CN109803343A - Mobile application Node Credit evaluation method, device and readable storage medium storing program for executing - Google Patents
Mobile application Node Credit evaluation method, device and readable storage medium storing program for executing Download PDFInfo
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Abstract
The embodiment of the invention provides a kind of mobile application Node Credit evaluation method, device and readable storage medium storing program for executing, the mobile application Node Credit evaluation method includes: the credit value for obtaining mobile application, obtain the node path of user's operation mobile application, according to the credit value and node path of the mobile application, the Node Credit of mobile application is determined.By implementing the present invention, obtain the node path of the user's operation mobile application, then according to the credit value of the mobile application and the node path, determine the Node Credit of mobile application, to achieve the purpose that the operation behavior dynamic evaluation credit worthiness based on user, solves the problems, such as the assessment result inaccuracy in the prior art to mobile application behavior.
Description
Technical field
The present invention relates to mobile message security technology areas, and in particular to a kind of mobile application Node Credit evaluation side
Method, device and readable storage medium storing program for executing.
Background technique
As mobile communication technology, development of Mobile Internet technology flourish, mobile terminal is in for people's lives
Indispensable component part.By the end of the end of the year 2017, global smart phone user has reached 2,600,000,000；The smart phone in China
User has also been more than 5.27 hundred million in by the end of June, 2017, surmounts PC as mainstream network tool；And hand within Chinese territory
Machine netizen quantity has reached 7.8 hundred million people in 2017, and smart phone networked terminals have then reached 11.3 hundred million.It is a large amount of on mobile phone
Mobile application to people's lives while offering convenience, incident also a large amount of Information Security Risk,
Internet interconnects security threat that bring actual time safety hidden danger, junk information generate safely, virus implantation bring
Security threat, operator save the security threat etc. that privacy of user data are hidden.
Currently, laying particular emphasis on the behavior of analysis assessment mobile application, to the research of this problem to reduce security risk damage
It loses.The appraisal procedure that researcher proposes is concentrated mainly on the detection to security breaches, malicious code etc., lacks to mobile application
Behavior in operational process is analyzed and is judged, such as due to the behavior of user in mobile application, mode of operation is by a shape
State changes into another state, i.e. node changes, thus, how to carry out assessment to each node in mobile application is one
A problem to be solved, but the existing assessment to mobile application behavior is concentrated mainly on modeling and safety point to behavior
Two aspects are analysed, but can only all carry out static assessment to the credit worthiness of mobile application, it can not be to every single stepping of user
Real-time dynamic evaluation is carried out, causes assessment result inaccurate.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of mobile application Node Credit evaluation methods, device and readable
Storage medium, to solve the problems, such as the assessment result inaccuracy to mobile application behavior in the prior art.
According in a first aspect, the embodiment of the invention provides a kind of mobile application Node Credit evaluation methods, comprising: obtain
Take the credit value of the mobile application；Obtain the node path of mobile application described in user's operation；According to the mobile application
Credit value and the node path, determine the Node Credit of the mobile application.
With reference to first aspect, in first aspect first embodiment, mobile application described in the acquisition user's operation
The step of node path, comprising: obtain the operational state change of the mobile application；Wherein, each behaviour of the mobile application
Make state and corresponds to each node；The section of mobile application described in user's operation is determined according to the operational state change of the mobile application
Point path.
First embodiment with reference to first aspect, it is described to be answered according to the movement in first aspect second embodiment
Credit value and the node path, the step of determining the Node Credit of the mobile application, comprising: according to the node
Path judges the relationship between each preposition node of the destination node of the mobile application；According between each preposition node
Relationship, the mobile application credit value, obtain the historical operation status change credit value of the mobile application and wait change
Credit value；According to the historical operation status change credit value and the credit value to be changed, the section of the mobile application is calculated
Point credit worthiness.
Second embodiment with reference to first aspect, it is described to be grasped according to the history in first aspect third embodiment
The step of making status change credit value and the credit value to be changed, calculating the Node Credit of the mobile application, comprising: will
Node Credit of the ratio of the historic state transition credit value and the credit value to be changed as the mobile application.
With reference to first aspect, in the 4th embodiment of first aspect, the credit value for obtaining the mobile application
Step, comprising: obtain the first credit value of the mobile application in history preset time period；Obtain institute in the current preset period
State the second credit value of mobile application；According to first credit value and second credit value, the mobile application is obtained
Credit value.
4th embodiment with reference to first aspect, in the 5th embodiment of first aspect, when the acquisition history is preset
Between in section the step of the first credit value of the mobile application, comprising: according to user in the history preset time period to described
Mobile application uses time, access times and frequency of use, obtains the first credit value of the mobile application.
4th embodiment with reference to first aspect, in first aspect sixth embodiment, when the acquisition current preset
Between in section the step of the second credit value of the mobile application, comprising: answered according to the movement in the current preset period
The evaluation of cost of possession, time and user to the mobile application obtains the second credit value of the mobile application.
Second embodiment with reference to first aspect, in the 7th embodiment of first aspect, the historical operation state becomes
Credit value is moved to be calculated by the following formula to obtain: when the relationship between each preposition node is and when,When the relationship between each preposition node be or when, h (q (s))=MAX { h
(q(l))+Credit(e(l))}；Wherein, q (s) indicates that destination node, q (l) indicate the preposition node (assuming that node s is shared
Q preposition nodes, 0≤l≤q), e (l) indicates the preposition node to the path of the destination node, described in h (q (s)) expression
The historical operation status change credit value of destination node；H (q (l)) indicates the historical operation status change letter of the preposition node
Reputation value, wherein h (q (l))=0 when l=0；Credit (e (l)) indicates the preposition node to the path of the destination node
Credit value is indicated with the credit value of the mobile application.
Second embodiment with reference to first aspect, in the 8th embodiment of first aspect, the credit value to be changed is
It is calculated by the following formula:Wherein, q (s) indicates destination node, q
(l) the preposition node (assuming that node s shares q preposition nodes, 0≤l≤q) is indicated, e (l) indicates the preposition node extremely
The path of the destination node, j (q (s)) indicate the credit value to be changed of the destination node；J (q (l)) indicates described preposition
The credit value to be changed of node, wherein j (q (l))=0 when l=0；Credit (e (l)) indicates the preposition node to the mesh
The credit value for marking the path of node, is indicated with the credit value of the mobile application.
According to second aspect, the embodiment of the invention provides a kind of mobile application Node Credit evaluating apparatus, comprising: the
One obtains module, for obtaining the credit value of the mobile application；Second obtains module, moves described in user's operation for obtaining
The node path of application；Processing module determines the shifting for the credit value and the node path according to the mobile application
The Node Credit of dynamic application.
In conjunction with second aspect, in second aspect first embodiment, the second acquisition module includes: the first acquisition list
Member, for obtaining the operational state change of the mobile application；Wherein, each mode of operation of the mobile application corresponds to each
Node；First processing units, for determining mobile application described in user's operation according to the operational state change of the mobile application
Node path.
In conjunction with second aspect first embodiment, in second aspect second embodiment, the processing module includes: to sentence
Disconnected unit, for judging the relationship between each preposition node of the destination node of the mobile application according to the node path；
Second acquisition unit obtains the shifting for the credit value according to relationship, the mobile application between each preposition node
The historical operation status change credit value and credit value to be changed of dynamic application；The second processing unit, for being grasped according to the history
Make status change credit value and the credit value to be changed, calculates the Node Credit of the mobile application.
In conjunction with second aspect second embodiment, in second aspect third embodiment, described the second processing unit is also
For: the ratio that the historic state changes credit value and the credit value to be changed is believed as the node of the mobile application
Reputation degree.
According to the third aspect, the embodiment of the invention provides a kind of electronic equipment, comprising: at least one processor；And
The memory being connect at least one described processor communication；Wherein, be stored with can be by described at least one for the memory
Manage the computer program that device executes, the computer program executed by least one described processor so that it is described at least one
Processor executes mobile application Node Credit evaluation method described in first aspect or first aspect any embodiment.
According to fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, are stored thereon with calculating
Machine program is realized as described in first aspect or any embodiment of first aspect when the computer program is executed by processor
Mobile application Node Credit evaluation method.
Technical solution of the embodiment of the present invention, has the advantages that
The embodiment of the invention provides a kind of mobile application Node Credit evaluation method, the mobile application Node Credits
Evaluation method includes: the credit value for obtaining mobile application, obtains the node path of user's operation mobile application, is answered according to the movement
Credit value and node path determine the Node Credit of mobile application.Mobile application node through the embodiment of the present invention
Credit worthiness evaluation method first obtains the credit value of the mobile application, and user is when operating mobile application, such as user opens mobile phone
On an APP, then operate the APP, as user's operation acts, the state of the APP is also changing, each state pair
Answer a node, due to the user's operation APP reach a certain node path may there are many, obtain the user's operation shifting
The node path of dynamic application determines the node letter of mobile application then according to the credit value of the mobile application and the node path
Reputation degree is solved and is answered in the prior art movement to achieve the purpose that the operation behavior dynamic evaluation credit worthiness based on user
With the problem of the assessment result inaccuracy of behavior.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is a schematic diagram of example 1 according to an embodiment of the present invention；
Fig. 2 is another schematic diagram of example 2 according to an embodiment of the present invention；
Fig. 3 a is a schematic diagram of node path according to an embodiment of the present invention；
Fig. 3 b is another schematic diagram of node path according to an embodiment of the present invention；
Fig. 3 c is another schematic diagram of node path according to an embodiment of the present invention；
Fig. 4 is the general illustration of node path according to an embodiment of the present invention；
Fig. 5 is a schematic diagram of mobile application Node Credit evaluation method according to an embodiment of the present invention；
Fig. 6 is another schematic diagram of mobile application Node Credit evaluation method according to an embodiment of the present invention；
Fig. 7 is a schematic diagram of mobile application Node Credit evaluation method according to the preferred embodiment of the invention；
Fig. 8 is another schematic diagram of mobile application Node Credit evaluation method according to the preferred embodiment of the invention；
Fig. 9 is the structural block diagram of mobile application Node Credit evaluating apparatus according to an embodiment of the present invention；
Figure 10 is the hard of the electronic equipment of the mobile application Node Credit evaluation method provided according to embodiments of the present invention
Part structural schematic diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those skilled in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
In practical application APP, what user was done is exactly to send request, and server end can return ask after receiving the request
Content is sought, this request content is so-called resource, i.e., what we wanted returns the result also or be the terminal of acquisition
File, log etc..
User is exactly in the various functions using APP, is to be obtained by using its various function in fact when using APP
Take desired resource.By taking common word function as an example, when we use its editting function, we are actually to obtain it
It is supplied to our memory headroom resource, visualization interface resource etc..Therefore, there is corresponding moneys for each function
Source.The resource that we want, referred to as target resource in order to obtain, we sometimes need to use many functions of APP simultaneously.
In this manner it is possible to which the process of acquisition target resource is understood are as follows: resource is gradually obtained according to certain path, until reaching acquisition most
Whole target resource.To modify in word for font color, it can be found that modifying this target resource of font color obtaining
When, the sequence that we obtain resource is: opening, and-start menu-gets colors-modifies, in this way, obtaining target resource process can
To be abstracted as a Directed Graph Model, the node of model can be indicated with final result-resource of function, as shown in Figure 1, on
Stating node is resource.Font color can also have a kind of situation of Fig. 2 in modification word, as shown in Fig. 2, can pass through function
Opening-right button-font-gets colors-modifies this path and function also available target resource.Thus it can also be seen that
Node in Directed Graph Model, which there must be OR or AND relation, could describe this process, as shown in Fig. 3 a, Fig. 3 b and Fig. 3 c,
When node 1 to be reached, i.e. acquisition resource 1, node 1 may can be reached by node 2 or node 3 there are three types of situation,
As shown in Figure 3a；Or to reach node 1 and must be combined by node 2 and node 3, node 1 can be reached, as shown in Figure 3b；
Either only node 2 directly reaches this paths of node 1.Therefore, for the evaluation of mobile application Node Credit, it should
In conjunction with the node path of the user's operation mobile application.
The embodiment of the invention provides a kind of mobile application Node Credit evaluation methods, are applied to mobile application, such as
APP etc. on APP on mobile phone, pad, the embodiment of the present invention illustrates by taking the mobile application on mobile phone as an example, in conjunction in Fig. 4
Courses of action explanation.As shown in figure 5, the mobile application Node Credit evaluation method of the embodiment of the present invention includes:
Step S501: the credit value of mobile application is obtained；The credit value of mobile application is actually to comment application function
Valence can obtain the credit value of mobile application in several ways.
Step S502: the node path of user's operation mobile application is obtained；Specifically, user is when operating mobile application,
Many paths can be had by reaching destination node, such as node S10 is reached in Fig. 4, can be gone out from S1 or S2 or S3 or S4
Hair, can reach, and obtain the actual node path of the user's operation mobile application here.
Step S503: according to the credit value of the mobile application and the node path, the node prestige of the mobile application is determined
Degree.Specifically, after obtaining the credit value of mobile application and the node path of user's operation, according to above-mentioned two parameter, evaluation is moved
The Node Credit of dynamic application.
Through the above steps, the credit value of mobile application is obtained, the node path of the user's operation mobile application, root are obtained
According to the credit value and the node path of the mobile application, determine that the Node Credit of mobile application, such as user are opened on mobile phone
An APP, then operate the APP, as user's operation acts, the state of the APP is also changing, and each state is corresponding
One node, due to the user's operation APP reach a certain node path may there are many, obtain the user's operation movement
The node path of application determines the node prestige of mobile application then according to the credit value of the mobile application and the node path
Degree, to achieve the purpose that the operation behavior dynamic evaluation credit worthiness based on user, solves in the prior art to mobile application
The problem of the assessment result inaccuracy of behavior.
Above-mentioned steps S501 is related to obtaining the credit value of mobile application, in a specific embodiment, such as Fig. 6 institute
Show, which includes:
Step S5011: the first credit value of mobile application in history preset time period is obtained；
Specifically, time, access times and use are used to the mobile application according to user in history preset time period
Frequency obtains the first credit value of mobile application:
Credit (Priori)=δ Credit (time)+ε Credit (count)+γ Credit
(frequency) (1)
In formula (1), Credit (Priori) indicates the first credit value of mobile application, i.e. history credit value；Credit
(time) indicate that user is to the credit value using the time of the mobile application in history preset time period；Credit (count) table
Show that user is to the credit value of the access times of the mobile application in history preset time period；Credit (frequency) expression is gone through
Credit value of the user to the frequency of use of the mobile application in history preset time period；Wherein, δ, ε, γ >=0, and+γ=1 δ+ε.
Step S5012: the second credit value of mobile application in the current preset period is obtained；
Specifically, the movement is answered according to cost of possession, time and the user of mobile application in the current preset period
Evaluation obtains the second credit value of mobile application:
In formula (2), Credit (Posterior) indicates the second credit value of mobile application, i.e., current credit value；
Memory, the power consumption that Credit (Cost (Budget)) indicates that mobile application is estimated consume；Credit (Cost (Reality)) table
Show mobile application physical memory, power consumption consumption；Credit (Time (Budget)) indicates that the node variation of mobile application is pre-
The deadline estimated；Credit (Time (Reality)) indicates that the node of mobile application changes the actual deadline；Credit
(Time (Feed)) indicates that user feeds back the evaluation of mobile application in the current preset period.
Step S5013: according to first credit value and second credit value, the credit value of mobile application is obtained.
Specifically, it is calculated by the following formula the credit value of mobile application:
Credit (e)=α Credit (Priori)+β Credit (Posterior) (3)
In formula (3), Credit (e) indicates the credit value of mobile application；Credit (Priori) indicates mobile application
First credit value, i.e. history credit value；Credit (Posterior) indicates the second credit value of mobile application, i.e., current prestige
Value；α, β >=0, alpha+beta=1.
Through the above steps, by calculating the history credit value and current credit value of mobile application, user is combined to this
Mobile application uses time, access times and frequency of use and the cost of the mobile application, time and user feedback, comes
The credit value of mobile application is finally calculated, evaluates to client the mobile application, is provided for the evaluation of subsequent Node Credit
Theoretical foundation.
Above-mentioned steps S502 is related to obtaining the node path of the user's operation mobile application, in a better embodiment
In, as shown in fig. 7, the step includes:
Step S5021: the operational state change of the mobile application is obtained；Wherein, each mode of operation of the mobile application
Corresponding each node；
Step S5022: the node road of the user's operation mobile application is determined according to the operational state change of the mobile application
Diameter.
After the credit value for obtaining mobile application, the operational state change of the mobile application, i.e. user's operation shifting are obtained
Dynamic application, when so that mobile application reaching node S8 from node S1, mode of operation necessarily changes, and obtains the operational state change,
The node path of the user's operation mobile application, the operation shape of mobile application are determined according to the operational state change of the mobile application
State changes, then can generate a courses of action, can determine the node path of the user's operation mobile application accordingly, i.e., really
When determining the user's operation mobile application makes its node reach S10, which item is courses of action be specifically.Then further according to mobile application
Credit value and the node path, determine the Node Credit of mobile application.
Through the above steps, the node road of user's operation mobile application is determined based on the operational state change of mobile application
Diameter assesses credit worthiness based on the operation behavior of user to provide path reference frame for subsequent calculate node credit worthiness,
More accurate compared with static evaluation in the prior art, reliability is higher.
Above-mentioned steps S503 is related to credit value and the node path according to the mobile application, determines the mobile application
Node Credit, in a preferred embodiment, as shown in figure 8, the step includes:
Step S5031: according to the node path, judge the pass between each preposition node of the destination node of the mobile application
System；It specifically, may be the relationship of OR between each preposition node of the destination node of mobile application, it is also possible to the relationship of AND,
Such as shown in Fig. 4, the preposition node S8 and S9 of S10 are the relationships of AND, and the preposition node S1 and S2 of S5 is or relationship；
Step S5032: according to the relationship between each preposition node, the credit value of the mobile application obtains the movement and answers
Historical operation status change credit value and credit value to be changed；
Step S5033: according to the historical operation status change credit value and credit value to be changed, the mobile application is calculated
Node Credit.
Specifically, when the relationship between each preposition node is with (AND):
The historical operation status change credit value are as follows:
In formula (4), q (s) indicates that destination node, q (l) indicate the preposition node (assuming that node s shared q preposition
Node, 0≤l≤q), e (l) indicates the preposition node to the path of the destination node, and h (q (s)) indicates the target section
The historical operation status change credit value of point；H (q (l)) indicates the historical operation status change credit value of the preposition node,
In, h (q (l))=0 when l=0；Credit (e (l)) indicates the credit value in path of the preposition node to the destination node,
It is indicated with the credit value of the mobile application.
It is somebody's turn to do credit value to be changed are as follows:
In formula (5), q (s) indicates that destination node, q (l) indicate the preposition node (assuming that node s shared q preposition
Node, 0≤l≤q), e (l) indicates the preposition node to the path of the destination node, and j (q (s)) indicates the target section
The credit value to be changed of point；J (q (l)) indicates the credit value to be changed of the preposition node, wherein j (q (l))=0 when l=0；
Credit (e (l)) indicates the credit value in path of the preposition node to the destination node, with the prestige of the mobile application
Value indicates.
The historic state is changed into the ratio of credit value and credit value to be changed as the Node Credit of mobile application:
In formula (6), C (s) is the Node Credit of mobile application.
When the relationship between each preposition node be or when:
The historical operation status change credit value are as follows:
H (q (s))=MAX { h (q (l))+Credit (e (l)) } (7)
It is somebody's turn to do credit value to be changed are as follows:
The same formula of meaning (4) of parameter and formula (5) in above-mentioned formula (7) and formula (8), details are not described herein.
The historic state is changed into the ratio of credit value and credit value to be changed as the Node Credit of mobile application:
When node S only has a pre action state node, i.e. when relationship in Fig. 3 c:
The historical operation status change credit value are as follows:
H (q (s)=h (q (l)+Credit (e (l)) (10)
It is somebody's turn to do credit value to be changed are as follows:
J (q (s))=j (q (l))+Credit (e (l)) (11)
The Node Credit of the mobile application are as follows:
The same above-mentioned formula of meaning (4) of formula (10), formula (11) and the parameter in formula (12), (5) (6), herein not
It repeats again.
When pre action state node is not present in node S.Such as node S1, node S2, node S3 and node in Fig. 4
When S4, i.e. node S are leaf node,
The historical operation status change credit value and credit value to be changed are as follows:
H (s)=0, j (s)=0 (13)
The Node Credit is equal to the credit value of above-mentioned calculated mobile application.
Through the above steps, according to node path, judge the pass between each preposition node of the destination node of mobile application
System, according to the credit value of relationship, mobile application between each preposition node, obtains the historical operation status change of mobile application
Credit value and credit value to be changed according to the historical operation status change credit value and are somebody's turn to do credit value to be changed, calculate movement and answers
Node Credit carries out objective and accurate evaluation to each node credit value based on the operation behavior of user.
The embodiment of the present invention give a specific node historical operation status change credit value, credit value to be changed and
The sample calculation of Node Credit, is illustrated in conjunction with Fig. 4, for a mobile application APP, it is assumed that according to formula (1), formula
(2) and the credit value of mobile application that is calculated of formula (3) is 1, certainly, in practical applications, the prestige of the mobile application
It is worth subject to according to actually calculating, e.g. 0.8,0.6 etc., is illustrated for 1 in the embodiment of the present invention:
Firstly, for node S1, node S2, node S3 and node S4, according to formula (13), this available four nodes
(vertical operation status change credit value, credit value to be changed) are as follows:
w(s1)=w (h (s1),j(s1))=(0,0),
w(s2)=w (h (s2),j(s2))=(0,0),
w(s3)=w (h (s3),j(s3))=(0,0),
w(s4)=w (h (s4),j(s4))=(0,0),
w(s7)=w (h (s7),j(s7))=(0,0)；
According to formula (7), (8), (9), have for node S5 and node S6:
h(s5)=MAX { h (s1)+Credit(e(s1)),h(s2)+Credit(e(s2))={ 0+1,0+1 }=1；
j(s5)=h (s1)+h(s2)+Credit(e(s1))+Credit(e(s2))=0+0+1+1=2；
C(s5)=1/2=0.5；
h(s6)=MAX { h (s3)+Credit(e(s3)),h(s4)+Credit(e(s4))={ 0+1,0+1 }=1；
j(s6)=h (s3)+h(s4)+Credit(e(s3))+Credit(e(s4))=0+0+1+1=2；
C(s6)=1/2=0.5
According to formula (4), (5), (6), have for node S8:
h(s8)=h (s5)+h(s6)+Credit(e(s5))+Credit(e(s6))=1+1+1+1=4；
j(s8)=j (s5)+j(s6)+Credit(e(s5))+Credit(e(s6))=2+2+1+1=6；
C(s8)=4/6=0.67
According to formula (10), (11), (12), have for node S9:
h(s9)=h (s7)+Credit(e(s7))=0+1=1；
j(s9)=j (s7)+Credit(e(s7))=0+1=1；
C(s9)=1.0
According to formula (4), (5), (6), have for node S10:
h(s10)=h (s8)+h(s9)+Credit(e(s8))+Credit(e(s9))=4+1+1+1=7；
j(s10)=j (s8)+j(s9)+Credit(e(s8))+Credit(e(s9))=6+1+1+1=9；
C(s10)=0.78
By above-mentioned calculating, the Node Credit contrast table of each node is as shown in table 1 in Fig. 4.
1 Node Credit contrast table of table
According to calculated Node Credit, it will thus be seen that the value of Node Credit be by leaf node to root node gradually
Increase.Therefore, the resource node obtained with user increases, and Permission Levels acquired in user can also increase, and thus move
It is dynamic that also there is higher approval using behavior.
The mobile application Node Credit evaluation method of the embodiment of the present invention, the credit value of mobile application are defined as history letter
The sum of reputation value and the weighting of new credit value, history credit value are the linear weighted function using time, access times and frequency of use, newly
Credit value be use cost, use the linear weighted function of time and user feedback；The embodiment of the present invention proposes to use prestige for the first time
It spends to measure the reliability and security of resource status node, with having changed credit value and ratio wait change total credit value is counted
Calculate, and point four kinds of situations: preposition node is AND relation, preposition node is OR relationship, only a preposition node, without preposition section
Situation formulas for calculating in point four.The embodiment of the present invention passes through case verification, mobile application section according to an embodiment of the present invention
Point the calculated Node Credit of credit worthiness evaluation method, incrementally increased by leaf node to root node, side demonstrate with
The resource node that family obtains increases, and Permission Levels acquired in user can also increase, therefore mobile application behavior also has more
High approval.
The embodiment of the invention provides a kind of mobile application Node Credit evaluating apparatus, and the device is for realizing above-mentioned reality
Example and preferred embodiment are applied, the descriptions that have already been made will not be repeated.As used below, term " module " may be implemented
The combination of the software and/or hardware of predetermined function.Although device described in following embodiment is preferably realized with software,
The realization for being the combination of hardware or software and hardware is also that may and be contemplated.
The embodiment of the present invention provides a kind of mobile application Node Credit evaluating apparatus, as shown in figure 9, the mobile application section
Point credit worthiness evaluating apparatus includes: that the first acquisition module 91, second obtains module 92 and processing module 93,
Wherein, first module 91 is obtained, for obtaining the credit value of mobile application；Particular content is detailed in step S501 institute
It states；
Second obtains module 92, for obtaining the node path of the user's operation mobile application；Particular content is detailed in step
Described in S502；
Processing module 93 determines the node of mobile application for the credit value and the node path according to the mobile application
Credit worthiness.Particular content is detailed in described in step S503.
Mobile application Node Credit evaluating apparatus through the embodiment of the present invention, resource status section is measured with credit worthiness
Point reliability and security, i.e., each node is evaluated based on the operation behavior of user, compared to existing static evaluation method,
Evaluation result is more objective and accurate.
In a preferred embodiment, the embodiment of the present invention second acquisition module 92 include: first acquisition unit and
First processing units, wherein first acquisition unit is used to obtain the operational state change of the mobile application, wherein mobile application
Each mode of operation corresponds to each node；First processing units are used to determine user according to the operational state change of the mobile application
Operate the node path of the mobile application.
In a specific embodiment, processing module 93 includes: judging unit, second acquisition unit and second processing list
Member, wherein judging unit is used to be judged between each preposition node of the destination node of the mobile application according to the node path
Relationship；Second acquisition unit is used for the credit value according to relationship, mobile application between each preposition node, obtains mobile application
Historical operation status change credit value and credit value to be changed；The second processing unit is used to be believed according to the historical operation status change
Reputation value and credit value to be changed, calculate the Node Credit of mobile application.The second processing unit is also used to: historic state is become
Move Node Credit of the ratio of credit value and credit value to be changed as mobile application.
The further function description of above-mentioned modules is identical as above-mentioned corresponding embodiment, and details are not described herein.
The embodiment of the invention also provides a kind of electronic equipment, and as shown in Figure 10, which may include processor
101 and memory 102, wherein processor 101 can be connected with memory 102 by bus or other modes, in Figure 10 with
For being connected by bus.
Processor 101 can be central processing unit (Central Processing Unit, CPU).Processor 101 may be used also
Think other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
The combination of the chips such as discrete hardware components or above-mentioned all kinds of chips.
Memory 102 is used as a kind of non-transient computer readable storage medium, can be used for storing non-transient software program, non-
Transient computer executable program and module, as the mobile application Node Credit evaluation method in the embodiment of the present invention is corresponding
Program instruction/module (for example, shown in Fig. 9 first obtain module 91, second obtain module 92 and processing module 93).Processing
Non-transient software program, instruction and module of the device 101 by operation storage in the memory 102, thereby executing processor
Various function application and data processing, i.e. mobile application Node Credit evaluation method in realization above method embodiment.
Memory 102 may include storing program area and storage data area, wherein storing program area can store operation system
Application program required for system, at least one function；It storage data area can the data etc. that are created of storage processor 101.In addition,
Memory 102 may include high-speed random access memory, can also include non-transient memory, and a for example, at least disk is deposited
Memory device, flush memory device or other non-transient solid-state memories.In some embodiments, it includes opposite that memory 102 is optional
In the remotely located memory of processor 101, these remote memories can pass through network connection to processor 101.Above-mentioned net
The example of network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
One or more of modules are stored in the memory 102, when being executed by the processor 101, are held
Mobile application Node Credit evaluation method in capable embodiment as viewed in figures 5-8.
Above-mentioned electronic equipment detail can correspond to corresponding associated description in embodiment referring to FIG. 1 to 9
Understood with effect, details are not described herein again.
It is that can lead to it will be understood by those skilled in the art that realizing all or part of the process in above-described embodiment method
Computer program is crossed to instruct relevant hardware and complete, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each mobile application Node Credit evaluation method.Its
In, the storage medium can be magnetic disk, CD, read-only memory (Read-Only Memory, ROM), random storage note
Recall body (Random Access Memory, RAM), flash memory (Flash Memory), hard disk (Hard Disk Drive,
Abbreviation: HDD) or solid state hard disk (Solid-State Drive, SSD) etc.；The storage medium can also include mentioned kind
The combination of memory.
Although being described in conjunction with the accompanying the embodiment of the present invention, those skilled in the art can not depart from the present invention
Spirit and scope in the case where various modifications and variations can be made, such modifications and variations are each fallen within by appended claims institute
Within the scope of restriction.
Claims (15)
1. a kind of mobile application Node Credit evaluation method characterized by comprising
Obtain the credit value of the mobile application；
Obtain the node path of mobile application described in user's operation；
According to the credit value of the mobile application and the node path, the Node Credit of the mobile application is determined.
2. mobile application Node Credit evaluation method according to claim 1, which is characterized in that the acquisition user behaviour
The step of making the node path of the mobile application, comprising:
Obtain the operational state change of the mobile application；Wherein, each mode of operation of the mobile application corresponds to each section
Point；
The node path of mobile application described in user's operation is determined according to the operational state change of the mobile application.
3. mobile application Node Credit evaluation method according to claim 2, which is characterized in that described according to the shifting
The step of moving the credit value and the node path applied, determining the Node Credit of the mobile application, comprising:
According to the node path, the relationship between each preposition node of the destination node of the mobile application is judged；
According to the credit value of relationship, the mobile application between each preposition node, the history of the mobile application is obtained
Mode of operation changes credit value and credit value to be changed；
According to the historical operation status change credit value and the credit value to be changed, the node letter of the mobile application is calculated
Reputation degree.
4. mobile application Node Credit evaluation method according to claim 3, which is characterized in that described to be gone through according to
The step of history mode of operation changes credit value and the credit value to be changed, and calculates the Node Credit of the mobile application, packet
It includes:
The ratio that the historic state changes credit value and the credit value to be changed is believed as the node of the mobile application
Reputation degree.
5. mobile application Node Credit evaluation method according to claim 1, which is characterized in that described to obtain the shifting
The step of credit value of dynamic application, comprising:
Obtain the first credit value of the mobile application in history preset time period；
Obtain the second credit value of the mobile application in the current preset period；
According to first credit value and second credit value, the credit value of the mobile application is obtained.
6. mobile application Node Credit evaluation method according to claim 5, which is characterized in that the acquisition history is pre-
If in the period the step of the first credit value of the mobile application, comprising:
Time, access times and frequency of use are used to the mobile application according to user in the history preset time period,
Obtain the first credit value of the mobile application.
7. mobile application Node Credit evaluation method according to claim 5, which is characterized in that the acquisition is current pre-
If in the period the step of the second credit value of the mobile application, comprising:
According to cost of possession, time and the user of the mobile application in the current preset period to the mobile application
Evaluation, obtains the second credit value of the mobile application.
8. mobile application Node Credit evaluation method according to claim 3, which is characterized in that the historical operation shape
State transition credit value is calculated by the following formula to obtain:
When the relationship between each preposition node be and when,
When the relationship between each preposition node be or when,
H (q (s))=MAX { h (q (l))+Credit (e (l)) }；
Wherein, q (s) indicates that destination node, q (l) indicate the preposition node (assuming that node s shares q preposition nodes, 0≤l
≤ q), e (l) indicates the preposition node to the path of the destination node, and h (q (s)) indicates the history behaviour of the destination node
Make status change credit value；H (q (l)) indicates the historical operation status change credit value of the preposition node, wherein h when l=0
(q (l))=0；Credit (e (l)) indicates the credit value in path of the preposition node to the destination node, with the movement
The credit value of application indicates.
9. mobile application Node Credit evaluation method according to claim 3, which is characterized in that the prestige to be changed
Value is calculated by the following formula to obtain:
Wherein, q (s) indicates that destination node, q (l) indicate the preposition node (assuming that node s shares q preposition nodes, 0≤l
≤ q), e (l) indicate the preposition node to the path of the destination node, j (q (s)) indicate the destination node wait change
Credit value；J (q (l)) indicates the credit value to be changed of the preposition node, wherein j (q (l))=0 when l=0；Credit(e
(l)) credit value for indicating path of the preposition node to the destination node, is indicated with the credit value of the mobile application.
10. a kind of mobile application Node Credit evaluating apparatus characterized by comprising
First obtains module, for obtaining the credit value of the mobile application；
Second obtains module, for obtaining the node path of mobile application described in user's operation；
Processing module determines the section of the mobile application for the credit value and the node path according to the mobile application
Point credit worthiness.
11. mobile application Node Credit evaluating apparatus according to claim 10, which is characterized in that described second obtains
Module includes:
First acquisition unit, for obtaining the operational state change of the mobile application；Wherein, each behaviour of the mobile application
Make state and corresponds to each node；
First processing units, for determining mobile application described in user's operation according to the operational state change of the mobile application
Node path.
12. mobile application Node Credit evaluating apparatus according to claim 11, which is characterized in that the processing module
Include:
Judging unit, for judging between each preposition node of the destination node of the mobile application according to the node path
Relationship；
Second acquisition unit obtains institute for the credit value according to relationship, the mobile application between each preposition node
State the historical operation status change credit value and credit value to be changed of mobile application；
The second processing unit, for calculating institute according to the historical operation status change credit value and the credit value to be changed
State the Node Credit of mobile application.
13. mobile application Node Credit evaluating apparatus according to claim 12, which is characterized in that the second processing
Unit is also used to: the historic state is changed the ratio of credit value and the credit value to be changed as the mobile application
Node Credit.
14. a kind of electronic equipment characterized by comprising
At least one processor；And
The memory being connect at least one described processor communication；Wherein, be stored with can be by described at least one for the memory
The computer program that a processor executes, the computer program are executed by least one described processor so that it is described at least
One processor perform claim requires the described in any item mobile application Node Credit evaluation methods of 1-9.
15. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
Such as claim 1-9 described in any item mobile application Node Credit evaluation methods are realized when being executed by processor.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101399683A (en) * | 2007-09-25 | 2009-04-01 | 中国科学院声学研究所 | Credit computing method in credit system |
| CN104573312A (en) * | 2014-10-22 | 2015-04-29 | 浙江中烟工业有限责任公司 | Log-based mobile application user satisfaction evaluation method |
| CN105512982A (en) * | 2015-12-13 | 2016-04-20 | 上海得辛医疗科技服务有限公司 | Medical service supply chain platform cooperative management effect evaluation algorithm |
| CN106875254A (en) * | 2017-01-20 | 2017-06-20 | 暨南大学 | A kind of Android malicious application control methods based on block chain technology |
| CN106874718A (en) * | 2016-07-27 | 2017-06-20 | 阿里巴巴集团控股有限公司 | privacy processing method, device and terminal |
| CN106874574A (en) * | 2017-01-22 | 2017-06-20 | 清华大学 | Mobile solution performance bottleneck analysis method and device based on decision tree |
| CN107194002A (en) * | 2017-06-14 | 2017-09-22 | 北京邮电大学 | Mobile solution influence power appraisal procedure and device |
| CN107509228A (en) * | 2017-07-24 | 2017-12-22 | 长安大学 | A kind of data trusted transmission method under car networking |
| CN108335132A (en) * | 2018-01-22 | 2018-07-27 | 中国平安人寿保险股份有限公司 | Analysis method, device, storage medium and the terminal of application program |
| CN108920160A (en) * | 2018-05-31 | 2018-11-30 | 深圳壹账通智能科技有限公司 | Upgrade method, device, server and the computer storage medium of application APP |
-
2019
- 2019-01-04 CN CN201910008650.3A patent/CN109803343A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101399683A (en) * | 2007-09-25 | 2009-04-01 | 中国科学院声学研究所 | Credit computing method in credit system |
| CN104573312A (en) * | 2014-10-22 | 2015-04-29 | 浙江中烟工业有限责任公司 | Log-based mobile application user satisfaction evaluation method |
| CN105512982A (en) * | 2015-12-13 | 2016-04-20 | 上海得辛医疗科技服务有限公司 | Medical service supply chain platform cooperative management effect evaluation algorithm |
| CN106874718A (en) * | 2016-07-27 | 2017-06-20 | 阿里巴巴集团控股有限公司 | privacy processing method, device and terminal |
| CN106875254A (en) * | 2017-01-20 | 2017-06-20 | 暨南大学 | A kind of Android malicious application control methods based on block chain technology |
| CN106874574A (en) * | 2017-01-22 | 2017-06-20 | 清华大学 | Mobile solution performance bottleneck analysis method and device based on decision tree |
| CN107194002A (en) * | 2017-06-14 | 2017-09-22 | 北京邮电大学 | Mobile solution influence power appraisal procedure and device |
| CN107509228A (en) * | 2017-07-24 | 2017-12-22 | 长安大学 | A kind of data trusted transmission method under car networking |
| CN108335132A (en) * | 2018-01-22 | 2018-07-27 | 中国平安人寿保险股份有限公司 | Analysis method, device, storage medium and the terminal of application program |
| CN108920160A (en) * | 2018-05-31 | 2018-11-30 | 深圳壹账通智能科技有限公司 | Upgrade method, device, server and the computer storage medium of application APP |
Non-Patent Citations (1)
| Title |
|---|
| 邵志鹏等: "基于操作行为的移动应用信誉度评估模型研究", 《太原理工大学学报》 * |
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Application publication date: 20190524 |