Seonghyun Kim (Ericsson Research)

Intent-based networking frameworks such as 3GPP TS 28.312 introduce utility-driven fulfilment, where producers map high-level intents to quantitative targets via utility formulas over KPIs, but the relationship between the KPIs declared in the intent expectation and the KPIs used in the utility is unconstrained. We address this Utility–Expectation gap with PICKLE (Patchable InCremental multiproof merKLE tree), a generic hash-only provenance layer for such settings. PICKLE commits an application’s state vector in an incremental Merkle tree and equips each verifier with a batch proof expressed purely in terms of node positions. A single global sibling map stores each required hash at most once, while per-verifier proofs reference this map without duplicating hashes. Leaf updates patch the global map along the affected paths, leaving proof structure unchanged. As a result, patch communication scales with the number of distinct touched siblings rather than with the number or size of verifier batches while preserving per-verifier isolation. We implement PICKLE and compare it to per-path proofs and per-verifier multiproofs on synthetic multi-verifier workloads. Across varied verifier numbers and tree sizes, PICKLE reduces patch communication cost and update time, while relying only on hash computations and simple table lookups.

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Yingnan Zhou (Nankai University), Yuhao Liu (Nankai University), Hanfeng Zhang (Nankai University), Yan Jia (Nankai University), Sihan Xu (Nankai University), Zhiyuan Jiang (National University of Defense Technology), Zheli Liu (Nankai University)

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Alan T. Sherman (University of Maryland, Baltimore County (UMBC)), Jeremy J. Romanik Romano (University of Maryland, Baltimore County (UMBC)), Edward Zieglar (University of Maryland, Baltimore County (UMBC)), Enis Golaszewski (University of Maryland, Baltimore County (UMBC)), Jonathan D. Fuchs (University of Maryland, Baltimore County (UMBC)), William E. Byrd (University of Alabama at Birmingham)

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Song Liao (Texas Tech University), Jingwen Yan (Clemson University), Yichen Liu (University of Illinois Urbana-Champaign), David Kotz (Dartmouth College), Luyi Xing (University of Illinois Urbana-Champaign), Long Cheng (Clemson University)

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