Pre-Authentication Classification for Malicious Request Filtering
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Solution Overview
Problem
Organizations face challenges in ensuring the security and safety of information systems while optimizing technical operations, particularly in preventing unauthorized access to electronic portals.
Innovation Solution
A computing platform implements advanced pre-authentication techniques by applying a classification model to enriched access requests from remote devices, determining malicious requests, and generating response commands to direct client portal server infrastructure to deny or throttle access, using a dependent probability machine learning model based on HTTP headers and enrichment information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used to ensure security, then unauthorized access is prevented, but system operational efficiency deteriorates due to extensive authentication overhead
Solution Approach 1:
The system performs preliminary classification of access requests using a trained machine learning model before full authentication. This pre-authentication step analyzes request characteristics and predicts legitimacy, allowing the system to quickly reject obviously malicious requests without undergoing complete authentication procedures, thus maintaining security while improving operational efficiency
Solution Approach 2:
The system applies different authentication scrutiny levels to different requests based on their classified characteristics. Legitimate-looking requests receive standard authentication treatment while suspicious requests undergo enhanced scrutiny or immediate rejection. This localized quality approach optimizes resource allocation by focusing authentication efforts where most needed
2Reliability
If extensive authentication procedures are implemented to identify malicious requests, then security is improved, but processing time increases
Solution Approach 1:
The machine learning classification model performs preliminary filtering of access requests before they reach the full authentication pipeline. By pre-identifying and rejecting malicious requests at this early stage, the system avoids time-consuming authentication procedures for obviously harmful requests while maintaining thorough security checks for legitimate ones
Solution Approach 2:
The system applies partial authentication procedures to requests that fail the preliminary classification, rather than applying full authentication to all requests. This partial action approach processes only the necessary subset of requests through extensive security checks, reducing overall processing time while maintaining security
3Measurement precision
If advanced pre-authentication techniques are applied to all requests, then malicious requests are accurately identified, but system complexity increases
Solution Approach 1:
The authentication system is segmented into multiple stages: an initial machine learning-based classification layer followed by traditional authentication layers. This segmentation allows the system to apply advanced techniques only where needed while maintaining a simple overall architecture. The classification model handles the complex analysis of request characteristics, while the authentication system focuses on verifying legitimate requests
Data Source
AI summary
Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced pre-authentication techniques. A computing platform may receive, from a local traffic manager, a first enriched access request associated with a first remote computing device. Then, the computing platform may apply a pre-authentication classification model to the first enriched access request associated with the first remote computing device. Thereafter, the computing platform may determine that the first enriched access request associated with the first remote computing device is likely malicious. Then, the computing platform may generate one or more first pre-authentication response commands directing client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request. Subsequently, the computing platform may send the one or more first pre-authentication response commands to the client portal server infrastructure.