## 5 Conclusions and Perspectives
Specifically, it seeks to enhance the current level of data security and protection beyond what existing storage technologies offer and to establish a clear conceptual and operational distinction between the owner of the information and the manager or holder of the data. Through fragmentation, the data manager--who oversees the fragments--lacks the authority held by the information owner, specifically the digital key required to reassemble the fragments into the original file. This infrastructure, as demonstrated, ensures that the data holder and the information owner are no longer conflated. Moreover, fragmented data remain inaccessible in their original form unless the appropriate credentials and the owner's digital key--or those of an authorized party--are available. To achieve these objectives within the domain of information systems, the solution had to overcome several challenges that the existing literature has either left unresolved or addressed only partially. The first challenge involved implementing fine-grained decentralization, targeting the fragmentation level rather than treating the content as a monolithic entity. While current decentralized solutions effectively distribute content across multiple machines with replication, redundancy, and other mechanisms, this approach also integrates robust security measures by dividing content into multiple fragments. However, this introduces complexities such as deciding how many fragments to generate, whether their number should be fixed or variable, determining their sizes relative to the original file or processing time, and securing their transmission across network nodes. As detailed in Section 3, the solution can generate the fragments and guides their distribution across infrastructure nodes. The approach involves creating a random number of fragments with random sizes, ensuring that repeated fragmentation of the same file produces different results each time. Securing the distribution of these fragments presents another critical aspect. Although transmission channels are generally considered secure, the solution enhances security by encrypting fragments with a hybrid algorithm. This ensures that each fragment is uniquely encrypted, forcing an attacker to decrypt each fragment individually rather than exploiting a single key. To further strengthen data security and differentiate between the data manager (who controls the fragments) and the information owner (who owns the original file, ideally stored only temporarily and never in plaintext for improved security), the solution addresses the concept of Information Fusion. This involves preventing attackers from combining fragments to reconstruct the original information. The solution employs a novel strategy by assigning each binary fragment a \"contiguity property,\" allowing fragments to recognize their immediate neighbors. Inspired by principles observed in Nature, particularly in the structure of materials at atomic or quantum scales, where atoms or molecules interact with their nearest neighbors, this approach eliminates the need for public databases to store reconstruction tables. Such tables, if present, would represent significant security vulnerabilities. Another key innovation tackled in this work was crypto agility, ensuring the system's resilience and robustness against quantum attacks. The proposed solution is designed to provide ultra-secure data storage not only in the current technological landscape but also in anticipation of the capabilities of future quantum computers. Achievingcrypto agility involves introducing dynamic properties to the fragments. As shown, these dynamic fragments exhibit two main features: their physical or logical locations change over time, and their informational content evolves dynamically. As explained in Section 3, these capabilities were achieved using equations and mechanisms derived from Quantum Mechanics.