Multimodal Biometric Profiling via Steganographic Embedding
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Solution Overview
Problem
Current biometric profiling systems face challenges in securing biometric data during transmission and storage due to unauthorized interception and modification, limited storage capacity, and bandwidth constraints, particularly in low-security applications.
Innovation Solution
A multimodal biometric profiling system employing steganography to encrypt and conceal biometric templates based on security requirements, using a processor to determine threshold values for embedding biometric template bits in cover image pixels, reducing data size and ensuring secure storage and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric data is transmitted and stored in conventional systems, then biometric information can be accessed and verified, but the data becomes vulnerable to unauthorized interception and modification
Solution Approach 1:
The biometric template is divided into multiple bits that are independently embedded into different pixels of the cover image. Each pixel contains a portion of the biometric data, and the bits are distributed across the image in a segmented manner to enhance security and prevent complete data compromise
Solution Approach 2:
The biometric template is nested within a cover image using steganography techniques. The biometric data bits are embedded inside the pixel structures of the cover image, creating a nested configuration where the sensitive information is concealed within the benign-looking image file
Solution Approach 3:
A cover image serves as an intermediary medium to transmit and store biometric data. Instead of directly transmitting or storing the biometric template, the system uses the cover image as a mediator that carries the embedded biometric information, providing an additional layer of protection
2Reliability
If biometric templates are stored with additional security measures, then security is improved, but storage capacity requirements increase
Solution Approach 1:
The biometric template storage is merged with the cover image file. Instead of storing biometric data separately in dedicated secure storage, the system combines the biometric template with the cover image, utilizing the image file's storage space to hold both the image data and the embedded biometric information
Solution Approach 2:
The biometric template is nested within the cover image structure, allowing the biometric data to occupy only a portion of the available storage space while the rest of the storage capacity remains available for other purposes. This nested approach enables secure storage without proportionally increasing total storage requirements
3Reliability
If biometric data is transmitted securely with encryption, then security is improved, but bandwidth requirements increase
Solution Approach 1:
The biometric template transmission is merged with the cover image transmission. Instead of separately transmitting encrypted biometric data over the network, the system combines the biometric template with the cover image file, allowing both data types to be transmitted together in a single data stream, thereby reducing overall bandwidth consumption
Solution Approach 2:
The system uses the cover image as a carrier copy that contains the biometric information. Rather than transmitting the biometric template directly, the system transmits a copy of the cover image that has the biometric data embedded within it, utilizing the image file's existing data structure to carry the additional information efficiently
Data Source
AI summary
Multimodal biometric profiling may include receiving a cover image and a biometric template for a person. An indication of a security requirement related to biometric profiling for the person may be received. A threshold value may be determined based on the indicated security requirement. The threshold value may be used to limit a number of biometric template bits of the biometric template that are embedded in a predetermined bit position of a cover image pixel of the cover image based on cover image intensity associated with the predetermined bit position.