Cognitive Authentication Using Behavioral Context Data
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Solution Overview
Problem
Existing authentication methods face challenges in user convenience, security, and cost, particularly in machine-to-machine authentication, as they require physical tokens, frequent password changes, and are vulnerable to exposure and management issues.
Innovation Solution
An authentication apparatus and method utilizing behavioral and contextual information from big data to authenticate users and objects, combining ID/password, token-based, and biometric methods, determining continuity, authenticity, validity, and correctness of collected information for secure and convenient authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ID/password authentication method is used, then user convenience is improved, but security is worsened due to password exposure and management vulnerabilities
Solution Approach 1:
The patent segments authentication into multiple independent factors (biological characteristics, behavioral patterns, contextual information) rather than relying on a single password. This segmentation allows the system to maintain user convenience while improving security through diverse authentication dimensions.
Solution Approach 2:
The patent creates a composite authentication system that combines multiple authentication factors (biological, behavioral, contextual) into a unified authentication mechanism. This composite approach leverages the strengths of each factor to achieve both convenience and security.
2Reliability
If hardware authentication token is used, then security is improved, but portability and convenience are worsened due to physical carrying requirements
Solution Approach 1:
The patent replaces the mechanical hardware token system with a software-based authentication system that utilizes mobile devices and sensors. This substitution eliminates the need for physical tokens while maintaining security through alternative mechanisms like biometric and behavioral analysis.
Solution Approach 2:
The patent creates a universal authentication system that can operate across multiple devices and platforms without requiring device-specific hardware tokens. The authentication mechanism works seamlessly across smartphones, tablets, and other mobile devices, providing both security and portability.
3Reliability
If biometric authentication method is used, then security is improved, but system construction and management complexity is worsened
Solution Approach 1:
The patent implements self-service biometric authentication where the system automatically captures and analyzes biometric data without requiring manual intervention. The authentication process is automated, reducing the burden on system administrators while maintaining high security standards.
Solution Approach 2:
The patent introduces behavioral patterns and contextual information as intermediary layers that work alongside biometric authentication. These intermediaries simplify the overall system by providing additional verification dimensions that are easier to implement and manage than pure biometric systems.
4Reliability
If multi-factor authentication is used, then security is improved, but user convenience and resource efficiency are worsened due to multiple authentication factors required
Solution Approach 1:
The patent merges multiple authentication factors (biological, behavioral, contextual) into a unified authentication process that operates seamlessly in the background. Users experience a single streamlined authentication flow rather than multiple separate steps, maintaining security while improving convenience.
Solution Approach 2:
The patent implements dynamic authentication where the system adaptively selects and weights different authentication factors based on the situation. This dynamic approach allows the system to maintain high security while minimizing user burden by using the most appropriate authentication methods for each context.
Data Source
AI summary
An authentication apparatus and method based on cognitive information. The authentication apparatus based on cognitive information includes an authentication request reception unit for receiving a request to authenticate an authentication target, a behavioral and contextual information collection unit for collecting behavioral and contextual information corresponding to the authentication target, a cognitive information extraction unit for extracting cognitive information corresponding to the request from previously stored big data, and an authentication processing unit for authenticating the authentication target in consideration of the behavioral and contextual information based on the extracted cognitive information.


