Zero-trust token authorization with trapdoor hashes for scalable distributed firewalls
Massive Internet of Things (IoT) deployments expose networks to severe risks, as a single compromised device can facilitate lateral movements across the entire infrastructure. Traditional firewalls, based on static rules, are fragile, difficult to synchronize across domains, and poorly suited for Zero Trust principles. In this work, we propose a scalable authorization architecture where each flow carries a cryptographically protected token that incorporates a signed and immutable policy, verifiable in a non-interactive manner. The tokens are issued based on attestation evidence, and the messages are reinforced using trapdoor chameleon hashes , which allows for flexible delegation and transferability without invalidating the original policy. Through key aggregation techniques, we enable collaborative issuance, optional anonymity, and multi-party governance. The experimental evaluation in a real testbed demonstrates that the verification of this embedded authorization incurs a fixed and predictable cost—higher than that of rule lookups, but constant regardless of network size, rule growth, or concurrency. This balance eliminates the burden of distributing and maintaining large rule tables while ensuring granular per-flow authorization, privacy preservation, and interoperability between providers. The proposal materializes a Zero Trust model resistant to impersonation, replay, and lateral attacks, and lays the groundwork for future optimizations through the progressive incorporation of post-quantum primitives.
Authors
- Celeste Campo (ORCID: https://orcid.org/0000-0003-1788-890X)
- Florina Almenárez (ORCID: https://orcid.org/0000-0002-5232-2031)
- Daniel Díaz-Sánchez (ORCID: https://orcid.org/0000-0002-3323-6453)
- Carlos García-Rubio (ORCID: https://orcid.org/0000-0002-4635-722X)
Institutions
- Universidad Carlos III de Madrid (ES)
Publication Details
- Journal
- Future Generation Computer Systems
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1016/j.future.2025.108227
- Primary Topic
- Network Packet Processing and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00