Research

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Modular Prime Analysis (MPA) represents a significant advancement in the realm of prime number theory, providing a robust framework for enhancing data security through innovative encryption methods. At its core, MPA utilizes a deterministic and scalable approach to prime number analysis, enabling improved understanding and application of prime numbers within various cryptographic processes. This innovation is particularly impactful in the face of evolving cyber threats, as it addresses limitations present in traditional prime factorization techniques that often serve as the backbone of classical cryptographic systems.

Developed over 20 years and originating as a graduate thesis, MPA has matured into a methodology designed to address critical challenges in cryptography, computational mathematics, and national security. By leveraging modular arithmetic, iterative behavior, and residue cycles, MPA delivers precise and efficient solutions that reflect our commitment to precision, innovation, and integrity.

The deterministic nature of MPA provides a systematic and precise approach to prime identification, eliminating uncertainties associated with traditional probabilistic and sieving methods. By leveraging modular arithmetic, iterative behavior, and residue cycles, MPA achieves predictive accuracy and computational efficiency, scaling to ranges previously considered impractical. These attributes position MPA as a valuable resource for cryptographic key generation and prime verification, directly addressing NSA priorities in secure communications and computational security.

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One of the primary advantages of MPA is its ability to facilitate enhanced key generation, which is crucial in developing secure encryption protocols. By leveraging advanced mathematics, MPA can create cryptographic keys that are not only stronger but also more resistant to contemporary and emergent threats, including those posed by quantum computing. This post-quantum security measure ensures that the cryptographic frameworks deployed by organizations can withstand adversarial advances, thereby safeguarding sensitive data against potential breaches.

Moreover, the integration of MPA into existing cryptographic pipelines is notably seamless, presenting a significant improvement over conventional methods. Its efficient process allows organizations to bolster their data security without overhauling their existing systems, thus providing both immediate and long-term benefits. The real-world applications of MPA extend beyond traditional encryption protocols; its methodologies can be utilized in securing communications, protecting financial transactions, and even ensuring the integrity of governmental data.

Through these capabilities, Modular Prime Analysis holds the potential to transform national security strategies by providing precise, efficient methodologies to counter adversaries. The implications of adopting MPA within various sectors are profound, making it an essential component in the fight against cyber threats in an increasingly complex digital landscape.

Kimberly L. Craft, M.S., J.D.
Principal and Director of Research

Kimberly L. Craft serves as the Lead Investigator in the development of Modular Prime Analysis (MPA), a deterministic and scalable framework for understanding and predicting prime numbers.  

Craft holds an M.S. in Mathematics with a focus in number theory and a Juris Doctorate with a focus in intellectual property. Academic studies include the Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology (data analytics), Arizona State University’s Fulton School of Engineering (electrical engineering), the University of Illinois-Chicago (law), and Indiana State University (mathematics). She is a member of the Society of Industrial and Applied Mathematics (SIAM) and belongs to the Activity Groups on Data Science, Discrete Mathematics, and Dynamical Systems.  She is also a member of the Institute of Electrical and Electronics Engineering (IEEE) and the society on Information Theory.   She holds certifications in German language and economics from the Goethe-Institut in Munich and data analytics from Harvard University. This interdisciplinary expertise combines technical knowledge with legal and analytical insights, enabling innovative solutions to complex operational challenges.