Multi-domain network infrastructure based on P4 programmable devices for Digital Data Marketplaces

Author:

Shakeri SaraORCID,Veen Lourens,Grosso Paola

Abstract

AbstractThere are many organizations interested in sharing data with others, and they can do this only if a multi-domain secure platform is available. Such platforms, often referred to as Digital Data Marketplaces (DDMs), require that all the transactions follow the pre-defined policies that are established by the participating parties i.e, domains. However, building a multi-domain network infrastructure in which each domain can manage its own connectivity while at the same time all of the transactions follow the sharing agreements is still a challenge. In this paper, we introduce a multi-domain containerized DDM that is built upon a P4-based network. It can handle the communication of multiple domains and guarantee that the operation of transactions is based on the pre-defined policies. We also studied the setup performance by defining a model which we demonstrated follows the real measurements, and we can use for decision making. The results also show the low overhead of using P4 switch in network setup time. In addition, we conducted a security evaluation which showed that our P4-based network setup is secure against most types of attacks.

Funder

Netherlands eScience Center

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference35 articles.

1. Kassem, J.A., De Laat, C., Taal, A., Grosso, P.: The epi framework: A dynamic data sharing framework for healthcare use cases. IEEE Access 8, 179909–179920 (2020). https://doi.org/10.1109/ACCESS.2020.3028051

2. Bastiaansen, H., Nieuwenhuis, K., Zomer, G., Piest, J.P.S., van Sinderen, M., Dalmolen, S.: The logistics data sharing infrastructure (2020)

3. AMdEX:THE DATA HYPERMARKET. https://amsterdameconomicboard.com/en/news/research-organisations-and-commercial-parties-start-developing-the-new-amsterdam-data-exchange (2021). [Online; accessed April-2021]

4. Zhang, L., Cushing, R., Gommans, L., De Laat, C., Grosso, P.: Modeling of collaboration archetypes in digital market places. IEEE Access 7, 102689–102700 (2019). https://doi.org/10.1109/ACCESS.2019.2931762

5. priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange. https://distributedlearning.ai/ (2021). [Online; accessed April-2021]

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3