The widespread adoption of cloud computing exposes data, flows, and systems: major cyberattacks have become commonplace. In this context, cybersecurity can no longer be considered an add-on, but rather an intrinsic property of digital architectures. It is within this framework that INES (Intelligent Network Encryption System) has been developed, polymorphic symmetric cryptography technology, it is designed to ensure the protection of data and flows in open, distributed environments subject to strong operational constraints. 

Our approach was to imagine an Enigma machine whose rotors spin randomly, capable of resisting any form of decryption relying on brute force and statistics. And to develop INES, the decision was made to start from the fundamentals: the work of the German school of mathematics (Göttingen).

Our research draws its inspiration from:

– The Enigma machine (marine version) and Alan Turing's work on finite state machines

– Riemann's work on the distribution of prime numbers: «"The non-trivial zeros of the Zeta function are distributed on the complex line with real value ½.".

The algorithm therefore relies on dynamic and random mechanisms capable of evolving the encryption conditions to render brute-force decryption attempts ineffective. This approach makes it possible to efficiently encrypt large volumes of data while maintaining performance compatible with high latency and throughput requirements.

INES' design principles align with the challenges of post-quantum cryptography (CPQ), minimizing exposure to the vulnerabilities of asymmetric cryptographic models. Its dynamic approach ensures security without requiring hardware acceleration, offering significant flexibility in constrained environments.