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A VPN-as-a-Service Tailored Enabler for Computing-constrained Environments

arXiv Security Archived Jun 11, 2026 ✓ Full text saved

arXiv:2606.11729v1 Announce Type: new Abstract: Industry has embraced Zero Trust (ZT) architectural tenets and implementations for cloud-native environments, following stricter security requirements to both internal and external tenants. Among others, these approaches combine fine-grained identity management and monitoring for both inventorying and better analysing the devices' security posture for overall protection, along with strict separation of concerns and isolation to enforce minimal priv

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    Computer Science > Cryptography and Security [Submitted on 10 Jun 2026] A VPN-as-a-Service Tailored Enabler for Computing-constrained Environments Carolina Fernández-Martínez, César Cajas Parra, Shuaib Siddiqui Industry has embraced Zero Trust (ZT) architectural tenets and implementations for cloud-native environments, following stricter security requirements to both internal and external tenants. Among others, these approaches combine fine-grained identity management and monitoring for both inventorying and better analysing the devices' security posture for overall protection, along with strict separation of concerns and isolation to enforce minimal privilege. Networking-wise, ZT approaches rely as well on isolation and least privilege; enacted by separate, secure tunnels per tenant connecting to a given infrastructure. Such implementations can also be applied to the connectivity within and towards experimental infrastructures. In this sense, this work contributes the design and evaluation of a cloud-native VPN-as-a-Service (VPNaaS) that can be (i) easily orchestrated to deploy on-the-fly, separate tunnels per each tenant remotely connecting to the infrastructure; (ii) integrated with common Identity and Access Management (IAM) tools, key to ZT deployments; and (iii) adapt to computing- or entropy- constrained environments. This solution is customisable and allows, among others, to select from RSA or Elliptic Curves (EC) as key generation algorithm and their parameters to achieve more secure keys and adapt to resource-constrained environments. Comments: Proc. 2025 IEEE 11th International Conference on Network Softwarization (NetSoft), 2025 Subjects: Cryptography and Security (cs.CR); Networking and Internet Architecture (cs.NI) Cite as: arXiv:2606.11729 [cs.CR]   (or arXiv:2606.11729v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2606.11729 Focus to learn more Related DOI: https://doi.org/10.1109/NetSoft64993.2025.11080536 Focus to learn more Submission history From: Carolina Fernández-Martínez [view email] [v1] Wed, 10 Jun 2026 07:08:03 UTC (625 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-06 Change to browse by: cs cs.NI References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    Jun 11, 2026
    Archived
    Jun 11, 2026
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