Passive Authentication Risk Scoring for Scaled Impersonation Attacks
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Solution Overview
Problem
Biometric and active user authentication methods are vulnerable to theft, enabling malicious actors to conduct large-scale impersonation attacks, leading to numerous unauthorized interactions and fraudulent transactions.
Innovation Solution
A system that utilizes passive user authentication information, such as caller ID, location data, and application-based authentication, to compute impersonation risk metrics and generate a scaled impersonation attack prediction, allowing for real-time detection and prevention of such attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric and active user authentication methods are used, then authentication security is improved, but vulnerability to theft and impersonation attacks increases
Solution Approach 1:
The patent introduces passive authentication factors (device identifiers, location data, usage patterns) as intermediary elements that mediate between the user and the authentication system. These passive factors serve as additional verification layers that are difficult for attackers to obtain or replicate, thereby resolving the vulnerability to impersonation attacks while maintaining authentication security.
Solution Approach 2:
The patent expands authentication from traditional active/biometric dimensions to include passive authentication dimensions. By adding multiple authentication factors across different dimensions (active credentials, biometric data, and passive device characteristics), the system achieves more comprehensive security without over-relying on any single authentication method.
2Reliability
If multi-factor authentication is implemented, then security against impersonation attacks is improved, but system complexity increases
Solution Approach 1:
The patent segments the authentication system into distinct components: active authentication factors, passive authentication factors, and the evaluation mechanism. This segmentation allows each component to be independently managed and evaluated, reducing overall system complexity while maintaining multi-factor authentication capabilities.
Solution Approach 2:
The patent creates a universal authentication framework that can handle multiple types of authentication factors through a single integrated system. The multi-factor authentication mechanism is designed to be flexible and adaptable, allowing the system to accommodate various authentication methods without requiring separate complex subsystems for each factor type.
3Measurement precision
If passive user authentication information is used for detection, then detection accuracy of impersonation attacks is improved, but data processing requirements increase
Solution Approach 1:
The patent applies partial action by selectively analyzing specific passive authentication factors based on the risk assessment. Rather than processing all available data uniformly, the system processes only the relevant passive factors needed for the current authentication decision, thereby maintaining detection accuracy while reducing unnecessary data processing requirements.
Data Source
AI summary
In some implementations, a system may receive interaction information associated with a plurality of interactions, wherein each interaction in the plurality of interactions is associated with a respective user in a plurality of users. The system may retrieve passive user authentication information associated with the plurality of users. The system may compute a plurality of risk metrics based on the interaction information and the passive user authentication information, each risk metric in the plurality of risk metrics being associated with a respective interaction from the plurality of interactions. The system may generate a scaled attack prediction based on the plurality of risk metrics, the scaled attack prediction indicating an occurrence of a scaled attack. The system may perform a security action based on the scaled attack prediction indicating the occurrence of the scaled attack.