Continuous Vector Line Verification via Secure Parametric Analysis
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Solution Overview
Problem
Current automated computer-based verification systems for continuous lines are prone to errors due to human factors and lack secure data transmission, leading to unreliable user identification and increased risk of fraud, as they fail to accurately compare and secure the parametric representation of movements from various computer pointing devices.
Innovation Solution
A system that collects and compares parametric representations of continuous vector lines from computer pointing devices using a secure communication channel, employing biometric data and secure encryption methods like PKI, to create a unique profile for reliable user verification, reducing variance in input and enhancing security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated computer-based verification systems are used to compare continuous lines, then user identification can be performed automatically, but errors occur due to human factors and lack of secure data transmission
Solution Approach 1:
The patent replaces manual visual comparison with automated computer-based analysis of continuous vector lines. The system captures parametric representations of user movements and uses algorithms to objectively compare these representations, eliminating human error in the verification process while maintaining high reliability through secure communication channels and consistent measurement criteria
Solution Approach 2:
The system transforms physical movements into parametric representations that can be consistently measured and compared. By converting continuous vector lines into standardized mathematical parameters, the system ensures reliable automated comparison while maintaining accuracy through precise parameter measurement and secure data transmission
2Adaptability or versatility
If continuous vector lines are transmitted through communication channels, then user data can be verified remotely, but data breaches and fraud risk increase without secure encryption
Solution Approach 1:
The patent introduces secure communication channels and encryption protocols as intermediaries between the user and the verification system. These security layers protect the continuous vector line data during transmission, preventing unauthorized access and fraud while enabling remote verification capabilities
Solution Approach 2:
The system creates encrypted copies of the continuous vector line data for transmission and storage. These secure copies maintain the integrity of the original biometric information while enabling remote verification and reducing fraud risk through cryptographic protection
3Adaptability or versatility
If parametric representations of movements are collected from various pointing devices, then user input can be captured flexibly, but variance in input increases leading to comparison errors
Solution Approach 1:
The patent creates a universal parametric representation system that works across multiple pointing devices. By standardizing the measurement approach and focusing on the mathematical parameters of movement rather than device-specific characteristics, the system achieves both device compatibility and measurement precision
Solution Approach 2:
The system transforms diverse physical inputs from various pointing devices into standardized parametric representations. This parameter-based approach captures the essential characteristics of user movements while eliminating device-specific variations, enabling precise comparison across different input devices
Data Source
AI summary
A system/method to store and compare computer generated vector lines through an insecure or a secure communication channel. Using an input device (i.e. computer Keyboard, finger, soft keypad, or any other input from body movements, electrical current, or impulses, or input from human or mechanical sound waves) to a physical machine, or through a token (i.e. credit card, USB token, which can be carried around by user), a user enters and sends their unique identifier and reference code (i.e. PIN, password, other secret code) to the physical machine by making a contact or contact-less to the computer system. As part of the enrollment process the user inscribes a pre-determined set of continuous vector lines (CVLs). The CVLs include data points that are collected from any computer pointing device in a specific format, using a push down anatomical technique and are sent to local active content (i.e. a library, or a program, or an add-on to the internet browser i.e. ActiveX) or a remote server for further analysis of the two CVLs. A user should go through an Enrollment and Verification process to capture the data points and this process uses a two factor authentication and a verification scheme. The collected data points that represent a CVL profile made previously is kept in a database, registry, or memory that can be encrypted and accessed (locally or remotely) by using a reference number or other unique identifier to enable the comparison of a newly generated CVL identifier to the previously generated one.