Cognitive Profile Authentication via Dynamic Question Generation
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Solution Overview
Problem
Cognitive password systems are vulnerable to attacks as they rely on repetitive questions that can be easily guessed by attackers, compromising security and memorability.
Innovation Solution
A method and system that continuously track user device usage to generate a cognitive profile, which is used to create unique cognitive questions based on the user's implicit knowledge and opinions, enhancing security by making it difficult for attackers to guess the answers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cognitive password systems use preset repetitive questions, then users can easily remember their passwords, but attackers can easily crack them by gathering information about common questions
Solution Approach 1:
The system dynamically generates cognitive questions based on real-time analysis of user behavior patterns, device usage, and interaction history. Instead of using static preset questions, the system continuously adapts question content to reflect the specific user's cognitive profile, making each question unique and difficult for attackers to predict or crack while remaining answerable by the legitimate user.
Solution Approach 2:
The system personalizes cognitive questions to each individual user by analyzing their specific behavior patterns, preferences, and interaction characteristics. Each user receives customized questions based on their local cognitive profile rather than generic preset questions, ensuring both memorability for the user and uniqueness against attacker attacks.
2Reliability
If cognitive questions are made unique and specific to each user, then security improves, but system complexity increases due to continuous tracking and profile generation
Solution Approach 1:
The system automatically generates cognitive questions by analyzing user behavior data without requiring manual configuration or complex administrative setup. The question generation process is self-service, using machine learning algorithms to continuously profile user cognition patterns and generate appropriate questions autonomously, reducing the operational complexity despite the sophisticated security mechanism.
Solution Approach 2:
The system performs preliminary analysis of user behavior patterns during normal usage to build cognitive profiles before authentication is needed. This preliminary action allows the system to have authentication questions ready when needed, reducing the complexity of real-time question generation while maintaining security through pre-analyzed user characteristics.
Data Source
AI summary
User authentication based on cognitive profiling. First, usage by a person of one or more computerized devices is automatically and continuously tracked. A cognitive profile of the person is automatically and continuously generated based on the tracked usage. Responsive to a request for authenticating an identity of the person, a cognitive question is automatically generated based on the cognitive profile, and is presented to a user professing to be the person. An answer to the cognitive question is received from the user. Finally, the identity of the person is automatically authenticated when the answer to the cognitive question is determined to be correct.