Torus Knot Data Stream Encryption With Noise-Knot Shuffling
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Solution Overview
Problem
Existing encryption methods are vulnerable to quantum computing threats and require significant resource investment for maintenance, and authentication systems can be compromised through social engineering and phishing attacks.
Innovation Solution
A method for encrypting data streams using torus knots, generating public and private keys from geometric properties, interspersing noise knots, and employing shuffling processes to enhance security against classical and quantum computational attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional encryption algorithms are used, then data security is maintained, but vulnerability to quantum computing attacks increases
Solution Approach 1:
The patent changes the mathematical parameters from traditional cryptographic algorithms to torus knot geometry, using topological properties (knot types, crossings, embeddings) instead of number-theoretic problems. This parameter transformation creates encryption that is resistant to both classical and quantum computational attacks, as the security relies on the complexity of knot theory rather than computational hardness assumptions.
Solution Approach 2:
The patent replaces the mechanical/computational encryption system with a geometric-topological system. Instead of using mathematical operations that can be accelerated by quantum algorithms, the system uses the intrinsic geometric properties of torus knots in three-dimensional space, which are fundamentally different from traditional cryptographic mechanisms and thus resistant to quantum attacks.
2Reliability
If authentication systems are enhanced with multi-factor verification, then access security is improved, but susceptibility to social engineering and phishing attacks remains
Solution Approach 1:
The patent introduces biometric characteristics as an intermediary between the user and the authentication system. Instead of relying on knowledge-based authentication (passwords, PINs) that can be phished or socially engineered, the system uses physiological or behavioral biometric traits that are inherently difficult to replicate or steal, thereby mediating the authentication process and reducing vulnerability to social engineering attacks.
3Reliability
If security protocols are updated continuously, then protection against emerging threats is improved, but resource investment and maintenance complexity increase
Solution Approach 1:
The patent performs preliminary action by establishing a quantum-resistant encryption framework based on torus knots that is designed to withstand future computational advances. By adopting this forward-looking cryptographic approach upfront, organizations can prepare their security infrastructure now to resist quantum attacks in the future, avoiding the need for continuous updates and migrations when quantum computing becomes viable.
4Reliability
If encryption complexity is increased to resist quantum attacks, then security against quantum computing is improved, but computational resource requirements increase
Solution Approach 1:
The patent changes the computational parameters from traditional cryptographic operations (which require intensive calculations) to geometric operations on torus knots. The encryption and decryption processes involve manipulating knot configurations and topological transformations, which are computationally more efficient than traditional quantum-resistant algorithms like lattice-based or code-based cryptography, thereby reducing the energy and computational resources required while maintaining quantum security.
Data Source
AI summary
The present disclosure relates to a method for encrypting a data stream. The method comprises encoding the data stream into one or more torus knots and generating a public key and a private key. The public key is generated from the geometric properties associated with the one or more torus knots and the private key comprises a unique decoding threshold and a unique identifier associated with a specific user or a session. The method further comprises combining the public key and the private key to generate a session key and generating one or more noise knots. Moreover, each noise knot is randomly generated and interspersed with the torus knots. The method also comprises employing a shuffling process to reorder the torus knots and the noise knots based on the session key to encrypt the data stream to generate an encrypted data stream.