Semantic Transposition Encryption for Stealth Human-Readable Ciphertext
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Solution Overview
Problem
Modern cryptography paradigms are vulnerable to quantum computing and A.I. cryptanalysis, produce identifiable ciphertexts that draw attention, provide self-authentication, and lack deniability, leading to increased cryptanalytic targeting and unauthorized disclosure.
Innovation Solution
A method of semantic transposition encryption that maps plaintext to a semantics-and-language model, applying a semantic transposition to produce human-readable ciphertext in a distinct semantic domain, preserving the topology and relationships for symmetric decryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mathematical encryption is used to transform plaintext into ciphertext, then security is provided through hard-math functions, but the ciphertext presents as nonsense which draws attention and identifies it as a cryptanalytic target
Solution Approach 1:
The patent introduces an intermediary semantic domain as a mediator between the original plaintext and the ciphertext. Instead of directly encrypting plaintext into nonsense ciphertext, the system maps plaintext to a semantic representation, then transposes it to a different semantic domain to produce ciphertext that appears as meaningful text. This intermediary semantic layer masks the cryptographic operation from adversaries, preventing them from identifying the text as encrypted content.
Solution Approach 2:
The patent applies a semantic transposition that changes the 'color' or semantic domain of the text. Just as color changes can mask the identity of an object, the transposition transforms plaintext from one semantic domain (e.g., military communications) to another (e.g., weather patterns), making the ciphertext indistinguishable from ordinary meaningful text and eliminating the harmful effect of being identified as a cryptanalytic target.
2Loss of information
If mathematical decryption is used to recover plaintext from ciphertext, then the original meaning is recovered, but successful decryption provides instant feedback to adversaries indicating they have found the correct solution
Solution Approach 1:
The patent inverts the traditional encryption paradigm by making decryption ambiguous rather than deterministic. In conventional systems, successful decryption produces the unique correct plaintext. In this patent, decryption produces one of many possible meaningful texts from the original semantic domain, making it impossible for adversaries to know when they have succeeded. The inversion transforms the clear success marker into fundamental ambiguity.
Solution Approach 2:
The patent changes the parameter of decryption uniqueness. Instead of decryption yielding a single correct result, the semantic transposition ensures that multiple different plaintexts could have produced the same ciphertext. This parameter change eliminates the binary success/failure feedback that currently aids cryptanalytic attacks.
3Object-affected harmful factors
If semantic transposition is applied to produce meaningful ciphertext, then stealth and deniability are achieved, but the encryption method diverges from traditional mathematical paradigms
Solution Approach 1:
The patent substitutes the mathematical-mechanical encryption system with a semantic-linguistic system. Instead of using mathematical functions to transform plaintext, the system uses semantic mapping and transposition based on language models and meaning representations. This substitution enables meaningful ciphertext output while achieving stealth, as the process replaces traditional cryptographic mechanics with semantic transformation.
Data Source
AI summary
A method for linguistically encrypting a plaintext, comprising mapping the plaintext to a semantics and language model, thereby forming a semantically mapped plaintext; deriving a topology of the semantically mapped plaintext; and either conserving the topology during the semantic transposition, or performing a reversible transformation on the topology which is expected to be eventually reversed during decryption. Using an encryption key for linguistic encryption, a semantic transposition is applied onto the semantically mapped plaintext to produce a ciphertext which is a human-readable text in a semantic domain distinct from the plaintext. Conversely, the method can be used for decryption of the ciphertext into the plaintext using a decryption key. A zero-knowledge-proof can be used by sending a query in the semantic domain of the ciphertext, and a reply to the combined query and ciphertext can be generated using the semantic transposition engine (STE) by both parties for sharing and comparison.