Entangled Cyclical Encryption Architecture: The Paradigm Cipher for a Fractured World
- 1 Perfect Computing Solutions, Inc., Madison County, IL, USA
Abstract
The accelerating pace of quantum computing has drastically shortened the expected timeline for breaking classical encryption—surpassing predictions by a factor of 500 or more. Lattice-based encryption, once considered a post-quantum solution, is now increasingly vulnerable due to its susceptibility to key vector mapping, high-level dictionary attacks, rainbow table optimizations that exploit weaknesses in static key structures, as well as misestimated quantum capabilities. The Entangled Cyclical Encryption Architecture (ECEA) introduces a paradigm shift: a 12-phase, self-evolving encryption architecture where the key and data are codependent and transform recursively. Rather than treating the key as a static unlock mechanism, this method uses the longer of the key, or the data to encrypt and reshape the data 1000’s of times, producing emergent, entangled ciphertext that cannot be decrypted without fully reversing the entire cycle. Additionally, the cyclical nature of the process wraps around the existing data, minimizing extra storage requirements and keeping the encrypted output close in size to the original. This adaptive structure eliminates common cryptanalytic attack vectors, ensures resistance against quantum-based brute force and pattern-seeking algorithms, and future-proofs data protection by enabling dynamic complexity growth alongside computing advancements. 3 new algorithms have been created that utilize aspects of this technology. Unlike traditional methods, no predictable rules, reduction paths, or reusable structures exist, rendering all 3 ECE (Entangled Cyclical Encryption) algorithms fundamentally resistant to both classical and quantum decryption attack strategies. This methodology also allows the encryption architecture to expand with technology for decades.
- Public Information. Flowchart of LB-RSA Key Generation. https://www.researchgate.net/figure/Flowchart-of-LB-RSA-Key-Generation_fig1_341504566
- Sravya, G., Kumar, P.S. and Padmavathy, R. (2024) Survey of Post-Quantum Lattice-Based Ciphertext-Policy Attribute-Based Encryption Schemes for Cloud Storage: Taxonomy, Open Issues, and Future Directions. IEEE Transactions on Services Computing , 17, 4540-4557. https://doi.org/10.1109/tsc.2024.3479930
- Xagawa, K. (2018) Practical Cryptanalysis of a Public-Key Encryption Scheme Based on Non-Linear Indeterminate Equations at SAC 2017. In: Lange, T. and Steinwandt, R., Eds., Post - Quantum Cryptography . PQCrypto 2018, Springer International Publishing, 142-161. https://doi.org/10.1007/978-3-319-79063-3_7
- Xu, Z., Pemberton, O., Oswald, D. and Zheng, Z. (2023) Reveal the Invisible Secret: Chosen-Ciphertext Side-Channel Attacks on NTRU. In: Buhan, I. and Schneider, T., Eds., Smart Card Research and Advanced Applications , Springer, 227-247. https://doi.org/10.1007/978-3-031-25319-5_12
- Wendt, D.W. (2024) Combatting Generative AI Threats. In: Wendt, D.W., Ed., The Cybersecurity Trinity , Apress, 151-172. https://doi.org/10.1007/979-8-8688-0947-7_5
- Ahn, J., Hussain, R., Kang, K. and Son, J. (2025) Exploring Encryption Algorithms and Network Protocols: A Comprehensive Survey of Threats and Vulnerabilities. IEEE Communications Surveys & Tutorials , 1.
- E'mari, S.A., Sanjalawe, Y. and Allehyani, B.A. (2025) Quantum Computing Implications in Generative AI Cybersecurity. In: Almomani, A. and Alauthman, M., Eds., Examining Cybersecurity Risks Produced by Generative AI , IGI Global, 609-642. https://doi.org/10.4018/979-8-3373-0832-6.ch025
- Vadisetty, R. and Polamarasetti, A. (2024) Quantum Computing for Cryptographic Security with Artificial Intelligence. 2024 12 th International Conference on Control , Mechatronics and Automation ( ICCMA ), London, 11-13 November 2024, 252-260. https://doi.org/10.1109/iccma63715.2024.10843897
- Panteli, A. (2025) White Paper: Quantum Readiness-Strategic Imperatives for Enterprise Organisations. European Journal of Business and Management Research , 10, 144-151. https://doi.org/10.24018/ejbmr.2025.10.3.2705