ECB Encryption Noise Injection Pattern Hiding
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Solution Overview
Problem
Current electronic code book (ECB) encryption methods poorly hide patterns in encrypted data, making confidential information susceptible to hacking, especially when displayed on devices, as patterns remain visible to the human eye and optical character recognition products, even when encrypted.
Innovation Solution
Injecting noise into image pixels before encryption using ECB encryption to create a robust ciphertext that randomizes pixel values, making patterns undetectable, thereby enhancing security without significantly altering the image's appearance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If ECB encryption is used to encrypt confidential information, then encryption simplicity and ease of implementation are improved, but pattern visibility and security are worsened
Solution Approach 1:
The patent applies preliminary action by injecting noise into the image data before encryption occurs. This pre-processing step modifies the plaintext by adding random noise values to pixel values, ensuring that even simple ECB encryption produces ciphertext without visible patterns. The noise injection happens in advance, before the encryption algorithm processes the data, thus maintaining encryption simplicity while improving security.
2Device complexity
If ECB encryption is used without noise injection, then encryption process simplicity is improved, but pattern detectability by hackers is worsened
Solution Approach 1:
The patent introduces noise as an intermediary element between the original image data and the encryption process. This noise acts as a mediator that transforms the structured plaintext into a more random form before encryption, thereby preventing patterns from being preserved in the ciphertext. The noise injection adds a layer of complexity only to the data preparation stage, not to the encryption algorithm itself.
3Reliability
If noise is injected into image pixels before encryption, then pattern hiding and security are improved, but processing complexity is worsened
Solution Approach 1:
The patent applies local quality by injecting noise specifically at the pixel level rather than transforming the entire image structure. Each pixel value is independently modified by adding noise, which keeps the processing localized and simple. This approach improves security by randomizing the data at the finest granularity level without requiring complex global transformations or altering the overall processing architecture.
Data Source
AI summary
In general, in one aspect, noise is injected into a bitmap associated with content to be presented on a display to create a noisy bitmap. The noisy bitmap is encrypted using electronic code book (ECB) encryption. The resulting ciphertext does not include recognizable patterns from the content as is typical with ECB encryption. The injection of noise may include modifying pixel values for at least a subset of pixels in the bitmap. The pixel values may be modified by using a counter, a known modification pattern, or a random number generator. The bitmap may be analyzed to determine how the bitmap can be modified to maximize the randomness of the bitmap while ensuring that the noisy bitmap is visually perceptually similar when presented. The noise may be injected into a block of pixels prior to the block being encrypted.