Mnemonic-Based Digital Signature Authentication for Mobile Devices
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Solution Overview
Problem
Traditional password-based authentication methods face challenges in balancing security and convenience, as they are vulnerable to attacks and difficult for users to remember and input correctly, leading to potential system compromise and user frustration.
Innovation Solution
A digital signature scheme based on a mnemonic-aided secret, which uses a combination of user-defined motion actions and image-based mnemonics on a handheld device, allowing users to authenticate through a series of defined actions and triggers, such as drawing, shaking, or rotating the device, to create a unique signature that is easier to remember and input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional text-based passwords are used for authentication, then the system is easy to implement and users can easily input, but the security is vulnerable to attacks and passwords are difficult to remember
Solution Approach 1:
The patent replaces traditional text-based password input (mechanical typing) with motion-based authentication using the device's motion sensors. Users perform specific physical motions like shaking, rotating, or tilting the device in particular patterns, which are captured by accelerometers and gyroscopes. This substitution eliminates the need to memorize complex text passwords while providing more secure authentication through unique motion patterns that are harder to replicate or steal.
2Reliability
If complex cryptographic authentication protocols are used, then security is improved, but the system becomes difficult to use and may be forgotten by users
Solution Approach 1:
The system automatically captures motion data using the device's built-in sensors (accelerometers, gyroscopes) without requiring user intervention beyond performing the motion. The authentication protocol automatically processes the motion patterns, compares them against stored templates, and validates authentication. This self-service approach eliminates the need for users to manually enter complex cryptographic credentials or remember intricate authentication sequences, while still providing strong security through unique motion pattern recognition.
3Reliability
If motion-based authentication is implemented, then security is enhanced through unique user patterns, but the device complexity increases due to multiple sensor requirements
Solution Approach 1:
The patent leverages the universal presence of motion sensors (accelerometers and gyroscopes) in modern mobile devices, which were originally designed for other functions like screen orientation, step counting, and gaming. By repurposing these existing multi-functional sensors for authentication purposes, the system enhances security through unique motion pattern recognition without significantly increasing device complexity. The same sensors that enable basic device functionality are utilized to capture authentication motions, eliminating the need for dedicated authentication hardware.
Data Source
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AI summary
A user device comprising a processor configured to enable a mnemonic based digital signature scheme for user authentication that is based on a combination of one or more secrets and one or more actions implemented on the user device and associated with the secrets, and a device input system coupled to the processor and configured to detect the actions implemented on the user device. Also disclosed is an apparatus comprising a processor configured to implement a mnemonic based digital signature for authenticating a user, a device input system configured to enable the mnemonic based digital signature, and a memory unit configured to store input data that is used to recognize the mnemonic based digital signature, wherein the mnemonic based digital signature comprises a secret, an action associated with the secret and implemented using the device input system, and a cue associated with the action.