Recursive Risk Assessment Engine for Cybersecurity
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Solution Overview
Problem
Current digital security measures, such as access control mechanisms using blacklists and whitelists, are inadequate in preventing sophisticated cyber-attacks as attackers employ advanced techniques like proxies and botnets to circumvent these controls.
Innovation Solution
A recursive risk assessment method that generates enriched security data by deriving additional information from initial security data, allowing for a multi-layered threat and risk modeling, which includes analyzing IP addresses, domain names, and services offered, to accurately classify risk sources and adjust security settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simple blacklist/whitelist access control mechanisms are used, then device complexity is reduced and ease of operation is improved, but security reliability deteriorates as attackers can circumvent these controls using proxies and botnets
Solution Approach 1:
The patent segments security assessment into multiple hierarchical levels: initial security data assessment, enriched security data assessment, and recursive enrichment cycles. Each level examines different aspects of risk sources, creating a layered defense that breaks down the complex security problem into manageable segments while maintaining high reliability
Solution Approach 2:
The patent transitions from two-dimensional blacklist/whitelist filtering to multi-dimensional risk assessment by examining multiple attributes of risk sources including IP addresses, domain names, contact information, and behavioral patterns across different data enrichment levels, adding depth and breadth to security evaluation
2Measurement precision
If basic access control lists are maintained, then ease of operation is improved and implementation is simple, but measurement precision of risk assessment deteriorates
Solution Approach 1:
The patent performs preliminary security data enrichment by recursively collecting and analyzing multiple attributes of risk sources before making access decisions. This preliminary action of gathering enriched security data (IP addresses, domain names, contact information, behavioral patterns) enables precise risk assessment while automating the process to maintain ease of operation
Solution Approach 2:
The patent replaces manual blacklist/whitelist management with an automated recursive enrichment system that automatically collects, analyzes, and updates security data across multiple levels, substituting mechanical manual operations with intelligent automated processes that achieve high measurement precision
3Adaptability or versatility
If traditional blacklist/whitelist mechanisms are used, then device complexity is low and ease of operation is high, but adaptability to sophisticated attacks deteriorates
Solution Approach 1:
The patent implements dynamic security assessment that adapts to different attack patterns by recursively enriching security data and adjusting assessment criteria based on observed behaviors. The system dynamically updates risk profiles and security settings based on enriched data from multiple enrichment levels, enabling adaptability to sophisticated and evolving attacks
Solution Approach 2:
The patent incorporates feedback mechanisms where security assessment results inform subsequent data enrichment and risk evaluation cycles. The recursive nature of the system allows it to learn from observed attack patterns and adjust its assessment criteria, creating a feedback loop that continuously improves adaptability to new threats
Data Source
AI summary
Methods and systems are presented for providing enriched technical security data to a risk engine of an online service provider, and for adjusting security settings based on the enriched data. The enriched security data may be generated by recursively deriving additional security information from an initial security data input. The initial security data input may be associated with a risk source, such as a person or a device that submits an electronic request to the online service provider. Based on the initial security data input, the risk engine may recursively derive additional security information that enriches the initial security data input. The risk engine may then use the derived security information as well as the initial security data input to assess a risk level of the risk source, and then adjust a security setting of the online service provider based on the assessed risk level of the risk source.