EDBT 2026 Demo / reviewers in the wild / expert
Joseph D. Preece
dblp:234/2704
· DBLP profile ↗
4ranked-venue papers in the field
4as first author
2since 2021 · last 2022
0000-0002-1854-3578ORCID · reported
Domains — venue-derived; a paper can count in several
Big Data, Cloud & Distributed Data Systems · 4 (4 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Towards STUB 2.0: Using Graph-Based World States in Hyperledger Besu to Facilitate Distributed Transport TicketingabstractThe System for Ticketing Ubiquity with Blockchains (STUB) is a novel solution to multi-modal transport ticketing. Introduced previously using Hyperledger Fabric, STUB utilises the distributed mechanics of blockchain technology right at the core of its architecture, allowing stakeholders from different transport modes to vend and validate tickets on a shared ledger. This open approach to ticketing data will benefit transport governing bodies, transport operators, and passengers alike by ensuring cross-party cooperation and presenting a fresh holistic approach to the ticketing sector. This paper addresses issues from STUB 1.0, concerning validating tickets for a multi-modal transport system. To overcome this, we propose creating a graph structure, known as the Transport Network Graph (TNG), to represent the transport network with all of the services provided by the Transport Service Providers (TSPs). This enables the implementation of an automated Revenue Allocation System (RAS), whilst retaining the benefits provided by blockchain technology. Joseph D. Preece, Christopher Morris 0002, John M. Easton |
IEEE Big Data | 1 |
| 2021 | A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway StationabstractThis paper presents a novel routing system for guiding a pedestrian within a train station, accounting for aspects such as distance, crowd density, and the pedestrian’s accessibility requirements. We achieve this by building a system that takes inspiration from the video games industry; constructing a Three-Dimensional model, annotating the model, generating a graph data structure, and performing pathfinding algorithms to establish the shortest path between two nodes. In particular, we make use of Three-Dimensional scanning technology to build a Digital Twin of Smethwick Galton Bridge station in the United Kingdom. We then use the spatial data to extract Two-Dimensional floor plans and perform Constrained Delauney Triangulation to compute a navigational mesh. The model then constructs the relevant graph data structure, on which we perform the A* Algorithm to determine the most efficient path between two coordinates within the mesh, where the efficiency is based upon both distance and the crowd density within the station. Joseph D. Preece, Mohamed Samra, Richard James Thomas, John M. Easton |
IEEE BigData | 1 |
| 2019 | Blockchain Technology as a Mechanism for Digital Railway TicketingabstractThis paper introduces a novel digital ticketing platform using blockchain technology. Taking in a number of considerations by observing legacy ticketing systems and existing attempts at digital ticketing, we make use of IBM's Hyperledger Fabric framework to design an architecture that distributes the tickets across all participating organisations. We note the potential benefits this platform has. Governing organisations maintain their right to set the rules of the platform and access the data to generate statistics. Vending organisations share access to the same underlying tickets whilst preserving competition. The platform offers passengers a variety of ways to pay for and access their tickets, using a combination of legacy and modern methods. Furthermore, we note the platform has the potential to eradicate paper ticketing and surplus voucher cards. Joseph D. Preece, John M. Easton |
IEEE BigData | 1 |
| 2018 | Towards Encrypting Industrial Data on Public Distributed NetworksabstractThis paper addresses the problem of uploading large quantities of sensitive industrial data to a public distributed network by proposing a new framework. The framework combines the existing technologies of the distributed web and distributed ledger to provide a mechanism of encrypting data and choosing whom to share the data with. The framework is designed to work with existing platforms; the InterPlanetary File System (IPFS) and the Ethereum blockchain platforms are used as examples within this paper, though it is stated that similar platforms are capable of providing the requirements for the framework to operate. The framework uses the concept of the Diffie-Hellman Key Exchange (DHKE), and is implemented in three different mechanisms of the DHKE: one-step Elliptical-Curve Diffie-Hellman Key Exchange (ECDH); two-step ECDH; and Supersingular Isogeny Diffie-Hellman Key Exchange (SIDH). The paper discusses the security of each along with individual advantages and disadvantages, and concludes that the SIDH is the most appropriate implementation for future use due to it being post-quantum secure. Joseph D. Preece, John M. Easton |
IEEE BigData | 1 |