an evaluating system, an information interaction system with the same and an evaluating method. The evaluating system for evaluating a terminal comprises a database for storing evaluation related data for a terminal, an evaluating server for evaluating the terminal and businesses of the terminal by using the evaluation related data in the database, and a safety level determining server for determining the safety level of the terminal. The evaluating system is characterized in that the evaluating server comprises an initial evaluation processor and a accumulative evaluation processor, wherein the initial evaluation processor is used for initially evaluating the terminal and the current business thereof based on the evaluation related data of the terminal and the evaluation related data of the current business of the terminal, and calculating the score of the current time point; the accumulative evaluation processor is used for processing an accumulative score based on the score of the current time point, calculated by the initial evaluation processor, a history score and a recommended evaluation value, and calculating the comprehensive score; and the safety level determining server is used for determining the safety level of the terminal based on the comprehensive score of the accumulative evaluation processor.

Description

Evaluating system, the information interaction system that comprises it and appraisal procedure
Technical field
The present invention relates to a kind of evaluating system and appraisal procedure, more specifically, relate to the evaluating system that is used to assess level of security, the information interaction system that comprises it and appraisal procedure.
Background technology
At present, information interaction system is used widely in every field such as for example communication, computing machine, production and finance.Described information interaction system is realized communication between terminals, thereby carries out certain business.In this article, a professional speech is meant any type of information interaction.It can be the transmission of speech, the transmission of data, the payment of product, payment of fund or the like.In this information interaction system, need assess terminal in the system and business thereof, thereby information interaction system is assessed mutual between each terminal of carrying out among the system and the various piece based on this.
The evaluating system that carries out above-mentioned assessment plays an important role in information interaction system, and the independence of assessment and accuracy directly influence the security of the service interaction of whole information interaction system.
In the prior art, evaluating system adopts model that terminal is assessed usually.But current evaluating system has following defective.The first, the model that evaluating system adopted is single, and this causes the rationality of assessment result and science lower.The second, the assessment of evaluating system is relatively more subjective, mainly depends on the subjective judgement of expert in the industry.Though adopted model to assess at present,, also needed to depend on the associated row expert usually and rule of thumb carry out some judgements because these models are comparatively single.Thereby assessment result may be because different experts and difference.The 3rd, also be that the assessment of most important, current evaluating system is static.That is, after evaluating system was made assessment to terminal, this assessment result may be unalterable.Can't be according to terminal and professional variation thereof and dynamic change, thus such assessment has hysteresis quality.
Summary of the invention
In order to overcome evaluating system of the prior art, the too problem of subjectivity and hysteresis quality low, provide the present invention to the accuracy of terminal evaluates.The invention provides a kind of evaluating system, comprise its information interaction system and appraisal procedure.
A kind of being used for according to an aspect of the present invention comprises the evaluating system that terminal is assessed: database is used for the assessment related data of storage terminal; Evaluating server is used for utilizing the assessment related data of database that terminal and business thereof are assessed; And level of security is determined server, be used for determining the level of security of terminal, described evaluating system is characterised in that: described evaluating server comprises: the initial score processor, be used for terminal and current business thereof being carried out initial assessment, calculate the scoring of current point in time based on the assessment related data of the current business of the assessment related data of terminal and terminal; The accumulative total score processor, scoring, historical scoring and the recommendation score value of the current point in time that calculates based on the initial score processor, terminal is added up scoring to be handled, calculate comprehensive grading, described level of security determines that server determines the level of security of terminal based on the comprehensive grading of accumulative total score processor.
A kind of appraisal procedure that is used for above-mentioned evaluating system according to a further aspect in the invention may further comprise the steps: the initial score processor carries out initial assessment based on the assessment related data of the current business of the assessment related data of terminal and terminal to terminal and current business thereof, calculates the scoring of current point in time; And the accumulative total score processor is marked and the recommendation score value based on scoring, the history of the current point in time that the initial score processor calculates, and terminal is added up scoring handle, and calculates comprehensive grading; And level of security determines that server determines the level of security of terminal based on the comprehensive grading of accumulative total score processor.
A kind of information interaction system in accordance with a further aspect of the present invention comprises: first terminal; Second terminal, second terminal will be carried out intended service to first terminal in the predetermined execution time; The 3rd terminal; And central server, described central server links to each other with first terminal, second terminal and the 3rd terminal respectively, and described central server comprises: database is used to store the assessment related data of second terminal; Evaluating server is used for utilizing the assessment related data of database that second terminal and business thereof are assessed; And level of security is determined server, be used for determining the level of security of second terminal, wherein, described evaluating server comprises: the initial score processor, be used for second terminal and current business thereof being carried out initial assessment, calculate the scoring of current point in time based on the assessment related data of the current business of the assessment related data of second terminal and second terminal; The accumulative total score processor, scoring, historical scoring and the recommendation score value of the current point in time that calculates based on the initial score processor, second terminal is added up scoring to be handled, calculate comprehensive grading, described level of security determines that server determines the level of security of second terminal based on the comprehensive grading of accumulative total score processor, and described central server determines that based on level of security the level of security of second terminal that server is determined controls the service interaction of first terminal, second terminal and the 3rd terminal.
Provide reliable basis according to evaluating system of the present invention, the information interaction system that comprises it and dynamic assessment method for service interaction; Improve the security and the reliability of whole information interaction system; Realize dynamic evaluation, avoided the hysteresis quality of assessment; For the required key message of service interaction provides the function of data storage, data utilization, data analysis, make the system to be evaluated as the center, on framework, the characteristics of Transaction Processing and on-line data analysis are integrated effectively.
Description of drawings
Fig. 1 illustrates the block diagram of evaluating system according to an embodiment of the invention.
Fig. 2 illustrates the process flow diagram of appraisal procedure according to an embodiment of the invention.
Fig. 3 illustrates the block diagram of information interaction system according to an embodiment of the invention.
Fig. 4 is the block diagram that the hardware configuration of the computer system that can realize each parts in information interaction system of the present invention and the evaluating system is shown.
Embodiment
To describe the preferred embodiments of the present invention in detail according to accompanying drawing now.Notice that the positioned opposite of the assembly among the embodiment and the shape of device only are described to example, and are not intended to limit the scope of the invention to these examples.In addition, similar Reference numeral and letter refer to similar in the drawings, thus, as long as define one in a figure, then need not for follow-up figure this to be discussed.
Below with reference to Fig. 1 and Fig. 2 evaluating system 101 is according to an embodiment of the invention described.
Evaluating system 101 comprises: be used for terminal is assessed and to the evaluating server 1011 that the current business of terminal 103 is assessed, be used for determining assessment related data and professional assessment related data and the database 1013 that these data are safeguarded that the level of security of the level of security of terminal 103 is determined server 1012 and is used for storage terminal.
Evaluating server 1011 is described below.In evaluating server, can be that level of security (for example credit) to terminal 103 is assessed to the assessment of terminal 103.
Evaluating server 1011 is used for utilizing the assessment related data of database that terminal and business thereof are assessed.Evaluating server 1011 comprises initial score processor 1011a, accumulative total score processor 1011b and business monitoring processor 1011c.
Initial score processor 1011a is used for based on the assessment related data of the current business of the assessment related data of terminal and terminal terminal and current business thereof being carried out initial assessment, calculates the scoring of current point in time.Accumulative total score processor 1011b marks and the recommendation score value based on scoring, the history of the current point in time that the initial score processor calculates, and terminal is added up scoring handle, and calculates comprehensive grading.Described level of security determines that server 1012 determines the level of security of terminal based on the comprehensive grading of accumulative total score processor.
Business monitoring processor 1011c carries out dynamic process to adjust the scoring of terminal according to the variation of the assessment related data of terminal to scoring, the comprehensive grading of above-mentioned time point, and determine that to level of security server 1012 sends warning messages, thereby level of security is determined server 1012 and is adjusted the level of security of terminals.
Describe the operation of initial score processor 1011a below in detail.Initial score processor 1011a carries out entry evaluation to terminal and business thereof, calculates the assessment result of current time point.To the assessment of terminal can be that level of security (for example credit) to terminal is assessed, and it is based on the credit related data of terminal.The credit related data of terminal is meant: if second terminal is the individual, then be this individual such as age, sex, occupation and to influential other attributes of its credit; If terminal is an enterprise, industry, scale, management state and the output etc. that then are this enterprise are to influential other attributes of its credit.Above factor only is an example.Concrete which type of feature that adopts can be determined according to practical application as the factor that terminal is marked.The initial score that initial score processor 1011a adopts certain algorithm or mathematical model to come computing terminal based on these factors.
Initial score processor 1011a also marks to the current business of terminal.Scoring to described current business can be based on size, type and the predetermined execution time etc. of described current business.The size of described current business for example size, the product of information quantity or for example accounts payable fund what etc.The type of described current business for example is the type (speech, data etc.) of information, the type of product or the type of fund etc.Above factor only is an example.Concrete which type of feature that adopts can be determined according to practical application as the factor that the current business of terminal is marked.The scoring that initial score server 1011a adopts certain algorithm or mathematical model to calculate described intended service based on these factors.
Following mask body is introduced the scoring processing that initial score server 1011a utilization logistic regression model carries out.Terminal evaluates related data and professional assessment related data that initial score server 1011a collects in the database 1013 are marked.Principle is as follows: establishing p is rate of violation, and promptly terminal is carried out professional probability on time, perhaps the probability that is not performed of current business.X is for influencing the desired value of rate of violation.Factor beta 0, β 1Be weight.
With the monobasic is example, following formula is carried out model derive:
ln p 1 - p = β 0 + β 1 x - - - ( 1 )
Suppose n sample observations y 1, y 2..., y n, the probability P that obtains an observed reading is:
P ( Y = y i ) = p i y i ( 1 - p i ) 1 - y i , - - - ( 2 )
Y wherein i=1(represents promise breaking) or y i=0(represents not break a contract)
Because every observation is separate, its joint distribution is:
L ( θ ) = Π i = 1 n p i y i ( 1 - p i ) 1 - y i , - - - ( 3 )
Select the likelihood function of following formula as n observation:
ln L ( θ ) = ln ( Π i = 1 n p i y i ( 1 - p i ) 1 - y i ) = ln ( Π i = 1 n ( p i 1 - p i ) y i ( 1 - p i ) )
= Σ i = 1 n [ y i ( β 0 + β 1 x i ) - ln ( 1 + e β 0 + β 1 x i ) ] - - - ( 4 )
Respectively parameter is asked local derviation, make it equal 0 then, try to achieve β 0, β 1Estimated value
Figure BDA00003224430300056
Figure BDA00003224430300057
Thereby obtain (p iMaximum likelihood estimate), this value is at given x iCondition under y iThe estimation of=1 conditional probability, it has represented the match value of logistic regression model.
In like manner, polynaryly be: ln = p i 1 - p i = β ^ 0 + Σ k = 1 m β ^ k x ki , - - - ( 5 )
Thereby obtain model coefficient, just can carry out the calculating of rate of violation with following formula (6).
p = 1 1 + e - ( β 0 + Σ k = 1 m β k x k ) , - - - ( 6 )
Wherein, p is the rate of violation of the current business of the rate of violation of terminal or terminal, x kBe k the factor of the business of terminal or terminal, β kBe the weight of k the factor, m is a factor number, β 0Be the intercept item.The rate of violation of current business that goes out the rate of violation of terminal and terminal by this Model Calculation is as the initial assessment result.
Adopt the logistic model to obtain the initial assessment result though above described initial score processor 1011a.But it will be understood by those skilled in the art that and to adopt different models to obtain the initial assessment result, calculate as long as this model has been considered the assessment related data of the terminal in the database and professional assessment related data.And the initial assessment result also is not limited to above-mentioned rate of violation, and can be other values of the degree of carried out of GC group connector or business.
Describe the operation of accumulative total score processor 1011b below in detail.Accumulative total score processor 1011b uses dynamic Bayesian model to add up scoring based on above-mentioned initial assessment result and handles, and obtains the assessed value for the n time service interaction of terminal, and described the n time is this service interaction, that is, current business is mutual.Mainly form for the assessed value behind the n time service interaction by three parts:
The n-1 time mutual assessed value T N-1, the assessed value that the n-1 time transaction produces has a direct impact the assessment of this (the n time) transaction.The size of influence is by its weight w 1Decision.
The n time direct assessed value DT nThis value determine to be subjected to influence of various factors, depend primarily on the assessment result of the terminal that above-mentioned initial score processor 1011a calculates and the assessment result of current business.
The recommendation evaluation of estimate RT of other-end.The determining of this value is subjected to unfair treatment for fear of new interactive terminal.The direct trust evaluation value of the interactive terminal of new interactive terminal and evaluation difference is all very little, and in order to distinguish their behavior, for new interactive terminal, the recommendation trust evaluation of estimate is the deciding factor of accumulative total score value.
If these three shared weights of factor are respectively w 1, w 2, w 3, w 1+ w 2+ w 3=1, thereby
T n=w 1T n-1+w 2DT n+w 3RT (7)
T nBe the assessed value of the n time service interaction of terminal, the accumulative total score value that also promptly will obtain.
w 1Be the n-1 time mutual assessed value T N-1Weight.If m is the total service interaction number of times of terminal, n is the number of times that terminal is carried out service interaction on time, then w 1Be worth desirable
Figure BDA00003224430300071
w 2Be the direct assessed value DT of terminal nWeight.
w 3For recommending the weight of evaluation of estimate RT, if note a is the recommendation evaluation factor, a ∈ (0,1), then the recommendation trust of the m time transaction is estimated weight w 3Be a m
Introduce the calculating of the direct assessed value of terminal below in detail
The Bayesian network model that terminal is trusted is a directed acyclic graph, and it is made of the directed edge of the node of representing variable and these nodes of link.Variable node comprises each factor after terminal trust value undetermined and the decomposition thereof, and the mutual relationship between internodal directed edge representation node is pointed to its offspring's node by father node.
DT n=(1-p)*100 (9)
The rate of violation that p calculates for the initial score processor.
The calculating of recommending evaluation of estimate is described below.
RT is the evaluations of a plurality of terminals for current terminal, and then the final recommendation evaluation of estimate of terminal is:
RT = Σ j = 1 m r j RT j Σ j = 1 m r j - - - ( 8 )
RT jFor the evaluation of estimate of j terminal of service interaction to described terminal, r being arranged with described terminal jBe RT jWeight.
To sum up:
T n = n m T n - 1 + w 2 ( 1 - p ) * 100 + a m Σ j = 1 m r j RT j Σ j = 1 m r j - - - ( 10 )
By above-mentioned model, accumulative total score processor 1011b calculates the accumulative total scoring of terminal.
Adopt dynamic Bayesian model to obtain the accumulative total scoring though above described accumulative total score processor 1012a.But it will be understood by those skilled in the art that and to adopt different models to obtain appraisal result, as long as this model is also considered some other correlative factor except above-mentioned initial score result.And the appraisal result of business and recommendation evaluation of estimate etc. before some other correlative factor is not limited to.
According to the accumulative total scoring of accumulative total score processor 1012a, level of security is determined the level of security of server 1012 definite terminals.
Particularly, level of security determines that server 1012 calculates to determine the level of security of terminal by certain algorithm or mathematical model based on above-mentioned accumulative total scoring.Described level of security for example is high or low.The level of security of terminal can be by comparing a result of calculation and a threshold value to determine.If result of calculation is greater than threshold value, then the level of security of terminal is set as height, if result of calculation less than threshold value, then the level of security of terminal is set as low.The setting that it will be appreciated by those skilled in the art that above-mentioned level of security only is an example.Level of security can also be set to more than two ranks.The setting of level of security can be determined according to specifically being used for.
After current business began alternately, some may take place and change in terminal, and business monitoring processor 1011c monitors in real time to the variation of terminal.The variation of terminal just is reflected as the variation of its assessment related data in the database 1013.The business monitoring processor continues monitoring to the variation of assessment related data, and utilization adaptive model (11) calculates the variation of its assessment.
f ( X ) = β 0 + Σ m = 1 λ β m h m ( X ) - - - ( 11 )
Wherein, f (X) is the self-adaptation appraisal result, h m(X) be effective basis function, β mBe the weight of basis function, β 0Be the intercept item, λ is the number of basis function.
Introduce the adaptive model principle below.
MARS uses shape as (x-t) and piecewise linearity basis function expansion (t-x).The positive U branch of "+" expression, so:
( x - t ) + = x - t x > t 0 x &le; t And ( t - x ) + = t - x x < t 0 x &GreaterEqual; t
Each function is piecewise linear, and kink is on value t, and these are exactly linear batten.Claim that these two functions are that inverting is right this moment.
For each observed reading x in input IjThe place has each input x of kink j, it is right to form inverting.Therefore the set for basis function is:
C = { ( x j - t ) + , ( t - x j ) + } t &Element; { x 1 j , x 2 j , . . . x Nj } j = 1,2 , . . . p , - - - ( 12 )
If all input value difference, then always total 2Np basis function.Although each basis function h (X)=(x j-t) +Only depend on single x j, but can be regarded as whole input space R pOn function.
The model construction policy class is similar to progressively linear regression of forward direction, but we can not use original input, and uses the function among the set C and theirs is long-pending.Model form is like this:
f ( X ) = &beta; 0 + &Sigma; m = 1 M &beta; m h m ( X ) - - - ( 13 )
Each h m(X) all be function among the C, or the product of two or more this functions.Given h mA selection, factor beta mQuadratic sum by the minimization residual error is estimated, promptly estimates by the linear regression of standard.Real skill is function h m(x) textural.Beginning only comprises constant function h in the model 0(X)=1, and the function of set among the C all be the candidate.
In each stage, consider a function h among the mode set M mLong-pending with a function of inverting centering among the C so long-pendingly regarded all as a new basis function right.Add in the model M:
&beta; ^ M + 1 h l ( X ) &CenterDot; ( X j - t ) + + &beta; ^ M + 2 h l ( X ) &CenterDot; ( t - X j ) + , h l &Element; M - - - ( 14 )
It can reduce training error to greatest extent.
Figure BDA00003224430300094
With Be coefficient, they use least-squares estimation with other M+1 coefficient of model.Long-pending the adding in the model of winning, and continue this process arrives predefined maximum number up to the number of mode set M discipline.
The undue fitting data of large-sized model (13), thus after we will use one to delete procedure.In each step, deletion causes that the minimum item of residual sum of squares (RSS) growth produces the estimation best model of size for λ (number of item) from model
Figure BDA00003224430300096
Can estimate the optimum value of λ with cross validation, but assess the cost that MARS changes into and uses the broad sense cross validation in order to save.
GCV ( &lambda; ) = &Sigma; i = 1 N ( y i - f ^ &lambda; ( x i ) ) 2 ( 1 - M ( &lambda; ) / N ) 2 , - - - ( 15 )
Value M (λ) is an actual parameter number in the model, is that the number of model discipline adds the number of parameters that is used to select the optimum position of twisting together.Some mathematics and analog result show, select a kink should pay the cost of three parameters in piecewise linear regression.
So, if independently basis function of r linearity is arranged in the model, and K kink, then this formula in forward process, have been selected
M(λ)=r+cK, (16)
C=3 wherein.Come preference pattern according to the back of minimization GCV (λ) to sequence like this.
Calculate the self-adaptation scoring of terminal by above-mentioned formula (11).
Based on the self-adaptation scoring that business monitoring processor 1011c calculates, level of security is provided with the rank that server is adjusted terminal.For example, if self-adaptation scoring improves, level of security is provided with server will compare the level of security that redefines terminal based on the appraisal result and the threshold value of the terminal of this self-adaptation score calculation.
Utilize the self-adaptation of adaptive model computing terminal to mark though above described business monitoring processor 1011c.But, it will be appreciated by those skilled in the art that the model that can adopt other changes the scoring of terminal, as long as this model has been considered the variation of the assessment related data of terminal.
The operational flowchart of above-mentioned evaluating system is described below with reference to Fig. 2.
At first, in step S201, terminal 103 enters system, will assess related data transmission to evaluating server 1011 and database 1013.
After having service interaction, storage service related data in the database 1013.And, in step S202, assessment related data and service related data that evaluating server 1011 is extracted in the database 1013.
In step S203, initial score processor 1011a collects the assessment related data and service related data utilizes above-mentioned logistic regression model to carry out initial score, and appraisal result is delivered to accumulative total score processor 1011b.
In step S204, accumulative total score processor 1011b obtains comprehensive grading with the scoring of initial score, last service interaction and after recommending the dynamic Bayesian model of evaluation of estimate utilization to handle, and appraisal result is delivered to level of security determine server 1012.
In step S205, level of security is determined the level of security of server 1012 definite terminals, and the result is sent to project management server 102 with control service interaction process.
In service interaction, if the assessment related data of terminal changes (among the step S206 for being), then in step S207, business monitoring processor 1011c utilizes adaptive model that the data that change are handled, and the self-adaptation scoring of the terminal that calculates is sent to level of security determines server 1012.
In step S208, level of security determines that server 1012 sends to project management server 102 according to the level of security of the information adjustment terminal of business monitoring processor 1011c transmission and with the result, thereby project management server 102 is in time adjusted the service interaction states.Till terminal was carried out business on time in step S209, whole process finished.
For simply, only show a self-adaptation adjustment among the figure, but in fact business monitoring processor 1011c can adjust repeatedly.
In this service interaction, if the assessment related data of terminal does not change (being not among the step S206), till terminal was carried out business on time, then whole process finished.
It below only is the process flow diagram of an evaluation operation in the service interaction process.In practice, may have repeatedly service interaction, then above-mentioned evaluation operation can repeat repeatedly.
By above-mentioned evaluating system and appraisal procedure, for current business, because having taken all factors into consideration the assessment of assessment, the current business of terminal, professional assessment before etc. marks to terminal, so scoring meeting dynamic change along with the variation of terminal and business to terminal, thereby can carry out dynamic grading to terminal in real time, avoid hysteresis quality.And in current business reciprocal process, evaluating system of the present invention and appraisal procedure can also be carried out adaptive adjustment according to the variation of terminal, thereby adjust level of security evaluation status and service interaction state, so further avoided the scoring hysteresis quality.In addition, because system has adopted three kinds of models to participate in assessment, compare with traditional single model, assessment result is science and accurate more, has reduced the influence of artificial subjective factor.
Fig. 3 illustrates the block diagram of information interaction system according to an embodiment of the invention.Evaluating system of the present invention can be applied to described information interaction system.
As shown in Figure 3, described system comprises: central server 1, the first terminal server 2a, the second terminal server 2b and the 3rd terminal server 2c.Connect by data bus 5 between them.The first terminal server 2a, the second terminal server 2b and the 3rd terminal server 2c are connected with the 3rd terminal 3c with the first terminal 3a, the second terminal 3b with 4c by network equipment 4a, 4b respectively.Central server 1 comprises evaluating system 101 and project management server 102.
Described example system can be applicable to following situation.The first terminal 3a and the second terminal 3b have service interaction, and the first terminal 3a has paid a business to the second terminal 3b, and will pay intended service to first terminal at intended duration according to the agreement second terminal 3b.Before the described time limit expired, the payment that the first terminal 3a is badly in need of described intended service just can be carried out follow-up production or operation.The first terminal 3a can ask the 3rd terminal 3c on behalf of carrying out described intended service in advance.In this case, first terminal, second terminal and the 3rd terminal can use this example system to finish these operations.
Described herein first terminal, second terminal and the 3rd terminal can be individual, enterprise or communication terminal etc.In addition, among the figure for clear and simply only show one first terminal, second terminal and one the 3rd terminal.But the quantity that it will be appreciated by those skilled in the art that above-mentioned each terminal is not limited to one, and can be a plurality of.
Describe each ingredient of described example system below in detail.The first terminal 3a comprises end message dispensing device and system information receiving trap, and it carries out information interaction by network equipment 4a, the first terminal server 2a and data bus 5 with central server 1.Similarly, the second terminal 3b and the 3rd terminal 3c also comprise end message dispensing device and system information receiving trap respectively, and it carries out information interaction by network equipment 4b or 4c, the second terminal server 2b or the 3rd terminal server 3b and data bus 5 with central server 1 respectively.
Network equipment 4a can be switch to 4c, and by data bus first terminal server, second terminal server and the 3rd terminal server is linked with first terminal, second terminal and the 3rd terminal respectively, carries out information interaction and is connected with network.It will be appreciated by those skilled in the art that network equipment 4a can be other forms such as router to 4c.
Data bus 5 adopts the Ethernet form to constitute, and connects the various piece of total system.It will be appreciated by those skilled in the art that data bus 105 can be other information network forms.
The first terminal server 2a comprises: be used for first terminal login system the first terminal access to plant, be used for first terminal inquiry tripartite search inquiry device, be used for first terminal management apparatus of first terminal management and be used to limit the operating right of first terminal and the operating control device of operating frequency.
The second terminal server 2b comprises: be used for second terminal login system the second terminal access to plant, be used for second terminal inquiry tripartite search inquiry device, be used for second terminal management second terminal management apparatus, be used for regularly uploading the Operation Log of second terminal the daily record calling mechanism, be used to limit the operating right of second terminal and the operating control device of operating frequency.
The 3rd terminal server 2c comprises: be used for the 3rd terminal login system the 3rd terminal access to plant, be used for the 3rd terminal inquiry tripartite search inquiry device, be used for the 3rd terminal service manage the 3rd terminal management apparatus, be used for the operating control device that the 3rd terminal is informed the desired value annunciator of its desired value, is used to limit the 3rd terminal operation authority and operating frequency.
Central server 1 is a comprehensive server, and it can be arranged in certain geographic area.If to economize the unit as the geographic area, then central server can be positioned at certain province, for example Shaanxi Province.In this case, it is at the user's in whole Shaanxi Province.If with the unit of city as the geographic area, then central server can be positioned at certain city, for example Xi'an.In this case, it is at the user's of whole Xi'an.As noted before, first terminal, second terminal and the 3rd terminal can be individual, enterprise or communication terminal.
Evaluating system 101 in the central server 1 comprises: be used for the second terminal 3b is assessed and to the evaluating server 1011 that the intended service that will carry out of second terminal is assessed, be used for determining the database 1013 that the level of security of the level of security of second terminal is determined server 1012 and is used to store the terminal data relevant with information interaction and these data are safeguarded.Please refer to description for the description of evaluating system 101, repeat no more here Fig. 1.
Project management server 102 in the central server 104 is used for managing alternately whole information interaction system.
In addition, central server can also have with lower device: be used to inquire about tripartite management of information device (not shown), be used to set the tripartite authority setting device (not shown) of tripartite operating right, the daily record that is used for a series of data queries of system, simple analysis is provided with the inquiry unit (not shown), be used for the recourse control device (not shown) when the promise breaking of second terminal (that is, by time limit to the 3rd terminal payment intended service) second terminal demanded.
By above-mentioned information interaction system, described first terminal is sent the execution request that is used to ask to be carried out in advance by the 3rd terminal the described intended service of described second terminal to central server, the existence of the described intended service of described second terminal check, described central server calculates the level of security of second terminal by evaluating system in response to described execution request and described affirmation, and described central server is notified the 3rd terminal with the level of security of second terminal, and described the 3rd terminal carries out in advance to described first terminal intended service of described second terminal based on described notice.Subsequently, when intended duration expires, carry out intended service to the 3rd terminal by second terminal.
Evaluating system can be applied to above-mentioned information interaction system though above show according to an embodiment of the invention, it will be understood by those skilled in the art that described evaluating system can be applied to the situation except above-mentioned information interaction system.Above-mentioned evaluating system can be applicable to determine any system of user's level of security.The level of security that for example needs to determine the user in the communication system is with the communication service of determining to offer its corresponding level of security of user etc.
Fig. 4 is the block diagram of hardware configuration that the computer system 1000 of each server that can realize embodiments of the invention and device is shown.
As shown in Figure 4, computer system comprises computing machine 1110.Computing machine 1110 comprises processing unit 1120, system storage 1130, not removable non-volatile memory interface 1140, removable non-volatile memory interface 1150, user's input interface 1160, network interface 1170, video interface 1190 and the output peripheral interface 1195 that connects via system bus 1121.
System storage 1130 comprises the ROM(ROM (read-only memory)) 1131 and the RAM(random access memory) 1132.The BIOS(Basic Input or Output System (BIOS)) 1133 resides among the ROM1131.Operating system 1134, application program 1135, other program element 1136 and some routine data 1137 reside among the RAM1132.
Not removable nonvolatile memory 1141 such as hard disk is connected to not removable non-volatile memory interface 1140.Not removable nonvolatile memory 1141 for example can storage operating system 1144, application program 1145, other program element 1146 and some routine data 1147.
Removable nonvolatile memory such as floppy disk 1151 and CD-ROM drive 1155 is connected to removable non-volatile memory interface 1150.For example, diskette 1 152 can be inserted in the floppy disk 1151, and the CD(CD) 1156 can be inserted in the CD-ROM drive 1155.
Input equipment such as mouse 1161 and keyboard 1162 is connected to user's input interface 1160.
Computing machine 1110 can be connected to remote computer 1180 by network interface 1170.For example, network interface 1170 can be connected to remote computer 1180 by LAN (Local Area Network) 1171.Alternatively, network interface 1170 can be connected to modulator-demodular unit (modulator-demodulator) 1172, and modulator-demodular unit 1172 is connected to remote computer 1180 via wide area network 1173.
Remote computer 1180 can comprise the storer 1181 such as hard disk, and it stores remote application 1185.
Video interface 1190 is connected to monitor 1191.
Output peripheral interface 1195 is connected to printer 1196 and loudspeaker 1197.
Computer system shown in Figure 4 only is illustrative and never is intended to any restriction to invention, its application, or uses.
Computer system shown in Figure 4 can be implemented in any embodiment, can also can remove one or more unnecessary assemblies as the disposal system in the equipment as stand-alone computer, perhaps adds one or more additional assemblies to it.
The present invention is not limited in above-mentioned embodiment, and the variation that those of ordinary skills make in essential scope of the present invention, remodeling, interpolation or replacement also should belong to protection scope of the present invention.

Claims (11)

1. one kind is used for evaluating system that terminal is assessed, and it comprises:
Database is used for the assessment related data of storage terminal;
Evaluating server is used for utilizing the assessment related data of database that terminal and business thereof are assessed; And
Level of security is determined server, is used for determining the level of security of terminal,
Described evaluating system is characterised in that:
Described evaluating server comprises:
The initial score processor is used for based on the assessment related data of the current business of the assessment related data of terminal and terminal terminal and current business thereof being carried out initial assessment, calculates the scoring of current point in time;
The accumulative total score processor, scoring, historical scoring and the recommendation score value of the current point in time that calculates based on the initial score processor add ups scoring to terminal and handle, the calculating comprehensive grading,
Described level of security determines that server determines the level of security of terminal based on the comprehensive grading of accumulative total score processor.
2. evaluating system according to claim 1 is characterized in that:
Described evaluating server also comprises the business monitoring processor, described business monitoring processor is adjusted the scoring of terminal according to the variation of assessment related data, and determine that to level of security server sends warning message, thereby level of security is determined server and is adjusted the level of security of terminal.
3. evaluating system according to claim 1 and 2 is characterized in that:
The scoring of described initial score processor is based on calculating with drag:
p = 1 1 + e - ( &beta; 0 + &Sigma; k = 1 m &beta; k x k )
Wherein, p is the rate of violation of the current business of the rate of violation of terminal or terminal, x kBe k the factor of the business of k factor of terminal or terminal, β kBe the weight of k the factor, β 0Be the intercept item.
4. evaluating system according to claim 3 is characterized in that:
The scoring of described accumulative total score processor is based on calculating with drag:
T n=w 1T n-1+w 2DT n+w 3RT
Wherein, T nFor terminal is finished the n time accumulative total scoring after the service interaction, T N-1For terminal is finished the n-1 time accumulative total scoring after the service interaction, w 1Be T N-1Weight, DT nBe the direct score value between the n-1 of terminal and the n time service interaction, w 2Be DT nWeight, RT is the recommendation evaluation of estimate of terminal, w 3For recommending the weight of evaluation of estimate RT, w 1+ w 2+ w 3=1,
DT wherein nRelevant with the scoring of described current point in time.
5. according to claim 3 or 4 described evaluating systems, it is characterized in that:
Described business monitoring processor is adjusted the scoring of terminal based on coming with drag:
f ( X ) = &beta; 0 + &Sigma; m = 1 &lambda; &beta; m h m ( X )
Wherein, f (X) is the self-adaptation appraisal result, h m(X) be effective basis function, β mBe the weight of basis function, β 0Be the intercept item, λ is the number of basis function.
6. appraisal procedure is used for each evaluating system of claim 1-5, and described appraisal procedure may further comprise the steps:
The initial score processor carries out initial assessment based on the assessment related data of the current business of the assessment related data of terminal and terminal to terminal and current business thereof, calculates the scoring of current point in time; And
The accumulative total score processor is marked and the recommendation score value based on scoring, the history of the current point in time that the initial score processor calculates, and terminal is added up scoring handle, and calculates comprehensive grading; And
Level of security determines that server determines the level of security of terminal based on the comprehensive grading of accumulative total score processor.
7. appraisal procedure according to claim 6 is characterized in that:
Determine server is determined the step of level of security of terminal based on the comprehensive grading of accumulative total score processor after further comprising the steps of at level of security: the business monitoring processor of described evaluating server is according to the scoring of the variation adjustment terminal of assessment related data, and determine that to level of security server sends warning message, thereby level of security is determined server and is adjusted the level of security of terminal.
8. according to claim 6 or 7 described appraisal procedures, it is characterized in that:
The step of the scoring of described initial score processor calculating current point in time is based on calculating with drag:
p = 1 1 + e - ( &beta; 0 + &Sigma; k = 1 m &beta; k x k )
Wherein, p is the rate of violation of the current business of the rate of violation of terminal or terminal, x kBe k the factor of the business of k factor of terminal or terminal, β kBe the weight of k the factor, β 0Be the intercept item.
9. appraisal procedure according to claim 8 is characterized in that:
The scoring of described accumulative total score processor is based on calculating with drag:
T n=w 1T n-1+w 2DT n+w 3RT
Wherein, T nFor terminal is finished the n time accumulative total scoring after the service interaction, T N-1For terminal is finished the n-1 time accumulative total scoring after the service interaction, w 1Be T N-1Weight, DT nBe the direct score value between the n-1 of terminal and the n time service interaction, w 2Be DT nWeight, RT is the recommendation evaluation of estimate of terminal, w 3For recommending the weight of evaluation of estimate RT, w 1+ w 2+ w 3=1,
DT wherein nRelevant with the scoring of described current point in time.
10. it is characterized in that according to Claim 8 or 9 described appraisal procedures:
Described business monitoring processor is adjusted the scoring of terminal based on coming with drag:
f ( X ) = &beta; 0 + &Sigma; m = 1 &lambda; &beta; m h m ( X )
Wherein, f (X) is the self-adaptation appraisal result, h m(X) be effective basis function, β mBe the weight of the factor, β 0Be the intercept item, λ is the number of the factor.
11. an information interaction system comprises:
First terminal;
Second terminal, second terminal will be carried out intended service to first terminal in the predetermined execution time;
The 3rd terminal; And
Central server, described central server link to each other with first terminal, second terminal and the 3rd terminal respectively, and described central server comprises:
Database is used to store the assessment related data of second terminal;
Evaluating server is used for utilizing the assessment related data of database that second terminal and business thereof are assessed; And
Level of security is determined server, is used for determining the level of security of second terminal,
Wherein, described evaluating server comprises:
The initial score processor is used for based on the assessment related data of the current business of the assessment related data of second terminal and second terminal second terminal and current business thereof being carried out initial assessment, calculates the scoring of current point in time;
The accumulative total score processor, scoring, historical scoring and the recommendation score value of the current point in time that calculates based on the initial score processor add ups scoring to second terminal and handle, the calculating comprehensive grading,
Described level of security determines that server determines the level of security of second terminal based on the comprehensive grading of accumulative total score processor,
Described central server determines that based on level of security the level of security of second terminal that server is determined controls the service interaction of first terminal, second terminal and the 3rd terminal.
CN2013101903824A 2013-01-24 2013-05-21 Evaluating system, information interaction system with same and evaluating method Pending CN103226668A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2013101903824A CN103226668A (en) 2013-01-24 2013-05-21 Evaluating system, information interaction system with same and evaluating method

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN 201310027737 CN103093105A (en) 2013-01-24 2013-01-24 Evaluating system, information interactive system comprising evaluating system, and evaluating method
CN201310027737.8 2013-01-24
CN2013101903824A CN103226668A (en) 2013-01-24 2013-05-21 Evaluating system, information interaction system with same and evaluating method

Publications (1)

Publication Number Publication Date
CN103226668A true CN103226668A (en) 2013-07-31

Family

ID=48205664

Family Applications (2)

Application Number Title Priority Date Filing Date
CN 201310027737 Pending CN103093105A (en) 2013-01-24 2013-01-24 Evaluating system, information interactive system comprising evaluating system, and evaluating method
CN2013101903824A Pending CN103226668A (en) 2013-01-24 2013-05-21 Evaluating system, information interaction system with same and evaluating method

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CN 201310027737 Pending CN103093105A (en) 2013-01-24 2013-01-24 Evaluating system, information interactive system comprising evaluating system, and evaluating method

Country Status (1)

Country Link
CN (2) CN103093105A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103856568A (en) * 2014-03-25 2014-06-11 深圳市中兴移动通信有限公司 Terminal and system for prompting safety state of user terminal and implementation method
CN106326525A (en) * 2016-08-02 2017-01-11 武汉科技大学 Hot rolling deformation resistance prediction method based on generalized additive model

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103607319A (en) * 2013-11-14 2014-02-26 福建伊时代信息科技股份有限公司 Method and system for network risk treatment
CN108243189B (en) * 2018-01-08 2020-08-18 平安科技(深圳)有限公司 Network threat management method and device, computer equipment and storage medium
CN110490274B (en) * 2019-10-17 2020-02-07 支付宝(杭州)信息技术有限公司 Method and device for evaluating interaction event

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030036996A1 (en) * 2001-08-16 2003-02-20 Lazerson Jeffrey M. Credit/financing process
CN1971610A (en) * 2006-12-18 2007-05-30 中国工商银行股份有限公司 System and method for evaluating bank lending risks
CN102333307A (en) * 2011-09-28 2012-01-25 北京航空航天大学 Wireless sensor network (WSN) trust evaluation method based on subjective belief
CN102831521A (en) * 2011-06-14 2012-12-19 李安渝 Enterprise dynamic credit rating method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030036996A1 (en) * 2001-08-16 2003-02-20 Lazerson Jeffrey M. Credit/financing process
CN1971610A (en) * 2006-12-18 2007-05-30 中国工商银行股份有限公司 System and method for evaluating bank lending risks
CN102831521A (en) * 2011-06-14 2012-12-19 李安渝 Enterprise dynamic credit rating method
CN102333307A (en) * 2011-09-28 2012-01-25 北京航空航天大学 Wireless sensor network (WSN) trust evaluation method based on subjective belief

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
屠海波: "基于logistic模型的违约概率测算研究", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 *
李小勇等: "大规模分布式环境下动态信任模型研究", 《软件学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103856568A (en) * 2014-03-25 2014-06-11 深圳市中兴移动通信有限公司 Terminal and system for prompting safety state of user terminal and implementation method
CN103856568B (en) * 2014-03-25 2019-03-19 努比亚技术有限公司 A kind of terminal prompting user terminal safe condition, system and implementation method
CN106326525A (en) * 2016-08-02 2017-01-11 武汉科技大学 Hot rolling deformation resistance prediction method based on generalized additive model
CN106326525B (en) * 2016-08-02 2019-09-10 武汉科技大学 Hot rolling deformation drag forecasting procedure based on Generalized Additive Models

Also Published As

Publication number Publication date
CN103093105A (en) 2013-05-08

Similar Documents

Publication Publication Date Title
KR102124979B1 (en) Server and methor for performing order excution for stock trading
CN103226668A (en) Evaluating system, information interaction system with same and evaluating method
Matias et al. Forecasting performance of nonlinear models for intraday stock returns
Blevins Sequential Monte Carlo methods for estimating dynamic microeconomic models
McCarthy Contending with uncertainty in conservation management decisions
CN103853786A (en) Method and system for optimizing database parameters
Arshadi Khamseh et al. A new fuzzy TOPSIS‐TODIM hybrid method for green supplier selection using fuzzy time function
He et al. Realization utility with adaptive reference points
Lee et al. Generating synthetic bitcoin transactions and predicting market price movement via inverse reinforcement learning and agent-based modeling
Kefer et al. Fuzzy multicriteria ABC supplier classification in global supply chain
CN115577152A (en) Online book borrowing management system based on data analysis
Boettiger et al. Optimal management of a stochastically varying population when policy adjustment is costly
Spagnolo et al. Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables
Thomas et al. A neural network for the reduction of a product-driven system emulation model
Hu et al. Dynamic pricing for airline revenue management under passenger mental accounting
KR102124978B1 (en) Server and methor for performing order excution for stock trading
Luna et al. Online estimation of stochastic volatility for asset returns
Tsopa et al. Construction project management technology based on the theory of system stability
CN110809778A (en) Stock price prediction support system and method
Chua et al. Sensitivity analysis on responsive pricing and production under imperfect demand updating
Jumadinova et al. A multi-agent prediction market based on boolean network evolution
Grillenzoni Sequential smoothing for turning point detection with application to financial decisions
Dhakshayani et al. Demand forecasting model for slow moving items
Thompson et al. Agent-based simulations of financial markets: zero-and positive-intelligence models
Wen Probabilistic wind power forecasting with missing values via adaptive quantile regression

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C53 Correction of patent of invention or patent application
CB02 Change of applicant information

Address after: 100053 Beijing city Xicheng District street under recreation building No. 7 105

Applicant after: Wang Shadi

Address before: 100054, room 605, Xin Mao mansion, No. 15 Finance Street, Beijing, Xicheng District

Applicant before: Wang Shadi

C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20130731