Method and system to enable controlled safe internet browsing

1. A method comprising the steps of:

creating a non-transitory data repository from crowdsourced data for a plurality of websites, said crowdsourced data identifying appropriate content and inappropriate content for users of said plurality of websites;

producing a set of access rules for controlling access to specific websites;

receiving an access request for a user to access a website;

receiving a profile for the user related to said access request, said profile comprising at least one parameter selected from the group consisting of: an age, a time of day, a day of week, an access level, a job title and a group membership;

receiving information related to said website from said non-transitory data repository in relation to said at least one parameter of said profile for the user;

creating a safety rank of said website by combining said profile and said information;

utilizing said safety rank and said set of access rules to create a user-specific access rule for said website;

applying said user-specific access rule to determine at least one of allowing and denying said access request; and

controlling a router to perform said determination.

2. The method of claim 1 , further comprising:

receiving, after said applying, an admin input responsive to a permission request in real time, said admin input comprising at least one of allowing and denying said permission request.

3. The method of claim 1 , wherein said combining further comprises assigning at least one weighting value for said parameter of said profile.

4. The method of claim 3 , wherein said combining further comprises determining for said profile said at least one weighting value.

5. The method of claim 3 , wherein said combining further comprises applying for said profile said at least one weighting value.

6. The method of claim 3 , wherein said parameter is selected from the group consisting of:

said age;

said time of day;

said day of week;

said access level;

said job title; and

said group membership.

7. The method of claim 1 , further comprising the step of updating the non-transitory data repository, wherein the step of updating the non-transitory data repository comprises at least one of the following steps:

utilizing the safety rank to apply at least one of a positive and negative weighting to the website;

utilizing keywords on the website to apply at least one of a positive and negative weighting to the website;

utilizing input received from a user interface to apply at least one of a positive and negative weighting to the website;

utilizing data associated with other websites linking to said website to apply at least one of a positive and negative weighting to the website; and

utilizing input from clients to apply at least one of a positive and negative weighting to the website.

8. The method of claim 7 , wherein the keywords are obtained through the use of a web crawler performing keyword searches.

9. The method of claim 2 , further comprising the step of updating the non-transitory data repository, said step comprising one of:

applying a positive weighting to the website responsive to a receipt of an approval; and

applying a negative weighting to the website responsive to a receipt of a denial.

10. The method of claim 7 , further comprising the step of assigning different weighting values to the set of steps used in updating the non-transitory data repository.

11. The method of claim 1 , further comprising:

said producing a set of access rules for controlling access to specific websites comprising consideration of traffic patterns for said websites.

12. A method comprising the steps of:

creating a non-transitory data repository from crowdsourced data for a plurality of websites;

producing a set of rules;

receiving an access request for a user to access a website;

receiving a profile for the user related to said access request with parameters comprising at least one of an age, a time of day, a day of week, an access level, a job title and a group membership;

receiving information related to said website from said non-transitory data repository in relation to said parameters of said profile for the user;

creating a safety rank of said website by combining said profile and said information;

utilizing said safety rank and said set of rules to create an access rule;

applying said access rule to determine at least one of allowing and denying said access request;

controlling a router to perform said determination;

applying an age weighting value, the step of applying an age weighting value comprising the steps of:

assigning an age weighting value to each of a plurality of age ranges;

determining which of the plurality of age ranges comprises the age; and

applying the age weighting value corresponding to the age range comprising the age to the website;

applying a time weighting value, the step of applying a time weighting value comprising the steps of:

applying a time weighting value to each of at least one time period;

determining which of the at least one time period comprises the time of day; and

applying the time weighting value corresponding to the at least one time period comprising the time of day to the website; and

applying a date weighting value, the step of applying a date weighting value comprising the steps of:

applying a date weighting value to each of at least one date;

determining which of the at least one date comprises the date; and

applying the date weighing value corresponding to the at least one date comprising the date to the website.

13. A website access control system comprising:

a router;

a computer readable storage device storing a non-transitory data repository comprising safety data for a plurality of websites;

a self-learning access control module configured to:

access the non-transitory data repository from crowdsourced data for a plurality of websites, said crowdsourced data identifying appropriate content and inappropriate content for users of said plurality of websites;

produce a set of access rules for controlling access to specific websites;

receive an access request for a user to access a website;

receive a profile for the user related to said access request, said profile comprising at least one parameter selected from the group consisting of: an age, a time of day, a day of week, an access level, a job title and a group membership;

receive information related to said website from said non-transitory data repository in relation to said at least one parameter of said profile for the user;

create a safety rank of said website by combining said profile and said information;

utilize said safety rank and said set of access rules to create a user-specific access rule for said website;

apply said user-specific access rule to determine at least one of allowing and denying said access request;

control a router to perform said determination; and

update said non-transitory data repository.

14. The access control system of claim 13 , further comprising said self-learning access control module configured to receive an admin input to modify said access rules.

15. The access control system of claim 13 , wherein said router comprises said computer readable storage device.

16. The method of claim 7 , further comprising the step of utilizing crowdsourced data to apply at least one of a positive and negative weighting to the website.