Edge Data Steganography for Secure Sensitive Stream Sharing
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Solution Overview
Problem
Existing systems fail to securely transmit sensitive data between edge devices, exposing it to unauthorized access and modification during data streams, which impacts the performance of computer-implemented services.
Innovation Solution
Embed sensitive data in digital content data using steganography, converting it into a steganographic manner within edge devices, ensuring the data is imperceptible in the data stream and using embedding control data for extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If sensitive data is transmitted in clear text between edge devices, then transmission speed and simplicity are improved, but security and protection from unauthorized access deteriorate
Solution Approach 1:
The patent segments sensitive data into multiple chunks and distributes them across different digital content files. Each chunk is embedded in separate cover media (images, videos, audio files), so that unauthorized parties would need to intercept and combine multiple files to reconstruct the original data, thereby maintaining security while enabling efficient transmission through normal data streams.
Solution Approach 2:
The patent uses digital content data (images, videos, audio files) as intermediary carriers to hide sensitive data chunks. These cover media serve as stealth vessels that mask the presence of embedded data, allowing secure transmission through networks without raising suspicion or requiring special security protocols that would slow down communication.
2Reliability
If sensitive data is embedded in digital content data using steganography, then security and protection from unauthorized access are improved, but data transmission complexity and processing requirements worsen
Solution Approach 1:
By dividing sensitive data into smaller chunks, the patent reduces the computational burden on each edge device during embedding and extraction operations. Each device only needs to process individual chunks rather than large volumes of data, simplifying the steganographic operations while maintaining overall security through the distributed nature of the chunks.
Solution Approach 2:
The patent employs universal steganographic techniques that can be applied across multiple types of digital content (images, videos, audio files) using the same embedding and extraction algorithms. This multi-functionality reduces the need for specialized processing for different media types, thereby lowering overall system complexity despite the enhanced security measures.
3Difficulty of detecting and measuring
If sensitive data is chunked and embedded inconspicuously in digital content data, then detection difficulty and security are improved, but data transmission time and processing overhead worsen
Solution Approach 1:
The patent chunks sensitive data into smaller segments that can be quickly embedded into readily available digital content files. This segmentation allows parallel processing during embedding operations, reducing overall processing time while maintaining low detectability through the distributed nature of the chunks across multiple files.
Solution Approach 2:
The system performs preliminary actions by maintaining repositories of pre-existing digital content files (images, videos, audio) that can be immediately used as carriers for embedded data. This eliminates the need to generate cover media during transmission, reducing processing time while the steganographic embedding maintains detection difficulty through clever integration into existing files.
Data Source
AI summary
Methods and systems for managing data in a deployment comprising edge devices are disclosed. The data may include sensitive data. The sensitive data may be managed by embedding the sensitive data in digital content data in a steganographic manner. After embedding the sensitive data, the digital content data may be transmitted between edge devices through a data stream. In the transmission of the digital content data, the sensitive data may be imperceptible to monitoring by an unauthorized third-party. Because the sensitive data may be imperceptible in the transmission, the edge devices may securely share the sensitive data. Because the edge devices may securely share the sensitive data, computer implemented services may be improved.