Post-Quantum Cryptography With Quantum Attack Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Classical cryptosystems are vulnerable to quantum computers due to advancements in quantum computing, which can compromise encryption keys in polynomial time, necessitating the development of post-quantum-resistant cryptographic systems to secure data-in-transit and data-at-rest, especially in the hyper-connected IoT era.
Innovation Solution
Implementing a hybrid quantum-classical computing and communications network with quantum blockchain encryption key management, using quantum federated reinforcement learning agents to detect and isolate cryptanalytically relevant quantum computer attack vectors, and employing quantum-safe encryption algorithms to secure network traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If quantum computers are used to break encryption keys, then the speed of key compromise is improved (polynomial time), but the security of classical cryptosystems deteriorates
Solution Approach 1:
The patent segments the cryptographic system into quantum-resistant components, implementing post-quantum cryptographic algorithms that are specifically designed to withstand quantum computer attacks, thereby maintaining security while adapting to the new quantum computing threat landscape
Solution Approach 2:
The patent changes the cryptographic parameters by adopting post-quantum cryptographic algorithms with different mathematical foundations (such as lattice-based, code-based, or hash-based cryptography) that are not vulnerable to quantum attacks, fundamentally altering the security parameters of the system
2Reliability
If quantum-safe encryption algorithms are implemented, then security against quantum attacks is improved, but device complexity increases
Solution Approach 1:
The patent introduces quantum federated reinforcement learning agents as intermediary components that detect and isolate quantum attack vectors, providing a specialized security layer that manages the complexity of quantum-resistant cryptography while maintaining system security
Solution Approach 2:
The patent implements a hybrid quantum-classical computing network where quantum-safe encryption algorithms are integrated into existing infrastructure, allowing the system to perform both classical and quantum-resistant cryptographic operations through unified mechanisms
3Measurement precision
If network traffic is monitored for quantum attack vectors, then detection capability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-training quantum federated reinforcement learning agents to recognize quantum attack patterns, enabling rapid detection of quantum attack vectors in network traffic without requiring extensive real-time analysis, thus minimizing processing time delays
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of performing a packet analysis of protocol data unit (PDU) headers of inbound Internet and non-Internet traffic; determining whether the PDU headers identify the presence of a quantum payload and/or via deep packet inspection; detecting a presence of attack vectors in the quantum payload responsive to a determination that the PDU headers identify the presence of the quantum payload, wherein the attack vectors originate from a quantum computer, and wherein the attack vectors are cryptanalytically relevant; generating an alert responsive to detecting the presence of the attack vectors; and isolating compromised network elements, sets of elements, and/or other network components and/or subsystems, and route traffic around the compromised network elements, sets of elements, and/or other network components and/or subsystems. Other embodiments are disclosed.