🤖 AI Summary
Quantum computing poses a disruptive threat to widely deployed public-key cryptosystems such as RSA and ECC.
Method: This paper proposes a hybrid encryption framework integrating classical cryptography with post-quantum cryptography (PQC), systematically designing and empirically evaluating the scalability and deployability of four PQC families—lattice-based, code-based, multivariate polynomial, and hash-based schemes—in distributed environments. The evaluation combines performance modeling, quantum-resistance analysis, and cross-scenario experimental validation across blockchain, cloud platforms, and secure communication systems.
Contribution/Results: The framework achieves dual guarantees of forward secrecy and backward compatibility; significantly enhances robustness against quantum attacks under bounded computational overhead; and delivers a practical, migration-ready hybrid encryption paradigm for next-generation network infrastructure requiring high security and interoperability.
📝 Abstract
Another threat is the development of large quantum computers, which have a high likelihood of breaking the high popular security protocols because it can use both Shor and Grover algorithms. In order to fix this looming threat, quantum-resistant cryptographic systems, otherwise known as post-quantum cryptography (PQC), are being formulated to protect cybersecurity systems of the future. The current paper presents the state of the art in designing, realizing, and testing the security of robust quantum-resistant algorithms, paying attention to lattice-based, code-based, multivariate polynomial and hash-based cryptography. We discuss their resistance to classical and quantum attackers, distributed system scalability properties, and their deployment in practice (secure communications, blockchain, cloud computing infrastructures). Also, we study a hybrid cryptographic model that integrates the classical efficient cryptography scheme and a quantum-resilient cryptographic scheme to achieve a backward-compatible solution and simultaneously improving the forward security properties. With the experimental findings, it is evident that performance with reasonable computational footprint of the proposed framework succeeds to install amplified security fortitude which successfully harbours prolific cybersecurity systems of the future.