Paper Accepted @IEEE TPS 2023

The paper titled Enabling Collaborative Multi-Domain Applications: A Blockchain-Based Solution with Petri Net Workflow Modeling and Incentivization by Zhou, X., Cushing, R., Koning, R., Belloum, A., Grosso, P., Klous, S., van Engers, T. & de Laat, C. was accepted at The Fifth IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications.

Abstract:

The increasing value of data and the emergence of programmable infrastructures have paved the way for collaborative multi-domain applications across industries such as healthcare and airlines. However, such collaborations come with significant challenges, including application coordination, incentivization, and validation of execution. In this paper, we propose a novel solution that leverages blockchain technology and utilizes Petri nets for workflow modeling. Our approach involves implementing a smart contract-based workflow coordinator on the blockchain and employing a three-layered architecture to coordinate off-chain tasks. Additionally, we demonstrate the use of Petri nets for modeling economy tokens, which serve as incentives to foster collaboration among workflow parties. To validate our solution, we present a proof of concept through a simulated use case involving a multi-domain workflow for mitigating a DDoS attack. In this use case, domains collaborate by blocking offending IPs, incentivized by acquired tokens required to invoke workflows.

Xin Zhou
Xin Zhou
PhD Candidate
Cees de Laat
Cees de Laat
Full Professor
Tom van Engers
Tom van Engers
Full Professor (FDR)

I conduct research on AI & Law, with a particular focus on normative reasoning. Having a track record in AI & Law research going back to 1983, I have worked both on knowledge-driven as well as data-driven AI approaches.

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