CN103684982A - Spam mail filtering processing method and system - Google Patents
Spam mail filtering processing method and system Download PDFInfo
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- CN103684982A CN103684982A CN201210358032.XA CN201210358032A CN103684982A CN 103684982 A CN103684982 A CN 103684982A CN 201210358032 A CN201210358032 A CN 201210358032A CN 103684982 A CN103684982 A CN 103684982A
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Abstract
The embodiment of the invention discloses a spam mail filtering processing method and a system. The method comprises that: an anti-spam mail rule sharing request sent by a first user after selection of a mail address of a second user from a friend relation list is received; an individualized first anti-spam mail rule formulated by the first user and an individualized second anti-spam mail rule formulated by the second user are acquired from an individualized user rule base; whether a first anti-spam mail rule is conflicted to a second anti-spam mail rule is detected; and if the first anti-spam mail rule is not conflicted to the second anti-spam mail rule, the first anti-spam mail rule is integrated into the second anti-spam mail rule so that a third anti-spam mail rule is obtained and acts as a newly individualized anti-spam mail rule for the second user, and a mail whose recipient address is the mail address of the second user is filtered on the basis of the third anti-spam mail rule. The filtering rules can be shared between the users so that effect of filtering spam mails is enhanced.
Description
Technical field
The present invention relates to anti-rubbish mail treatment technology, especially a kind of filtration treatment method and system of spam.
Background technology
User, use in the process of Email, can often receive various spams, for example, the various spams such as advertisement, recruitment, and the propelling movement frequency of spam is more and more higher, quantity more and more, has had a strong impact on user's checking and accepting, processing normal email.
For disposal of refuse mail, in e-mail system, adopted at present the anti-rubbish technology of traditional personalization, user receives after spam, extract sender's addresses of items of mail, Internet protocol (the Internet Protocol of spam, hereinafter to be referred as: IP) address and content keyword, then manual self-defined interpolation black and white lists, Internet protocol (Internet Protocol, hereinafter to be referred as IP) address and content keyword filtration rule, by e-mail system based on this filtering rule mode to sending to this user's mail to filter.But, increasing along with spam, user is tired in passive reply.
At least there is following problem in the anti-rubbish technology of above-mentioned traditional personalization therefore, adopting at present:
User is conventionally at the spam of receiving certain type, just consider to set up relevant filtering rule, like this, personalized anti-rubbish mail strategy between user is separate, the self-ordained filtering rule of independent maintenance separately, cannot between user, share flexibly filtering rule, cannot successfully manage spam.
Summary of the invention
Embodiment of the present invention technical problem to be solved is: a kind of filtration treatment method and system of spam is provided, to share filtering rule between user, improves the filter effect to spam.
A kind of Spam filtering processing method that the embodiment of the present invention provides, comprising:
Strategy is shared control unit and is received first user and by the first client, from good friend's relation list, select the Anti-Spam Policy sending after the second user's addresses of items of mail to share request, described in share addresses of items of mail that request comprises first user and the second user's addresses of items of mail;
Strategy is shared the control unit addresses of items of mail based on first user and the second user's addresses of items of mail respectively, obtains the second personalized Anti-Spam Policy of the first personalized Anti-Spam Policy that first user formulates and the second user formulation from personalized user rule base;
Whether study feedback unit detects the first Anti-Spam Policy and conflicts with the second Anti-Spam Policy;
If the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, policy synchronization unit is dissolved into the first Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization;
In response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.
A kind of Spam filtering treatment system that the embodiment of the present invention provides, comprising:
Personalized user rule base, the personalized Anti-Spam Policy of formulating for storing each user;
Strategy is shared control unit, for receiving the Anti-Spam Policy that first user sends from good friend's relation list is selected the second user's addresses of items of mail by the first client, share request, described in share addresses of items of mail that request comprises first user and the second user's addresses of items of mail; Addresses of items of mail based on first user and the second user's addresses of items of mail obtains the first personalized Anti-Spam Policy of first user formulation and the second personalized Anti-Spam Policy that the second user formulates from personalized user rule base respectively;
Whether study feedback unit, share for detection of strategy the first Anti-Spam Policy that control unit gets and conflict with the second Anti-Spam Policy;
Policy synchronization unit, be used for according to the testing result of study feedback unit, if the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, the first Anti-Spam Policy is dissolved in the second Anti-Spam Policy, is obtained the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization and be stored in personalized user rule base;
Mail delivery unit, be used in response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the 3rd Anti-Spam Policy based in personalized user rule base is that the mail of the second user's addresses of items of mail carries out filtration treatment to address of the addressee.
The filtration treatment method and system of the spam providing based on the above embodiment of the present invention, strategy is shared control unit reception first user and by the first client, from good friend's relation list, is selected the Anti-Spam Policy sending after the second user's addresses of items of mail to share after request, obtains respectively the first personalized Anti-Spam Policy of first user formulation and the second personalized Anti-Spam Policy that the second user formulates from personalized user rule base; Whether study feedback unit detects the first Anti-Spam Policy and conflicts with the second Anti-Spam Policy; If the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, policy synchronization unit is dissolved into the first Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization; In response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.The embodiment of the present invention can be shared individual Anti-Spam Policy by the good friend's relation list based on social networks, also referred to as anti-rubbish mail strategy or filter against spam strategy, thereby reach the common object of optimizing anti-rubbish strategy of common study feedback mechanism by social networks user, between user, realize sharing flexibly of anti-rubbish mail strategy, improved the filter effect to spam.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the flow chart of an embodiment of filtration treatment method of spam of the present invention.
Fig. 2 is the flow chart of another embodiment of filtration treatment method of spam of the present invention.
Fig. 3 is that embodiment of the present invention learning feedback unit adds the first Anti-Spam Policy an application example flow chart in social user's general rule storehouse.
Fig. 4 is the structural representation of an embodiment of filtration treatment system of spam of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
In existing techniques in realizing, between the main anti-rubbish mail strategy implementation with user self or user's individuality and general anti-refuse disposal system, collaborative technology realizes anti-rubbish mail strategy, and the social activity communication mechanism of the anti-rubbish mail strategy between user's individuality there is no research.The personalized anti-rubbish mail strategy of the embodiment of the present invention based on social networks share collocation method, can be based on anti-rubbish strategy between individuality by social networks mail tabulation, realize the sharing of anti-rubbish mail strategy between social networks user, feedback and cooperate optimization mechanism, realized concertedness and the flexibility problem of personalized anti-rubbish mail strategy between social networks user.
Fig. 1 is the flow chart of an embodiment of filtration treatment method of spam of the present invention.As shown in Figure 1, the filtration treatment method of this embodiment spam comprises:
101, strategy is shared control unit and is received first user and by the first client, from good friend's relation list, select the Anti-Spam Policy sending after the second user's addresses of items of mail to share request, and this shares addresses of items of mail that request comprises first user and the second user's addresses of items of mail.
102, strategy is shared the control unit addresses of items of mail based on first user and the second user's addresses of items of mail respectively, obtains the second personalized Anti-Spam Policy of the first personalized Anti-Spam Policy that first user formulates and the second user formulation from personalized user rule base.
103, whether study feedback unit detects the first Anti-Spam Policy and conflicts with the second Anti-Spam Policy.
104, if the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, policy synchronization unit is dissolved into the first Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization.
Otherwise, if the first Anti-Spam Policy conflicts with the second Anti-Spam Policy, can not carry out the subsequent operation of the present embodiment.
105, in response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.
Exemplarily, mail delivery unit wherein can be specifically mail transport agent (Mail Transfer Agent, hereinafter to be referred as: MTA) or mail distribution agency (Mail Delivery Agent, hereinafter to be referred as: MDA).
The filtration treatment method of the spam that the above embodiment of the present invention provides, strategy is shared control unit reception first user and by the first client, from good friend's relation list, is selected the Anti-Spam Policy sending after the second user's addresses of items of mail to share after request, obtains respectively the first personalized Anti-Spam Policy of first user formulation and the second personalized Anti-Spam Policy that the second user formulates from personalized user rule base; Whether study feedback unit detects the first Anti-Spam Policy and conflicts with the second Anti-Spam Policy; If the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, policy synchronization unit is dissolved into the first Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization; In response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.The embodiment of the present invention can be shared individual Anti-Spam Policy by the good friend's relation list based on social networks, also referred to as anti-rubbish mail strategy or filter against spam strategy, thereby reach the common object of optimizing anti-rubbish strategy of common study feedback mechanism by social networks user, between user, realize sharing flexibly of anti-rubbish mail strategy, improved the filter effect to spam.
In various embodiments of the present invention, Anti-Spam Policy can be specifically in conjunction with white list, Internet protocol (IP) address, URL(uniform resource locator) (Uniform Resource Locator based on blacklist, white list, blacklist, hereinafter to be referred as: filtering rule URL) or the rule of the information filtering based on keyword or other filtering rule of formulating arbitrarily can be also the combinations of above-mentioned any multiple filtering rule.
Fig. 2 is the flow chart of another embodiment of filtration treatment method of spam of the present invention.First user wishes the first Anti-Spam Policy having made when the second user in buddy list shares, and can from buddy list, select to send Anti-Spam Policy after the second user's addresses of items of mail and share request.As shown in Figure 2, the filtration treatment method of this embodiment spam comprises:
201, strategy is shared control unit and is received first user and by the first client, from good friend's relation list, select the Anti-Spam Policy sending after the second user's addresses of items of mail to share request, and this shares addresses of items of mail that request comprises first user and the second user's addresses of items of mail.
202, strategy is shared the control unit addresses of items of mail based on first user and the second user's addresses of items of mail respectively, obtains the second personalized Anti-Spam Policy of the first personalized Anti-Spam Policy that first user formulates and the second user formulation from personalized user rule base.
203, whether study feedback unit detects the first Anti-Spam Policy and conflicts with the second Anti-Spam Policy.For example, whether the filtration keyword of the first Anti-Spam Policy and the filtration keyword of the second Anti-Spam Policy have conflict.The standard of whether conflicting can preset or take existing convention, for example, can when the filtration keyword of the first Anti-Spam Policy is identical with the filtration keyword of the second Anti-Spam Policy, think that the first Anti-Spam Policy conflicts with the second Anti-Spam Policy.
If the first Anti-Spam Policy conflicts with the second Anti-Spam Policy, carry out 204 operation.Otherwise, if the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, carry out 207 operation.
204, study feedback unit is shared prompting message to the second client transmission Anti-Spam Policy of the second user, shares the first Anti-Spam Policy of first user to remind the second user whether to agree to.
205, the second client demonstration Anti-Spam Policy is shared prompting message and user interface is provided, agree to share after the feedback message of the first Anti-Spam Policy receiving the second user, to study feedback unit, forward the feedback message of agreeing to share the first Anti-Spam Policy.
206, study feedback unit sends and shares Indication message to policy synchronization unit.
207, policy synchronization unit is dissolved into the first Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization.
208, in response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.
According to the embodiment of the present invention concrete application, before the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment, general anti-rubbish mail processing unit in mailing system specifically can carry out pre-filtering processing to entering all mails of mailing system, for example, black and white lists based on general filters, general rule is filtered, and analogy is filtered based on general keywords such as " invoice ", " transfers ".
Another embodiment of the filtration treatment method of spam according to the present invention, if the first Anti-Spam Policy conflicts with the second Anti-Spam Policy, study feedback unit is shared prompting message to the second client transmission Anti-Spam Policy of the second user, the first Anti-Spam Policy of sharing first user to remind the second user whether to agree to, carry out embodiment illustrated in fig. 2 in 204 operation, this Anti-Spam Policy is shared prompting message and is comprised the addresses of items of mail of first user and the first Anti-Spam Policy of first user, wherein can also comprise the user name of first user.In operation 205, the second client demonstration Anti-Spam Policy is shared prompting message and user interface is provided.For example, after the second user is by the second client login World Wide Web (WWW) (web) mailbox, can see on the second client end interface show " user A has shared a filter against spam strategy to you; accept? " the user interface that the second user can provide by the second client, selects to check, accept, revise or refuse this filter against spam strategy.If user selects to accept this filter against spam strategy, start to continue to carry out 205 operation, that is: the second client forwards to study feedback unit the feedback message of agreeing to share the first Anti-Spam Policy.If user selects to check this filter against spam strategy, carry out following operation:
The second client, after receiving the feedback message of checking the first Anti-Spam Policy of second user's transmission, shows that the first Anti-Spam Policy also provides user interface; The second client, after the feedback message of modification the first Anti-Spam Policy that receives second user's transmission, receives the amended Anti-Spam Policy of user as the 4th Anti-Spam Policy;
Study feedback unit sends and shares Indication message to policy synchronization unit, shares Indication message and comprises the 4th Anti-Spam Policy;
Policy synchronization unit is dissolved into the 4th Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization.
Afterwards, can carry out 208 operation, in response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.
Based on above-described embodiment, study feedback unit can be to the Anti-Spam Policy between social user, and for example, IP address filtering is regular, information filtering is regular etc., mates, combines and adapt to, and builds optimum personalized filter against spam strategy.
Application above-described embodiment, when part user A wants the filter against spam strategy of oneself to be shared with the mail user B in this territory, the Anti-Spam Policy sharing function that mail user A can select individual to formulate on the mailbox WEB page, when user A select to determine while being shared with the mail user B in this territory, by the embodiment of the present invention, can automatically the filter against spam strategy of mail user A be shared to recommendation information and send on the WEB interface of mail user B.
In the filtration treatment method of the various embodiments described above spam of the present invention, by mail tabulation construction unit, the historical mail transmission/reception log based on first user generates good friend's relation list, and according to predetermined period, the up-to-date historical mail transmission/reception log based on first user upgrades good friend's relation list.
Particularly, mail tabulation construction unit can be from the historical mail transmission/reception log of first user Email Sender and recipient's relation, generate the good friend's relation list that represents social networks.
Concrete example of the filtration treatment embodiment of the method for spam according to the present invention and unrestricted, can also comprise following operation:
The first client first user is formulated the first personalized Anti-Spam Policy, and is transmitted to study feedback unit;
Study feedback unit is stored in the first Anti-Spam Policy in personalized user rule base.
Another concrete example of the filtration treatment embodiment of the method for spam according to the present invention is and unrestricted, and the first client first user is formulated the first personalized Anti-Spam Policy and specifically can be realized in the following manner:
During Rulemaking request that the first client sends to first user, output Anti-Spam Policy is formulated standard, and receives first user and based on Anti-Spam Policy, formulate the first Anti-Spam Policy of regulation enforcement.
Consider that personal user does not generally possess professional knowledge, for simplifying user, formulate Anti-Spam Policy complexity and triviality, and the format specification that improves the Anti-Spam Policy of user individual, in the embodiment of the present invention, can in each client, Anti-Spam Policy be set in advance and formulate standard, while receiving the Rulemaking request of first user transmission, output Anti-Spam Policy is formulated standard, for example, sender, mail keyword, URL feature and number, number of pictures, the Anti-Spam Policies such as annex are formulated the prompting of norm-setting keyword, allow user that rear generation the first Anti-Spam Policy is set respectively.
Another concrete example of the filtration treatment embodiment of the method for spam according to the present invention and unrestricted, study feedback unit is while being stored in personalized user rule base by the first Anti-Spam Policy, can between the first Anti-Spam Policy and social user's general rule storehouse, carry out the renewal of synchronizeing of dependency rule.
Exemplarily, the renewal of synchronizeing of carrying out dependency rule between the first Anti-Spam Policy and social user's general rule storehouse specifically can comprise:
Study feedback unit adds the first Anti-Spam Policy in social user's general rule storehouse, as the anti-rubbish mail general rule sample in social user's general rule storehouse.
Further exemplarily, study feedback unit adds the first Anti-Spam Policy in social user's general rule storehouse and specifically can realize in the following manner:
Whether study feedback unit detects between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse and conflicts;
If do not conflict between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse, determine whether apply this first Anti-Spam Policy in social user's general rule storehouse based on predefined management threshold condition.Specifically comprise:
Study feedback unit is identified the first Anti-Spam Policy and whether is met predefined management threshold condition;
In response to the first Anti-Spam Policy, whether meet predefined management threshold condition, study feedback unit adds the first Anti-Spam Policy in social user's general rule storehouse, as the anti-rubbish mail general rule sample in social user's general rule storehouse.
As shown in Figure 3, for embodiment of the present invention learning feedback unit adds the first Anti-Spam Policy an application example flow chart in social user's general rule storehouse.As shown in Figure 3, it comprises following operation:
301, whether study feedback unit detects between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse and conflicts.If do not conflict between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse, carry out 302 operation.
If conflict between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse, for example, if have anti-rubbish mail general rule sample to realize some rule in the first Anti-Spam Policy in social user's general rule storehouse, can not carry out the subsequent operation of the present embodiment.For example, in the first Anti-Spam Policy, be provided with 20 and filter keyword, this first Anti-Spam Policy is for handing over personalized Anti-Spam Policy, be not suitable for general, in social user's general rule storehouse, there is anti-rubbish mail general rule sample to comprise these 20 wherein 5 keywords that filter in keyword, the first Anti-Spam Policy is not added to social user's general rule storehouse.
302, study feedback unit is identified the first Anti-Spam Policy and whether is met predefined the first management threshold value P1 condition.
Wherein, the first management threshold values P1 is defined as the keyword matching number between each anti-rubbish mail general rule sample in the first Anti-Spam Policy and social user's general rule storehouse, and the keyword matching number that the first management threshold value P1 condition is defined as between certain the anti-rubbish mail general rule sample in the first Anti-Spam Policy and social user's general rule storehouse is more than or equal to P1.
If the first Anti-Spam Policy meets predefined the first management threshold value P1 condition, carry out 303 operation.Otherwise, if the first Anti-Spam Policy does not meet predefined the first management threshold value P1 condition, do not carry out the subsequent operation of the present embodiment.
303, study feedback unit is identified the first Anti-Spam Policy and whether is met predefined the second management threshold value P2 condition.
Wherein, the second management threshold value P2 is defined as feeding back the number of users of same Anti-Spam Policy and the ratio of whole mail server number of users, to determine whether realizing this rule in social user's general rule storehouse.When ending the number of users of current feedback the first Anti-Spam Policy and the ratio of whole mail server number of users and being more than or equal to the second management threshold value P2, think that the first Anti-Spam Policy meets predefined the second management threshold value P2 condition, carries out 304 operation.Otherwise, feed back the number of users of the first Anti-Spam Policy and the ratio of whole mail server number of users and be less than the second management threshold value P2, think that the first Anti-Spam Policy does not meet predefined the second management threshold value P2 condition, does not carry out the subsequent operation of the present embodiment.
The value of P1, P2 specifically can be set initial value by hand by keeper, follow-up can change the value of P1, P2 according to the actual conditions of operation.
304, study feedback unit adds the first Anti-Spam Policy in social user's general rule storehouse, as the anti-rubbish mail general rule sample in social user's general rule storehouse.
Exemplarily, the renewal of synchronizeing of carrying out dependency rule between the first Anti-Spam Policy and social user's general rule storehouse also can comprise:
Study feedback unit obtains with the first Anti-Spam Policy and sends to the first client according to the highest anti-rubbish mail general rule sample of preset matching Condition Matching degree and by upgrading prompting message from social user's general rule storehouse;
The first client is agreed to after the update request message with the highest anti-rubbish mail general rule Sample Refreshment the first Anti-Spam Policy of matching degree to first user, to study feedback unit, forwards update request message;
Study feedback unit is with the first Anti-Spam Policy in the highest anti-rubbish mail general rule Sample Refreshment personalized user rule base of matching degree.
Fig. 4 is the structural representation of an embodiment of filtration treatment system of spam of the present invention.The filtration treatment system of this embodiment can be used in the present invention the corresponding flow process of above-mentioned each filtration treatment embodiment of the method.As shown in Figure 4, it comprises that personalized user rule base 401, strategy share control unit 402, study feedback unit 403, policy synchronization unit 404 and mail delivery unit 405.
Wherein, personalized user rule base 401, the personalized Anti-Spam Policy of formulating for storing each user.
Strategy is shared control unit 402, for receiving the Anti-Spam Policy that first user sends from good friend's relation list is selected the second user's addresses of items of mail by the first client, share request, this shares addresses of items of mail that request comprises first user and the second user's addresses of items of mail; And the addresses of items of mail based on first user and the second user's addresses of items of mail respectively, from personalized user rule base 401, obtain the second personalized Anti-Spam Policy of the first personalized Anti-Spam Policy that first user formulates and the second user formulation.
Whether study feedback unit 403, share for detection of strategy the first Anti-Spam Policy that control unit 402 gets and conflict with the second Anti-Spam Policy.
The filtration treatment system of the spam that the above embodiment of the present invention provides, strategy is shared control unit reception first user and by the first client, from good friend's relation list, is selected the Anti-Spam Policy sending after the second user's addresses of items of mail to share after request, obtains respectively the first personalized Anti-Spam Policy of first user formulation and the second personalized Anti-Spam Policy that the second user formulates from personalized user rule base; Whether study feedback unit detects the first Anti-Spam Policy and conflicts with the second Anti-Spam Policy; If the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, policy synchronization unit is dissolved into the first Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization; In response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.The embodiment of the present invention can be shared individual Anti-Spam Policy by the good friend's relation list based on social networks, also referred to as anti-rubbish mail strategy or filter against spam strategy, thereby reach the common object of optimizing anti-rubbish strategy of common study feedback mechanism by social networks user, between user, realize sharing flexibly of anti-rubbish mail strategy, improved the filter effect to spam.
Another embodiment of the filtration treatment system of spam according to the present invention, study feedback unit 403, when being also used in the first Anti-Spam Policy and conflicting with the second Anti-Spam Policy, the second client transmission Anti-Spam Policy to the second user is shared prompting message, shares the first Anti-Spam Policy of first user to remind the second user whether to agree to; And receive the feedback message that the first Anti-Spam Policy is shared in agreement that the second client forwards, and 404 send and share Indication message to policy synchronization unit; The feedback message of the first Anti-Spam Policy is shared in this agreement, by the second client demonstration Anti-Spam Policy, share prompting message and user interface is provided, agree to share after the feedback message of the first Anti-Spam Policy receiving the second user, to study feedback unit 403, forward.Correspondingly, policy synchronization unit 404 also, for the Indication message of sharing in response to receiving 403 transmissions of study feedback unit, starts to carry out the first Anti-Spam Policy is dissolved into the operation in the second Anti-Spam Policy.
Another embodiment of the filtration treatment system of spam according to the present invention, Anti-Spam Policy is shared specifically can comprise the addresses of items of mail of first user and the first Anti-Spam Policy of first user in prompting message.Correspondingly, study feedback unit 403 is also for 404 sending and to share Indication message to policy synchronization unit, this is shared Indication message and comprises the 4th Anti-Spam Policy, the 4th Anti-Spam Policy by the second client after receiving the feedback message of checking the first Anti-Spam Policy that the second user sends, show the first Anti-Spam Policy and user interface is provided, after the feedback message of modification the first Anti-Spam Policy that receives second user's transmission, receive the amended Anti-Spam Policy of user and obtain.Correspondingly, policy synchronization unit 404 is also dissolved in the second Anti-Spam Policy for the 4th Anti-Spam Policy of sharing Indication message that study feedback unit 403 is sent, and obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization.
Again referring to Fig. 4, another embodiment of the filtration treatment system of spam according to the present invention, can also comprise mail tabulation construction unit 406, for the historical mail transmission/reception log based on first user, generate good friend's relation list, and according to predetermined period, the up-to-date historical mail transmission/reception log based on first user upgrades good friend's relation list.
Further, in the filtration treatment system of the spam of the above embodiment of the present invention, study feedback unit 403, can also be for receiving the first Anti-Spam Policy of the first client transmission and this first Anti-Spam Policy being stored in to personalized user rule base 401, this first Anti-Spam Policy is formulated by the first client by first user.
Further, then referring to Fig. 4, another embodiment of the filtration treatment system of spam according to the present invention, can also comprise social user's general rule storehouse 407, for storing anti-rubbish mail general rule sample.Correspondingly, study feedback unit 403 also for when the first Anti-Spam Policy is stored in to personalized user rule base 401, carries out the renewal of synchronizeing of dependency rule between the first Anti-Spam Policy and social user's general rule storehouse 407.
Concrete example of the filtration treatment system embodiment of spam according to the present invention and unrestricted, study feedback unit 403 carries out synchronizeing during renewal of dependency rule between the first Anti-Spam Policy and social user's general rule storehouse 407, specifically the first Anti-Spam Policy can be added in social user's general rule storehouse 407, as the anti-rubbish mail general rule sample in social user's general rule storehouse 407.
Exemplarily, whether study feedback unit 403 is while adding in social user's general rule storehouse 407 by the first Anti-Spam Policy, specifically detect between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse 407 and conflict; If do not conflict between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse 407, whether identification the first Anti-Spam Policy meets predefined management threshold condition; In response to the first Anti-Spam Policy, whether meet predefined management threshold condition, the first Anti-Spam Policy is added in social user's general rule storehouse 407, as the anti-rubbish mail general rule sample in social user's general rule storehouse 407.
Another concrete example of the filtration treatment system embodiment of spam according to the present invention and unrestricted, study feedback unit 403 carries out synchronizeing while upgrading of dependency rule between the first Anti-Spam Policy and social user's general rule storehouse 407, specifically can from social user's general rule storehouse 407, obtain with the first Anti-Spam Policy and send to the first client according to the highest anti-rubbish mail general rule sample of preset matching Condition Matching degree and by renewal prompting message; And the update request message that receives the first client forwarding, this update request message is agreed to after the update request message with the highest anti-rubbish mail general rule Sample Refreshment the first Anti-Spam Policy of matching degree to first user by the first client, to study feedback unit 403, forwards; And the first Anti-Spam Policy in the highest anti-rubbish mail general rule Sample Refreshment personalized user rule base 401 of matching degree.
According to the embodiment of the present invention concrete application, before the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment, can also to entering all mails of mailing system, carry out pre-filtering processing by the general anti-rubbish mail processing unit in mailing system, for example, black and white lists based on general filters, general rule is filtered, and analogy is filtered based on general keywords such as " invoice ", " transfers ".
In this specification, each embodiment all adopts the mode of going forward one by one to describe, and each embodiment stresses is the difference with other embodiment, same or analogous part cross-references between each embodiment.For device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part is referring to the part explanation of embodiment of the method.
May realize in many ways method of the present invention, system and equipment.For example, can realize method and system of the present invention by any combination of software, hardware, firmware or software, hardware, firmware.The said sequence that is used for the step of described method is only in order to describe, and the step of method of the present invention is not limited to above specifically described order, unless otherwise specified.In addition, in certain embodiments, can be also the program being recorded in recording medium by the invention process, these programs comprise for realizing the machine readable instructions of the method according to this invention.Thereby the present invention also covers storage for carrying out the recording medium of the program of the method according to this invention.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can complete by the relevant hardware of program command, aforesaid program can be stored in a computer read/write memory medium, this program, when carrying out, is carried out the step that comprises said method embodiment; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CDs.
The embodiment of the present invention has designed the communication mechanism of personalized filter against spam strategy between user, can share individual Anti-Spam Policy by the good friend's relation list based on social networks, also referred to as anti-rubbish mail strategy or filter against spam strategy, thereby reach the common object of optimizing anti-rubbish strategy of common study feedback mechanism by social networks user, between user, realized sharing flexibly of anti-rubbish mail strategy, feedback, collaborative, improved the filter effect to spam, and without the mail treatment flow process framework that changes original mailing system, go for all mailing systems.
Description of the invention provides for example with for the purpose of describing, and is not exhaustively or limit the invention to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Selecting and describing embodiment is for better explanation principle of the present invention and practical application, thereby and makes those of ordinary skill in the art can understand the various embodiment with various modifications that the present invention's design is suitable for special-purpose.
Claims (19)
1. a filtration treatment method for spam, is characterized in that, comprising:
Strategy is shared control unit and is received first user and by the first client, from good friend's relation list, select the Anti-Spam Policy sending after the second user's addresses of items of mail to share request, described in share addresses of items of mail that request comprises first user and the second user's addresses of items of mail;
Strategy is shared the control unit addresses of items of mail based on first user and the second user's addresses of items of mail respectively, obtains the second personalized Anti-Spam Policy of the first personalized Anti-Spam Policy that first user formulates and the second user formulation from personalized user rule base;
Whether study feedback unit detects the first Anti-Spam Policy and conflicts with the second Anti-Spam Policy;
If the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, policy synchronization unit is dissolved into the first Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization;
In response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the mail that mail delivery unit is the second user's addresses of items of mail to address of the addressee based on the 3rd Anti-Spam Policy carries out filtration treatment.
2. method according to claim 1, is characterized in that, also comprises:
If the first Anti-Spam Policy conflicts with the second Anti-Spam Policy, study feedback unit is shared prompting message to the second client transmission Anti-Spam Policy of the second user, and described Anti-Spam Policy is shared prompting message and for reminding the second user whether to agree to, shared the first Anti-Spam Policy of first user;
The second client shows that described Anti-Spam Policy shares prompting message and user interface is provided, agree to share after the feedback message of the first Anti-Spam Policy receiving the second user, to described study feedback unit, forward the feedback message that the first Anti-Spam Policy is shared in described agreement;
Described study feedback unit sends and shares Indication message to policy synchronization unit;
Policy synchronization unit is carried out the first Anti-Spam Policy is dissolved into the operation in the second Anti-Spam Policy.
3. method according to claim 2, is characterized in that, described Anti-Spam Policy is shared prompting message and comprised the addresses of items of mail of first user and the first Anti-Spam Policy of first user;
Described method also comprises:
The second client, after receiving the feedback message of checking the first Anti-Spam Policy of second user's transmission, shows described the first Anti-Spam Policy and user interface is provided;
The second client, after the feedback message of modification the first Anti-Spam Policy that receives second user's transmission, receives the amended Anti-Spam Policy of user as the 4th Anti-Spam Policy;
Described study feedback unit sends and to share Indication message to policy synchronization unit, described in share Indication message and comprise the 4th Anti-Spam Policy;
Policy synchronization unit is dissolved into the 4th Anti-Spam Policy in the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization.
4. method according to claim 2, it is characterized in that, by mail tabulation construction unit, the historical mail transmission/reception log based on first user generates described good friend's relation list, and according to predetermined period, the up-to-date historical mail transmission/reception log based on first user upgrades described good friend's relation list.
5. according to the method described in claim 1 to 4 any one, it is characterized in that, also comprise:
The first client first user is formulated the first Anti-Spam Policy of described personalization, and is transmitted to study feedback unit;
Described study feedback unit is stored in described the first Anti-Spam Policy in personalized user rule base.
6. method according to claim 5, is characterized in that, the first Anti-Spam Policy that the first client first user is formulated described personalization comprises:
During Rulemaking request that the first client sends to first user, output Anti-Spam Policy is formulated standard, and receives first user and based on described Anti-Spam Policy, formulate the first Anti-Spam Policy of regulation enforcement.
7. method according to claim 5, is characterized in that, also comprises:
When described study feedback unit is stored in personalized user rule base by described the first Anti-Spam Policy, between described the first Anti-Spam Policy and social user's general rule storehouse, carry out the renewal of synchronizeing of dependency rule.
8. method according to claim 7, is characterized in that, the renewal of synchronizeing of carrying out dependency rule between described the first Anti-Spam Policy and social user's general rule storehouse comprises:
Described study feedback unit adds the first Anti-Spam Policy in social user's general rule storehouse, as the anti-rubbish mail general rule sample in social user's general rule storehouse.
9. method according to claim 8, is characterized in that, described study feedback unit adds social user's general rule storehouse to comprise the first Anti-Spam Policy:
Whether described study feedback unit detects between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse and conflicts;
If do not conflict between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse, described study feedback unit is identified the first Anti-Spam Policy and whether is met predefined management threshold condition;
In response to the first Anti-Spam Policy, whether meet predefined management threshold condition, described study feedback unit adds the first Anti-Spam Policy in social user's general rule storehouse, as the anti-rubbish mail general rule sample in social user's general rule storehouse.
10. method according to claim 8, is characterized in that, the renewal of synchronizeing of carrying out dependency rule between described the first Anti-Spam Policy and social user's general rule storehouse comprises:
Described study feedback unit obtains with described the first Anti-Spam Policy and sends to the first client according to the highest anti-rubbish mail general rule sample of preset matching Condition Matching degree and by upgrading prompting message from social user's general rule storehouse;
The first client is agreed to, after the update request message with the first Anti-Spam Policy described in the highest anti-rubbish mail general rule Sample Refreshment of described matching degree, to described study feedback unit, to forward described update request message to first user;
Described study feedback unit is with described the first Anti-Spam Policy in the highest anti-rubbish mail general rule Sample Refreshment personalized user rule base of described matching degree.
The filtration treatment system of 11. 1 kinds of spams, is characterized in that, comprising:
Personalized user rule base, the personalized Anti-Spam Policy of formulating for storing each user;
Strategy is shared control unit, for receiving the Anti-Spam Policy that first user sends from good friend's relation list is selected the second user's addresses of items of mail by the first client, share request, described in share addresses of items of mail that request comprises first user and the second user's addresses of items of mail; Addresses of items of mail based on first user and the second user's addresses of items of mail obtains the first personalized Anti-Spam Policy of first user formulation and the second personalized Anti-Spam Policy that the second user formulates from personalized user rule base respectively;
Whether study feedback unit, share for detection of strategy the first Anti-Spam Policy that control unit gets and conflict with the second Anti-Spam Policy;
Policy synchronization unit, be used for according to the testing result of study feedback unit, if the first Anti-Spam Policy does not conflict with the second Anti-Spam Policy, the first Anti-Spam Policy is dissolved in the second Anti-Spam Policy, is obtained the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization and be stored in personalized user rule base;
Mail delivery unit, be used in response to receiving the mail that address of the addressee is the second user's addresses of items of mail, the 3rd Anti-Spam Policy based in personalized user rule base is that the mail of the second user's addresses of items of mail carries out filtration treatment to address of the addressee.
12. systems according to claim 11, it is characterized in that, described study feedback unit, also for when the first Anti-Spam Policy conflicts with the second Anti-Spam Policy, the second client transmission Anti-Spam Policy to the second user is shared prompting message, and described Anti-Spam Policy is shared prompting message and for reminding the second user whether to agree to, shared the first Anti-Spam Policy of first user; And receive the agreement that the second client forwards and share the feedback message of the first Anti-Spam Policy, and send and share Indication message to policy synchronization unit; The feedback message of the first Anti-Spam Policy is shared in described agreement, by the second client, show that described Anti-Spam Policy shares prompting message and user interface is provided, agree to share after the feedback message of the first Anti-Spam Policy receiving the second user, to described study feedback unit, forward;
Described policy synchronization unit, also for share Indication message described in receiving, carries out the first Anti-Spam Policy is dissolved into the operation in the second Anti-Spam Policy.
13. systems according to claim 12, is characterized in that, described Anti-Spam Policy is shared prompting message and comprised the addresses of items of mail of first user and the first Anti-Spam Policy of first user;
Described study feedback unit, also for sending and share Indication message to policy synchronization unit, the described Indication message of sharing comprises the 4th Anti-Spam Policy, described the 4th Anti-Spam Policy by the second client after receiving the feedback message of checking the first Anti-Spam Policy that the second user sends, show described the first Anti-Spam Policy and user interface is provided, after the feedback message of modification the first Anti-Spam Policy that receives second user's transmission, receive the amended Anti-Spam Policy of user and obtain;
Described policy synchronization unit, also for the 4th Anti-Spam Policy is dissolved into the second Anti-Spam Policy, obtains the 3rd Anti-Spam Policy as the Anti-Spam Policy of the second user's new personalization.
14. systems according to claim 12, is characterized in that, also comprise:
Mail tabulation construction unit, generates described good friend's relation list for the historical mail transmission/reception log based on first user, and according to predetermined period, the up-to-date historical mail transmission/reception log based on first user upgrades described good friend's relation list.
15. according to claim 11 to the system described in 14 any one, it is characterized in that, described study feedback unit, also, for receiving the first Anti-Spam Policy of the first client transmission and this first Anti-Spam Policy being stored in to personalized user rule base, described the first Anti-Spam Policy is formulated by the first client by first user.
16. systems according to claim 15, is characterized in that, also comprise:
Social user's general rule storehouse, for storing anti-rubbish mail general rule sample;
Described study feedback unit also for when described the first Anti-Spam Policy is stored in to personalized user rule base, carries out the renewal of synchronizeing of dependency rule between described the first Anti-Spam Policy and social user's general rule storehouse.
17. systems according to claim 16, it is characterized in that, described study feedback unit carries out synchronizeing while upgrading of dependency rule between described the first Anti-Spam Policy and social user's general rule storehouse, specifically the first Anti-Spam Policy is added in social user's general rule storehouse, as the anti-rubbish mail general rule sample in social user's general rule storehouse.
18. systems according to claim 17, it is characterized in that, when described study feedback unit adds in social user's general rule storehouse by the first Anti-Spam Policy, specifically detect between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse and whether conflict; If do not conflict between the first Anti-Spam Policy and anti-rubbish mail general rule sample in social user's general rule storehouse, whether identification the first Anti-Spam Policy meets predefined management threshold condition; In response to the first Anti-Spam Policy, whether meet predefined management threshold condition, the first Anti-Spam Policy is added in social user's general rule storehouse, as the anti-rubbish mail general rule sample in social user's general rule storehouse.
19. systems according to claim 17, it is characterized in that, described study feedback unit carries out synchronizeing while upgrading of dependency rule between described the first Anti-Spam Policy and social user's general rule storehouse, specifically from social user's general rule storehouse, obtains with described the first Anti-Spam Policy and sends to the first client according to the highest anti-rubbish mail general rule sample of preset matching Condition Matching degree and by upgrading prompting message; And the update request message that receives the first client forwarding, described update request message is agreed to, after the update request message with the first Anti-Spam Policy described in the highest anti-rubbish mail general rule Sample Refreshment of described matching degree, to described study feedback unit, to forward to first user by the first client; And described the first Anti-Spam Policy in the highest anti-rubbish mail general rule Sample Refreshment personalized user rule base of described matching degree.
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