A Probabilistic Framework for Forecasting Cryptographic Security Under Quantum and Classical Threats
This paper presents a probabilistic, multi-layered framework designed to forecast the longevity and security of cryptographic systems under the dual pressures of classical and quantum computational threats. The model integrates thermodynamic decay analogies, stochastic transitions via Hidden Markov Models, and an adapted financial option pricing method to quantify cryptographic degradation, strategic risk, and transition readiness. This framework can guide standardization roadmaps, cipher retirement, or quantum-migration planning, guiding proactive, instead of reactive, crypto agility. Furthermore, it provides a quantitative methodology to complement the current opinions expressed in surveys, as well as a qualitative approach to cryptographic security risk projections.
Authors
- R. A. Fraser
- Sebastian Ratto Valderrama
- Jesse Van Griensven Thé
- Nadeem Said
- Andy Thanos
- Mark Pecen
- José R. Rosas-Bustos
Institutions
- Cisco Systems (United States) (US)
- University of Waterloo (CA)
- Lakes Environmental (Canada) (CA)
- Applied Quantum Technologies (United States) (US)
- Quantum Technologies (Sweden) (SE)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Symmetry
- Published
- 2026-02-06
- DOI
- https://doi.org/10.3390/sym18020297
- Primary Topic
- Information and Cyber Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Sciences and Engineering Research Council of Canada