Predictive Algorithms for Symmetric NAT Traversal Using Port Allocation Functions

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Abstract Network Address Translators (NAT) introduce significant challenges for peer-to-peer (P2P) communication services, such as Voice-over-IP (VoIP), by necessitating the use of central relay servers. This paper addresses the problem of traversing symmetric NATs, which are particularly problematic due to their complex port allocation rules. We propose several novel algorithms that exploit predictable port allocation functions to establish direct connections between hosts behind symmetric NATs. Our approach models the network environment as a stochastic process and evaluates the proposed algorithms under various network conditions. Simulation results demonstrate that our algorithms achieve high success rates, especially in low-workload networks, while minimizing system resource requirements. The theoretical insights gained from this work contribute to more efficient NAT traversal techniques, improving communication performance in security-sensitive P2P applications. Network Address Translators (NAT) introduce significant challenges for peer-to-peer (P2P) communication services, such as Voice-over-IP (VoIP), by necessitating the use of central relay servers. This paper addresses the problem of traversing symmetric NATs, which are particularly problematic due to their complex port allocation rules. We propose several novel algorithms that exploit predictable port allocation functions to establish direct connections between hosts behind symmetric NATs. Our approach models the network environment as a stochastic process and evaluates the proposed algorithms under various network conditions. Simulation results demonstrate that our algorithms achieve high success rates, especially in low-workload networks, while minimizing system resource requirements. The theoretical insights gained from this work contribute to more efficient NAT traversal techniques, improving communication performance in security-sensitive P2P applications.
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Predictive Algorithms for Symmetric NAT Traversal Using Port Allocation Functions | 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 Predictive Algorithms for Symmetric NAT Traversal Using Port Allocation Functions Amit Kumar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6128432/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Network Address Translators (NAT) introduce significant challenges for peer-to-peer (P2P) communication services, such as Voice-over-IP (VoIP), by necessitating the use of central relay servers. This paper addresses the problem of traversing symmetric NATs, which are particularly problematic due to their complex port allocation rules. We propose several novel algorithms that exploit predictable port allocation functions to establish direct connections between hosts behind symmetric NATs. Our approach models the network environment as a stochastic process and evaluates the proposed algorithms under various network conditions. Simulation results demonstrate that our algorithms achieve high success rates, especially in low-workload networks, while minimizing system resource requirements. The theoretical insights gained from this work contribute to more efficient NAT traversal techniques, improving communication performance in security-sensitive P2P applications. Network Address Translators (NAT) introduce significant challenges for peer-to-peer (P2P) communication services, such as Voice-over-IP (VoIP), by necessitating the use of central relay servers. This paper addresses the problem of traversing symmetric NATs, which are particularly problematic due to their complex port allocation rules. We propose several novel algorithms that exploit predictable port allocation functions to establish direct connections between hosts behind symmetric NATs. Our approach models the network environment as a stochastic process and evaluates the proposed algorithms under various network conditions. Simulation results demonstrate that our algorithms achieve high success rates, especially in low-workload networks, while minimizing system resource requirements. The theoretical insights gained from this work contribute to more efficient NAT traversal techniques, improving communication performance in security-sensitive P2P applications. Theoretical Computer Science Symmetric NAT Communications NAT VoIP P2P Traveral techniques Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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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