Proxy Policy Enforcement via Content Pattern Analysis
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Solution Overview
Problem
There is a need for systems and methods that effectively enforce policies regarding proxy communications, as existing technologies lack efficient mechanisms to identify and block proxy websites, which can compromise security and access control.
Innovation Solution
The system analyzes website content for patterns similar to known non-proxy websites, compares identifiers, and blocks requests from suspected proxy websites, using techniques such as checksum comparison, crawling, and fingerprinting to categorize and block proxy interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system blocks all proxy website requests to enforce security policies, then network security and access control are improved, but legitimate proxy communications may be inadvertently blocked causing false positives
Solution Approach 1:
The system performs preliminary analysis of website content by comparing patterns, checksums, and fingerprints against known non-proxy websites before blocking requests. This preliminary identification action allows the system to distinguish legitimate proxy communications from malicious ones, preventing false positives while maintaining security enforcement.
Solution Approach 2:
The system applies different identification methods to different aspects of website content (patterns, checksums, fingerprints, identifiers) rather than using a single uniform approach. This localized quality differentiation enables precise identification of proxy websites while preserving legitimate access patterns.
2Measurement precision
If the system performs detailed content analysis including pattern matching, checksum comparison, and fingerprinting to identify proxy websites, then identification accuracy is improved, but system complexity and processing time increase
Solution Approach 1:
The identification system is divided into separate modular components: pattern matching module, checksum comparison module, fingerprinting module, and identifier analysis module. Each module handles a specific aspect of analysis independently, improving identification accuracy while managing system complexity through modular design.
Solution Approach 2:
The system uses multiple identification techniques (patterns, checksums, fingerprints, identifiers) that can be applied universally across different website types. This multi-functional approach enables accurate identification of proxy websites regardless of their specific characteristics, maintaining precision without requiring separate specialized systems.
3Reliability
If the system analyzes multiple content portions including text, copyright messages, HTML comments, class names, scripts, images, links, styles, and executable content, then identification reliability is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs partial analysis by examining multiple content portions (text, copyright messages, HTML comments, class names, scripts, images, links, styles, executable content) but not necessarily all portions in every case. This partial action approach maintains high detection reliability by analyzing sufficient content segments while reducing overall processing time compared to exhaustive analysis of every possible element.
Solution Approach 2:
The system performs preliminary content analysis by comparing patterns and checksums from multiple content portions against known non-proxy websites before final identification. This preliminary action on multiple content types establishes reliability early in the process, allowing the system to make confident identification decisions without requiring complete analysis of all content elements.
Data Source
AI summary
In embodiments of the present invention improved capabilities are described for systems and methods that enforce policies with respect to proxy communications.