Self-Modifying Computing Machine Using Quantum Random Instructions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cybersecurity approaches fail to effectively secure computers and networks due to vulnerabilities in operating systems and the proliferation of mobile devices, and are susceptible to advanced attacks such as those enabled by quantum computing, including homomorphic cryptography which is slow and prone to tampering.
Innovation Solution
The introduction of non-deterministic, self-modifiable computing machines that incorporate meta instructions and random instructions, utilizing quantum randomness to generate unpredictable behaviors, allowing computations to exceed Turing barriers and enhance security by making it difficult for adversaries to tamper with or predict the execution of computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard cybersecurity approaches and operating systems are used, then computers and networks can operate with basic security measures, but they remain vulnerable to advanced attacks including quantum computing threats and homomorphic cryptography tampering
Solution Approach 1:
The patent implements dynamic instruction interpretation where the computing machine's behavior changes based on random firing patterns of active elements. The machine transitions between different computational states non-deterministically, making it impossible for adversaries to predict or tamper with the execution flow. This dynamic behavior directly addresses the security vulnerability by introducing inherent unpredictability into the computational process.
Solution Approach 2:
The patent changes the fundamental parameter of computational determinism by using random instructions that alter the firing patterns of active elements. These parameter changes occur at the hardware level through stochastic neuron firing, creating computational paths that cannot be predetermined or reversed, thereby resisting tampering attempts.
2Ease of operation
If deterministic computing machines are used, then computations follow predictable Turing-completable paths, but they can be analyzed and tampered with by adversaries
Solution Approach 1:
The patent inverts the traditional computing model by replacing deterministic instruction execution with non-deterministic random firing patterns. Instead of following predetermined computational paths, the machine explores multiple possible execution paths simultaneously through random active element firing, making adversary analysis ineffective while maintaining computational functionality.
Solution Approach 2:
The patent substitutes the mechanical deterministic instruction execution system with a stochastic neural network-based system. The replacement uses random firing patterns of active elements to determine computational flow, replacing the predictable mechanical sequence with a probabilistic biological-inspired mechanism that resists adversarial prediction.
3Reliability
If quantum randomness is incorporated into the computing machine, then computational security is enhanced through unpredictable behaviors, but the machine complexity increases
Solution Approach 1:
The patent implements self-service through auto-associative memory that automatically stabilizes random firing patterns into meaningful computational states. The system uses its own internal feedback mechanisms to organize the inherent randomness into structured computations, eliminating the need for external control structures and reducing overall system complexity while maintaining security.
Solution Approach 2:
The patent employs feedback loops where the output of active element firing patterns feeds back into the computational process, creating self-regulating computational paths. This feedback mechanism allows the system to maintain security through randomness while automatically correcting and organizing computational flow, reducing the need for complex external management structures.
Data Source
AI summary
Based upon the principles of randomness and self-modification a novel computing machine is constructed. This computing machine executes computations, so that it is difficult to apprehend by an adversary and hijack with malware. These methods can also be used to help thwart reverse engineering of proprietary algorithms, hardware design and other areas of intellectual property.Using quantum randomness in the random instructions and self-modification in the meta instructions, creates computations that are incomputable by a digital computer. In an embodiment, a more powerful computational procedure is created than a computational procedure equivalent to a digital computer procedure. Current digital computer algorithms and procedures can be constructed or designed with ex-machine programs, that are specified by standard instructions, random instructions and meta instructions. A novel computer is invented so that a program's execution is difficult to apprehend.