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.

View More Papers

BPA-X: An Architecture-Agnostic Block-Based Points-to Analysis for Stripped Binaries

Bokai Zhang, Monika Santra, Syed Rafiul Hussain, Gang Tan (Pennsylvania State University)

Read More

FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking...

Shaoyuan Xie (University of California, Irvine), Mohamad Habib Fakih (University of California, Irvine), Junchi Lu (University of California, Irvine), Fayzah Alshammari (University of California, Irvine), Ningfei Wang (University of California, Irvine), Takami Sato (University of California, Irvine), Halima Bouzidi (University of California Irvine), Mohammad Abdullah Al Faruque (University of California, Irvine), Qi Alfred Chen (University…

Read More

OSAVRoute: Advancing Outbound Source Address Validation Deployment Detection with...

Shuai Wang (Zhongguancun Laboratory), Ruifeng Li (Zhongguancun Laboratory), Li Chen (Zhongguancun Laboratory), Dan Li (Tsinghua University), Lancheng Qin (Zhongguancun Laboratory), Qian Cao (Zhongguancun Laboratory)

Read More