Adaptive Authentication Server Location History Analysis
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Solution Overview
Problem
Current security systems face challenges in accurately authenticating entities due to the increasing threat of compromised passwords, tokens, and fraudulent biometric data, necessitating enhanced verification measures.
Innovation Solution
A method and system that utilize an adaptive authentication server to analyze an entity's location history and detect patterns of irregular behavior, generating a risk score to determine the authenticity of authentication requests based on recent locations compared to historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (passwords, tokens, biometrics) are used, then authentication can be performed, but the security is compromised due to increasing threats of password leakage, token theft, and fraudulent biometric data
Solution Approach 1:
The patent introduces location data as an intermediary factor in authentication. Instead of relying solely on traditional credentials (passwords, tokens, biometrics) that can be compromised, the system uses location information as a mediating element to verify entity identity. The location history and pattern analysis serve as an additional layer that mediates between the authentication request and the final access decision, making it harder for attackers to succeed even if traditional credentials are compromised.
Solution Approach 2:
The patent adds a spatial dimension to authentication by incorporating location data into the authentication process. Traditional authentication operates in a one-dimensional space (credential verification), while this invention extends it to a multi-dimensional space by considering temporal patterns, geographic locations, and movement trajectories. This dimensional expansion creates a more comprehensive authentication framework that is harder to attack.
2Reliability
If location-based authentication is implemented, then security is enhanced through additional verification layer, but system complexity increases due to location history storage, pattern detection, and risk analysis
Solution Approach 1:
The patent implements preliminary action by pre-storing location history data and pre-establishing patterns of legitimate behavior for each entity. Instead of analyzing location patterns in real-time from scratch during authentication, the system has already collected and stored historical location data beforehand. This preliminary data collection and pattern establishment reduces the computational burden during actual authentication, making the enhanced security feature more manageable.
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring location patterns and comparing them against stored historical data and expected behavior patterns. The authentication server receives location information, analyzes it against the entity's historical patterns, and provides feedback in the form of authentication decisions. This feedback loop allows the system to adapt to changing behaviors while maintaining security, and the feedback mechanism itself helps simplify the complexity by providing clear decision criteria.
Data Source
AI summary
There is disclosed a method and system for use in authenticating an entity. An entity location history is stored comprising a historical record of locations visited by the entity. An authentication request is received from the entity. A pattern of recent locations visited by the entity indicative of irregular behavior is detected. An analysis is performed between the pattern of recent locations indicative of irregular behavior and the entity location history for establishing the riskiness of the authentication request. An authentication result is generated based on the analysis between the pattern of recent locations indicative of irregular behavior and the entity location history.