Cryptography-Driven Deterministic Logical Timeline: A Temporal Baseline for Machine Collaboration and AI Auditing

Mobile communication is transitioning from "human communication" to "machine communication". The core scenarios of 6G—industrial control, satellite constellations, UAV swarms, and AI agents—impose entirely new requirements on communication: deterministic latency, intrinsic security, zero-signaling collaboration, and infrastructure-free self-organization. However, the underlying logic of existing communication systems has always been "first align physical clocks, then allocate resources through signaling interactions", a paradigm that encounters fundamental bottlenecks in machine communication scenarios. This paper proposes a cryptography-driven deterministic logical timeline, driven by a Dynamic Security Foundation (DSF) that operates a Protocol Security State Machine (PSSM). Each node independently evolves a logical state S(n) and samples a physical anchor T_anchor(n) at logical decision moments, forming a logical-physical dual anchoring. Behavior records are linked via cryptographic hash chains. A verifier holding the same DSF can independently recompute S(n), verify the integrity of the behavior chain, and trace the physical time position. This paper systematically elaborates on three fundamental dilemmas: the irreversibility of physical time, the untrustworthiness of physical clocks, and the inability to independently verify third-party stored evidence. It provides a security model, contrasts the proposed scheme with Lamport clocks, blockchain storage, TEE, and other approaches, and validates feasibility through an AI call auditing example. The logical timeline serves as a unified temporal baseline for AI compliance control, token generation determinism, output determinism, and cross-domain verification.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-09
DOI
https://doi.org/10.5281/zenodo.23256664
Primary Topic
Blockchain Technology Applications and Security
Type
preprint
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preprint

Cryptography-Driven Deterministic Logical Timeline: A Temporal Baseline for Machine Collaboration and AI Auditing

Zhehao Wang, Yong Qiu
Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
preprint

Cryptography-Driven Deterministic Logical Timeline: A Temporal Baseline for Machine Collaboration and AI Auditing

Zhehao Wang, Yong Qiu
preprint en

Abstract

Mobile communication is transitioning from "human communication" to "machine communication". The core scenarios of 6G—industrial control, satellite constellations, UAV swarms, and AI agents—impose entirely new requirements on communication: deterministic latency, intrinsic security, zero-signaling collaboration, and infrastructure-free self-organization. However, the underlying logic of existing communication systems has always been "first align physical clocks, then allocate resources through signaling interactions", a paradigm that encounters fundamental bottlenecks in machine communication scenarios. This paper proposes a cryptography-driven deterministic logical timeline, driven by a Dynamic Security Foundation (DSF) that operates a Protocol Security State Machine (PSSM). Each node independently evolves a logical state S(n) and samples a physical anchor T_anchor(n) at logical decision moments, forming a logical-physical dual anchoring. Behavior records are linked via cryptographic hash chains. A verifier holding the same DSF can independently recompute S(n), verify the integrity of the behavior chain, and trace the physical time position. This paper systematically elaborates on three fundamental dilemmas: the irreversibility of physical time, the untrustworthiness of physical clocks, and the inability to independently verify third-party stored evidence. It provides a security model, contrasts the proposed scheme with Lamport clocks, blockchain storage, TEE, and other approaches, and validates feasibility through an AI call auditing example. The logical timeline serves as a unified temporal baseline for AI compliance control, token generation determinism, output determinism, and cross-domain verification.

Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
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