Torus Knot Data Encryption for Quantum-Resistant Stream Security
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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 based on 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 under current computational capabilities, but the encryption becomes vulnerable to quantum computing attacks
Solution Approach 1:
The patent changes the fundamental parameter of encryption from traditional mathematical algorithms to geometric topology properties. By encoding data into torus knot structures and using knot invariants as cryptographic keys, the system achieves quantum resistance while maintaining security reliability. The geometric parameters of torus knots (such as winding numbers and knot complexity) serve as the new cryptographic parameters that are inherently resistant to quantum computational attacks.
2Reliability
If complex authentication mechanisms are implemented, then access control is strengthened, but the system becomes susceptible to social engineering and phishing attacks
Solution Approach 1:
The patent replaces traditional authentication mechanisms (which rely on user interaction and verification protocols) with a mathematical-geometric system based on torus knot encoding. The authentication is performed through cryptographic operations on knot structures rather than through user-facing authentication interfaces, eliminating the attack surface for social engineering and phishing while maintaining strong access control.
3Reliability
If robust encryption protocols are deployed, then data protection is enhanced, but significant resources are required for maintenance and updates
Solution Approach 1:
The torus knot-based encryption system is self-sustaining in terms of security maintenance. The geometric properties of torus knots are mathematically immutable and do not require updates or patches. Once the encryption keys are generated from knot invariants, they provide long-term security without requiring resource-intensive maintenance, updates, or reconfiguration, unlike traditional encryption systems that must continuously adapt to new computational threats.
Data Source
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AI summary
The present disclosure provides a method (100, 200, 300, 400) for encrypting data stream. The method comprises encoding (102, 406) data stream into one or more torus knots and generating (104, 502) a public key and a private key. The public key is generated from geometric properties associated with one or more torus knots, and private key comprises a unique decoding threshold and a unique identifier associated with a specific user or a session. The method (100, 200, 300, 400) further comprises combining (106) public key and private key to generate a session key and generating (108) one or more noise knots. Moreover, each noise knot is randomly generated and interspersed with torus knots. The method also comprises employing (110) a shuffling process to reorder torus knots and noise knots based on session key to encrypt data stream to generate an encrypted data stream.