Threat Detection System Using Bloom Filters for Credential Validation
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Solution Overview
Problem
Current data security systems are inadequate in efficiently and quickly identifying compromised credential or sensitive data, leading to potential breaches that can result in financial loss, reputation damage, and identity theft, due to factors like unknown design vulnerabilities, user behavior, and weak authentication mechanisms.
Innovation Solution
A computer-implemented threat detection method and system that discovers threat data, translates it into threat models, and generates identification queries to identify compromised credentials or sensitive information, using techniques such as hash algorithms and Bloom filters to validate and remediate potential security threats in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data security monitoring methods are used, then system complexity is reduced, but the speed and effectiveness of identifying compromised credentials deteriorates
Solution Approach 1:
The system segments the credential validation process into multiple components: credential data reception module, validation module (using hash algorithms and Bloom filters), and notification module. This segmentation enables parallel processing of credential validation, improving speed while managing complexity through modular design.
Solution Approach 2:
The patent introduces intermediary components including hash algorithms that transform credentials into fixed-size representations, and Bloom filters that serve as probabilistic data structures for efficient membership testing. These intermediaries enable rapid credential matching without requiring direct comparison of sensitive data, thus improving validation speed while maintaining system manageability.
2Reliability
If comprehensive credential validation is performed, then security reliability is improved, but processing time increases
Solution Approach 1:
The system uses Bloom filters for partial validation - a probabilistic approach that can quickly determine credential non-existence with high confidence. This partial action (using probabilistic rather than deterministic methods) significantly reduces processing time while maintaining acceptable reliability through configurable false positive rates. The hash algorithm provides excessive action by creating multiple hash representations of credentials, ensuring comprehensive matching capability.
3Speed
If real-time threat detection is implemented, then security response speed is improved, but computational resource consumption increases
Solution Approach 1:
The patent employs hash algorithms that transform credentials into fixed-size, computationally inexpensive representations. These hash values are much cheaper to process than original credentials, enabling rapid comparison. Bloom filters use bitwise operations that are computationally lightweight, allowing real-time validation with minimal resource consumption. The system effectively uses disposable, low-cost computational representations instead of processing expensive original data.
Data Source
AI summary
Computer-implemented threat detection method and systems are provided. The method comprises discovering threat data associated with a first entity, translating the threat data to one or more threat models, translating the one or more threat models, using a threat model parameter generator, to at least a parameter threat model and translating the parameter threat model to one or more identification queries. The one or more identification queries may be executed and the generated results may be translated to result data in a first format. The one or more result data models may be published from the result data in one or more formats or to one or more locations.