Real-Time Cryptographic Function Transformation With N-State Inverters
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Solution Overview
Problem
Current cryptographic methods, such as AES, AES-CTR, AES-GCM, ChaCha20, and digital signature schemes like DSA, RSA, and hashing methods like SHA256/512, are prone to high predictability and vulnerability to attacks due to static computer functions and limited entropy, especially when nonce reuse or weak randomness occurs, failing to provide sufficient security against breaking and man-in-the-middle attacks without significantly impacting performance.
Innovation Solution
Implementing a computer-based method using n-state reversible inverters and transformations, such as the Finite Lab Transform (FLT), to modify encryption, hashing, and digital signature operations, including shuffling and inversion of bit sequences, to enhance security by introducing entropy and reducing predictability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard cryptographic methods (AES, RSA, SHA256) are used, then cryptographic operations can be performed efficiently, but the system becomes vulnerable to attacks due to static computer functions and limited entropy
Solution Approach 1:
The patent applies dynamics by transforming static cryptographic functions into dynamic ones. The computer function transformation module dynamically modifies the computer function being executed based on input data characteristics and operational context. This creates a living cryptographic system that adapts its behavior, preventing predictability and resistance to attacks while maintaining performance through optimized transformation algorithms.
Solution Approach 2:
The system changes parameters of the computer function execution in real-time. By modifying execution parameters such as instruction sequencing, operational modes, and data processing characteristics based on the specific cryptographic operation and threat model, the system achieves high security without fixed predictable behavior patterns.
2Reliability
If computer functions are made more complex to reduce predictability, then security improves, but processing performance deteriorates
Solution Approach 1:
The cryptographic processing is segmented into distinct functional modules: the computer function transformation module handles security transformations, while separate execution modules handle the actual cryptographic computations. This segmentation allows each component to be optimized independently - the transformation module for security and the execution module for speed - resolving the contradiction between complexity and performance.
Solution Approach 2:
The computer function transformation module acts as an intermediary between the cryptographic algorithm and the execution hardware. It translates and transforms the computer functions into optimized execution forms, shielding the complex security requirements from directly impacting performance-critical execution paths.
3Productivity
If static cryptographic functions are used, then implementation is simple and performance is maintained, but entropy is limited and predictability increases under threat models
Solution Approach 1:
The system incorporates feedback mechanisms where the output of cryptographic operations is fed back into the function transformation process. This feedback loop continuously introduces new entropy into the system by transforming previous outputs into new computational functions, preventing entropy loss while maintaining efficient processing through iterative optimization.
Data Source
AI summary
Data is processed by cryptographic operations selected from encryption, decryption, hashing, and public key exchange (PKI). Data elements are processed as n-state data elements with n an integer at least greater than 2 based on an n-state reversible n-state inverter. The n-state reversible inverter is a self-propagating n-state inverter generating different other n-state reversible inverters. The n-state reversible inverter is derived from a sequence of n n-state data elements with at least a first n-state data element occurring at least twice in different positions in the sequence and a second n-state data element not occurring. The n-state reversible inverter is created from the sequence of n-state data elements. A sequence of n n-state elements is created from a set of k n-state elements with k smaller than n. The k n-state elements are provided by a public key exchange or PKI method.