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Intent-based Security Management Using the TM Forum TR292I Security Ontology

arXiv Security Archived May 28, 2026 ✓ Full text saved

arXiv:2605.27743v1 Announce Type: new Abstract: Modern 5G-Advanced and emerging 6G cloud-native telecom architectures encounter unprecedented hyper-complexity, multi-layered threat vectors, and fluid structural topologies. Managing infrastructure security using manual, imperative configurations introduces a severe latency gap, presenting attackers with an exploitable window. This paper presents a declarative, autonomous, self-protecting framework based on our design and standardization of the TM

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    Computer Science > Cryptography and Security [Submitted on 26 May 2026] Intent-based Security Management Using the TM Forum TR292I Security Ontology Loay Abdelrazek Modern 5G-Advanced and emerging 6G cloud-native telecom architectures encounter unprecedented hyper-complexity, multi-layered threat vectors, and fluid structural topologies. Managing infrastructure security using manual, imperative configurations introduces a severe latency gap, presenting attackers with an exploitable window. This paper presents a declarative, autonomous, self-protecting framework based on our design and standardization of the TM Forum TR292I Security Ontology v4.0.0. Our approach leverages Description Logic (DL) and automated graph reasoning within a closed-loop execution pipeline to dynamically neutralize live threats. Crucially, the system balances functional protection expectations with non-functional resource impact considerations (e.g., latency vs. compute overhead). We validate our model-driven architecture through a structural formal verification walkthrough of a distributed Denial of Service (DDoS) attack mitigation sequence on a disaggregated Next-Generation NodeB (gNB) slice, demonstrating how automated reasoning resolves runtime constraint conflicts without human intervention. Comments: Preprint version, submitted to CNSM 2026 Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2605.27743 [cs.CR]   (or arXiv:2605.27743v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2605.27743 Focus to learn more Submission history From: Loay Abdelrazek [view email] [v1] Tue, 26 May 2026 22:35:01 UTC (12 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-05 Change to browse by: cs 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
    May 28, 2026
    Archived
    May 28, 2026
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