Multi-dimensional Risk Engine for Dynamic Threat Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current digital security measures, such as access control mechanisms using blacklists and whitelists, are inadequate in preventing sophisticated cyber-attacks as malicious actors employ advanced techniques like proxies and botnets to circumvent these controls, leading to ongoing threats despite advanced security measures.
Innovation Solution
A risk engine generates enriched security data by recursively deriving additional information from initial security data associated with risk sources, such as IP addresses, to assess risk levels more comprehensively, using this data to adjust security settings and improve threat modeling through multi-layered analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional access control mechanisms (blacklists/whitelists) are used, then implementation is simple, but security effectiveness deteriorates against sophisticated attacks
Solution Approach 1:
The patent transitions from traditional two-dimensional access control (blacklist/whitelist) to multi-dimensional risk assessment by incorporating numerous risk factors across different dimensions including device characteristics, network behavior, temporal patterns, and geographic information. This dimensional expansion enables comprehensive threat detection while maintaining implementation feasibility through systematic factor integration.
Solution Approach 2:
The patent creates a composite security assessment model that integrates multiple risk factors (device fingerprints, network behavior patterns, temporal analysis, geographic data) into a unified risk evaluation framework. This composite approach combines diverse data sources and analysis methods to achieve superior security effectiveness while preserving ease of implementation through modular architecture.
2Device complexity
If blacklisting connection attempts is attempted, then attack prevention is simplified, but security adequacy deteriorates
Solution Approach 1:
The patent segments the security assessment into distinct risk factors including device characteristics, network behavior, temporal patterns, and geographic information. Each segment is evaluated independently and then integrated into a comprehensive risk score, enabling detailed threat analysis while maintaining overall system simplicity through modular organization of assessment components.
Solution Approach 2:
The patent creates a universal risk assessment framework that handles multiple attack types and threat scenarios through a single multi-functional system. The same framework evaluates diverse risk factors and generates comprehensive security decisions, eliminating the need for separate specialized mechanisms for different attack vectors while maintaining security adequacy.
3Reliability
If sophisticated threat modeling is implemented, then security effectiveness improves, but analysis complexity increases
Solution Approach 1:
The patent manages analysis complexity by systematically organizing numerous risk parameters into structured categories and applying consistent evaluation methods. The system transforms complex multi-parameter risk assessment into manageable computations through standardized parameter weighting, normalization, and aggregation techniques that maintain security effectiveness while controlling analytical complexity.
Data Source
AI summary
Methods and systems are presented for dynamically adjusting a risk classification of a risk source based on classifications of one or more other risk sources. The risk engine may first classify a first risk source as a first risk type based on an initial analysis of the first risk source. Subsequent to classifying the first risk source as the first risk type, the risk engine may determine that a second risk source is associated with a second risk type. Based on the determination that the second risk source is associated with the second risk type, the risk engine may re-classify the first risk source as the second risk type. The risk engine may then use the reclassification of the first risk source to improve network security of an online service provider.