AUSPO: Research on Non-Intrusive Microservice Policy Generation Technology

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Abstract Microservices have achieved broad industrial development because they offer advantages in maintaining software systems. To prevent attackers from reaching resources hosted by other microservices through lateral movement, authorization policies are required to restrict unauthorized access across services. Existing policy generation approaches depend on manual policy configuration, document analysis, historical log analysis, and static code analysis. However, these approaches impose substantial policy maintenance costs, require the availability of supporting documents and logs, and may cause path explosion problems. To address these challenges, this study proposed Adaptive Unified Security Policy Orchestration (AUSPO). It consisted of three core technologies: (1) A microservice communication data collection method built on eBPF-based monitoring(MseBPF) to capture dependency data among microservices to infer inter-service invocation logic; (2) A policy generation algorithm based on DBSCAN clustering(DBPO), which can translate the conversion of communication data into actual policies and generate access control policies between services (3) An cremental policy update mechanism based on the Pod lifecycle (PodUp), which performs policy analysis exclusively on Pods involved in microservice iteration, providing an efficient approach for subsequent policy updates. We deploy AUSPO in the publicly available Bookinfo and Sockshop microservice environments. Experimental results show that the proposed method can generate fine-grained access control rules to block all unauthorized malicious requests. Additionally, it introduces an average processing latency overhead of no more than 3% for microservices, and completes policy updates with an analysis time of no more than 29% of that consumed in initial policy generation.
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AUSPO: Research on Non-Intrusive Microservice Policy Generation Technology | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article AUSPO: Research on Non-Intrusive Microservice Policy Generation Technology Zhangwen Li, Xuehui Du, Aodi Liu, Chunhui Fu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9551302/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Microservices have achieved broad industrial development because they offer advantages in maintaining software systems. To prevent attackers from reaching resources hosted by other microservices through lateral movement, authorization policies are required to restrict unauthorized access across services. Existing policy generation approaches depend on manual policy configuration, document analysis, historical log analysis, and static code analysis. However, these approaches impose substantial policy maintenance costs, require the availability of supporting documents and logs, and may cause path explosion problems. To address these challenges, this study proposed Adaptive Unified Security Policy Orchestration (AUSPO). It consisted of three core technologies: (1) A microservice communication data collection method built on eBPF-based monitoring(MseBPF) to capture dependency data among microservices to infer inter-service invocation logic; (2) A policy generation algorithm based on DBSCAN clustering(DBPO), which can translate the conversion of communication data into actual policies and generate access control policies between services (3) An cremental policy update mechanism based on the Pod lifecycle (PodUp), which performs policy analysis exclusively on Pods involved in microservice iteration, providing an efficient approach for subsequent policy updates. We deploy AUSPO in the publicly available Bookinfo and Sockshop microservice environments. Experimental results show that the proposed method can generate fine-grained access control rules to block all unauthorized malicious requests. Additionally, it introduces an average processing latency overhead of no more than 3% for microservices, and completes policy updates with an analysis time of no more than 29% of that consumed in initial policy generation. Microservices Access Control Policy eBPF DBSCAN clustering Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 29 Apr, 2026 Editor assigned by journal 29 Apr, 2026 Submission checks completed at journal 29 Apr, 2026 First submitted to journal 28 Apr, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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