Multi-Factor Authentication Using Semiconductor and Biological Identifiers
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Solution Overview
Problem
Current data security measures are inadequate in preventing unauthorized access and incorrect data association, particularly in sensitive areas like healthcare and finance, due to sophisticated hacking techniques and system errors.
Innovation Solution
A system that connects sensing elements with unique semiconductor identifiers and biological markers to a data analytics engine for real-time verification and analysis, ensuring secure data transfer and access through encryption and dynamic security protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional encryption and password identification are used, then basic data protection is provided, but security breaches occur due to sophisticated hacking techniques
Solution Approach 1:
The patent combines multiple identification methods (semiconductor identifiers, biological markers, time management systems, encryption systems) into a unified multi-factor authentication framework. This merging of diverse security mechanisms creates layered protection that resists sophisticated hacking techniques while maintaining reliable data security.
Solution Approach 2:
The security system uses composite authentication credentials combining semiconductor chips with biological markers (DNA, fingerprints, iris patterns). This composite approach creates security credentials that are significantly more resistant to hacking than traditional single-factor authentication methods.
2Reliability
If multiple security layers are implemented, then data protection is enhanced, but system complexity increases
Solution Approach 1:
The patent introduces a centralized verification server as an intermediary that manages the complex validation of multiple security factors. This mediator handles the coordination between semiconductor identifiers, biological markers, time management, and encryption verification, reducing the complexity burden on client devices while maintaining enhanced security.
Solution Approach 2:
The security system is segmented into distinct functional modules: semiconductor identifier verification, biological marker authentication, time management validation, and encryption decryption. Each module operates independently but contributes to the overall security framework, making the complex system more manageable and maintainable.
3Reliability
If real-time verification is performed, then unauthorized access is prevented, but processing time increases
Solution Approach 1:
The patent performs preliminary verification of semiconductor identifiers and biological markers before accessing time management or encryption systems. This staged verification approach allows critical identity validation to occur first, with subsequent time and encryption checks only performed for authenticated users, reducing overall verification time while maintaining strict access control.
Solution Approach 2:
The time management system uses periodic timestamp validation rather than continuous verification. The system checks temporal validity at discrete intervals (e.g., token expiration times, scheduled access windows), reducing processing overhead while preventing unauthorized access attempts outside valid time periods.
Data Source
AI summary
A method for providing data security comprises operatively connecting sensing elements with a user, sensing characteristics of the user via the sensing elements, wherein each of the sensing elements comprises at least one unique semiconductor identifier. The at least one unique semiconductor identifier and data concerning the sensed characteristics is transmitted from the sensing elements to a data analytics engine, and at least one unique biological identifier associated with the user is attached to the transmission of the at least one unique semiconductor identifier and the data concerning the sensed characteristics. The method further includes verifying by the data analytics engine that the at least one unique semiconductor identifier of the sensing elements and the at least one biological identifier are valid, analyzing by the data analytics engine the data concerning the sensed characteristics, and generating and transmitting a response based on the analysis.