HTTP Request Monitoring via Whitelist Blacklist Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current server protection methods are inadequate in detecting and mitigating malicious HTTP requests, which can disrupt operations, gather sensitive information, and exploit server vulnerabilities, as they rely primarily on firewalls and malware security tools that are not comprehensive enough to handle reconnaissance and attacks effectively.
Innovation Solution
Implementing a method that establishes IP address, resource, and resource request whitelists and blacklists to analyze HTTP resource requests, determining if the requestor IP address and requested resource are valid, and initiating reviews for violations, thereby cross-referencing with industry analysis and threat intelligence to detect and mitigate malicious activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional firewalls and malware security tools are used to protect servers, then basic security protection is provided, but they are inadequate in detecting and mitigating malicious HTTP requests effectively
Solution Approach 1:
The security system is segmented into multiple specialized components: IP address whitelist module, resource whitelist module, resource blacklist module, and analysis module. Each component handles a specific aspect of security validation, dividing the complex task of malicious request detection into manageable, specialized segments that work together to provide comprehensive protection
Solution Approach 2:
The system performs preliminary actions by pre-establishing IP address whitelists, resource whitelists, and resource blacklists before malicious requests occur. These lists are prepared in advance and used to quickly validate incoming requests, enabling the system to detect and mitigate attacks before they can cause harm
2Measurement precision
If comprehensive whitelist and blacklist validation is implemented for all resource requests, then detection accuracy improves, but processing time increases
Solution Approach 1:
Different validation rules are applied locally based on the specific characteristics of each request component. IP addresses are validated against the IP whitelist, resources are checked against both resource whitelist and blacklist, allowing each aspect of the request to be validated with the appropriate level of scrutiny based on its security significance
Solution Approach 2:
The system applies partial validation by focusing checks on critical components (IP address and resource identifier) rather than analyzing every aspect of each request in equal detail. This selective approach maintains high detection accuracy for security-critical elements while reducing overall processing time
Data Source
AI summary
A method includes establishing an IP address whitelist including an acceptable IP address, establishing a resource whitelist including an acceptable resource request, establishing a resource blacklist including an indicator of a malicious resource request, and analyzing a resource request. Analyzing the resource request includes determining if a requestor IP address of the resource request is in the IP address whitelist, determining if the requested resource is in the resource whitelist, and determining if the requested resource is in the resource blacklist. A whitelist violation review is initiated, responsive to determining the requestor IP address is not in the IP address whitelist and the requested resource is not in the resource whitelist. A blacklist violation review is initiated, responsive to determining the requested resource is in the resource blacklist and the requestor IP address is not in the IP address whitelist and the requested resource is not in the resource whitelist.