Split Security Solutions for Video and Audio Encryption
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Solution Overview
Problem
Existing cryptographic methods generate committed ciphertexts that are vulnerable to quantum computing cryptanalysis, particularly for large plaintexts like audio and video streams, as they require unwieldy large ciphertexts or keys, making them impractical for high-security applications.
Innovation Solution
The Split Security Solutions (S3) method identifies high-entropy parts of the plaintext and encrypts them with quantum-cryptanalysis-resistant (QCR) ciphers, while encrypting less critical parts with quantum-cryptanalysis-vulnerable (QCV) ciphers, optimizing security and convenience by adjusting the ratio of QCR to QCV encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum-cryptanalysis-resistant (QCR) ciphers are applied to large plaintexts, then security against quantum computing attacks is improved, but ciphertext size and operational complexity become unwieldy
Solution Approach 1:
The plaintext is divided into multiple segments or blocks, allowing selective application of QCR encryption to only those segments containing high-entropy or sensitive data, rather than encrypting the entire large plaintext with QCR methods
Solution Approach 2:
Different encryption strengths are applied to different parts of the plaintext based on their entropy characteristics - high-entropy segments receive QCR encryption while low-entropy segments use conventional encryption, optimizing both security and efficiency
2Reliability
If QCR encryption is applied to all plaintext data, then maximum security is achieved, but processing time and computational resources increase significantly
Solution Approach 1:
Instead of applying QCR encryption to the entire plaintext, the method applies it only partially to specific high-entropy segments that require maximum security, while using faster conventional encryption for the remainder of the data
3Reliability
If high-entropy segments are encrypted with QCR ciphers, then security for critical data is improved, but system complexity increases due to segmentation and selective encryption
Solution Approach 1:
The system performs preliminary analysis of the plaintext to identify high-entropy segments before encryption, allowing the segmentation and selective encryption strategy to be implemented efficiently with minimal additional complexity
Data Source
AI summary
Audio files and Video files are processed with a new level of security by first spotting parts thereof with a strong entropic impact, and treating these sensitive parts (e.g. human faces, secret gadgets) with equivocation generating ciphers that would withstand quantum computer cryptanalysis.


