AI Domain Classifier for Dynamic Access Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for restricting access to webpages, such as static lists of domains, are inefficient due to the need for manual updates and rely on human reviewers, making it difficult to keep pace with the rapid creation of new webpages and domains.
Innovation Solution
An artificial intelligence-based classifier is used to categorize domains and update access lists automatically, allowing for dynamic control of access based on predefined rules, eliminating the need for human intervention and ensuring continuous accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static lists of domains are used to control access, then access control can be implemented, but the lists require manual updates and human reviewers to keep pace with new webpages and domains
Solution Approach 1:
The system uses an AI classifier that automatically categorizes new domains and updates access lists without human intervention. The classifier processes incoming domain requests, determines their categories, and updates the access control lists autonomously, eliminating the need for manual updates by human reviewers while maintaining accurate access control.
2Reliability
If manual updating of domain lists is performed, then access control rules can be maintained, but it is difficult to keep pace with the huge number of new webpages and domains created every day
Solution Approach 1:
The patent replaces the mechanical process of manual domain list updating with an automated AI-based classifier system. The classifier uses machine learning algorithms to automatically process and categorize domains at high speed, substituting human manual work with an efficient automated system that can handle the vast volume of new domains created daily.
3Measurement precision
If human reviewers are used to update domain lists, then categorization accuracy can be maintained, but the process requires continuous human intervention and is inefficient
Solution Approach 1:
The AI classifier is designed to autonomously perform domain categorization and list updates without requiring human reviewers. The system self-corrects and continuously learns from new data, maintaining categorization accuracy through automated machine learning processes while achieving complete automation of the domain list update workflow.
Data Source
AI summary
In an embodiment, a list of domains is received that includes one or more categories for each domain. The categories are assigned to each domain using a classifier that is trained using features extracted from webpages known to be associated with particular categories. An administrator creates access rules for users, or groups of users, that control the categories of domains that each user is permitted to access or not access. When a user makes a request for a webpage, access rules associated with the user are retrieved, and one or more categories associated with the domain of the requested webpage are determined using the list of domains. If any of the one or more categories of the domain violate an access rule associated with the user, the request for the webpage is denied. Otherwise the user is allowed to access the webpage.