Cryptographic Provenance for Streaming RF Sensor Data Using Segmented Merkle Trees with Merkle Mountain Range Aggregation

Defensive disclosure establishing prior art for a provenance architecture applied to tactical RF spectrum monitoring systems. The architecture combines segmented Merkle trees (256-record segments with SHA-256), Merkle Mountain Range aggregation for O(log n) inclusion proofs, ECDSA P-384 signed checkpoints for device identity binding, canonical MessagePack encoding for deterministic record hashing, an eleven-type event taxonomy for RF sensor system events, a distributed merge protocol for DDIL recovery with cross-anchor records, and a self-contained evidence package export with standalone offline verification. Implemented on ARM edge hardware (Raspberry Pi 5) for tactical spectrum monitoring.