QSOCKS: 0-RTT Proxification Design of SOCKS Protocol for QUIC

Kanagarathinam, Madhan Raj; Singh, Sukhdeep; Jayaseelan, Sujith Rengan; Maheshwari, Mukesh Kumar; Choudhary, Gunjan Kumar; Sinha, Gaurav

doi:10.1109/access.2020.3013524

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…The authors of [19] implemented an MP-QUIC proxy using the SOCKS protocol and evaluated the performance compared to an MPTCP proxy in live networks. Regarding web page load times, the solution (called QSOCKS) outperformed the MPTCP proxy by 42% on the top 1000 websites.…”

Section: Application Of Multipath Transport Solutions For Cellular Ne...mentioning

confidence: 99%

On the Potential of MP-QUIC as Transport Layer Aggregator for Multiple Cellular Networks

et al. 2022

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Multipath transport protocols have the ability to simultaneously utilize the different paths and thus outperform single-path solutions in terms of achievable goodput, latency, or reliability. In this paper our goal is to examine the potential of connecting a mobile terminal to multiple mobile networks simultaneously in a dynamically changing environment. To achieve this, first we analyze a dataset obtained from an LTE drive test involving two operators. Then we study the performance of MP-QUIC, the multipath extension of QUIC, in a dynamic emulated environment generated from the collected traces. Our results show that MP-QUIC may leverage multiple available channels to provide uninterrupted connectivity, and a better overall goodput even when compared to using only the best available channel for communication. We also compare the MP-QUIC performance with MPTCP, identify challenges with the current protocol implementations to fill in the available aggregate capacity, and give insights on how the achievable throughput could be increased.

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Section: Application Of Multipath Transport Solutions For Cellular Ne...mentioning

confidence: 99%

On the Potential of MP-QUIC as Transport Layer Aggregator for Multiple Cellular Networks

et al. 2022

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“…In [27], the authors propose a novel proxy-based design for QUIC, called QSOCKS, that can enhance the capabilities of QUIC. QSOCKS improves the 0-RTT/1-RTT connection time, enhances the handshake mechanism and transmission security.…”

Section: Related Workmentioning

confidence: 99%

Formal Analysis of QUIC Handshake Protocol Using Symbolic Model Checking

et al. 2021

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This work presents a security analysis of the QUIC handshake protocol based on symbolic model checking. As a newly proposed secure transport protocol, the purpose of QUIC is to improve the transport performance of HTTPS traffic and enable rapid deployment and evolution of transport mechanisms. QUIC is currently in the IETF standardization process and will potentially carry a significant portion of Internet traffic in the emerging future. For a better understanding of the essential security properties, we have developed a formal model of the QUIC handshake protocol and perform a comprehensive formal security analysis by using two state-of-the-art model checking tools for cryptographic protocols, i.e., ProVeirf and Verifpal. Our analysis shows that ProVerif is generally more powerful than Verifpal in terms of verifying authentication properties. Moreover, both tools produce a counterexample to some security properties, which reveal a design flaw in the current protocol specification. Last but not least, we analyze the root causes of this counterexample and suggest a possible fix.

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“…Several improved QUIC protocols for video transmission have also been investigated. For example, in [20], the authors proposed a novel design for the socket secure (SOCKS) protocol over QUIC (QSOCKS), which improved the browsing experience while enhancing reliability. In [21], the authors presented a security analysis of the QUIC handshake protocol based on symbolic model checking.…”

Section: Related Workmentioning

confidence: 99%

A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach

Wang

2021

Mobile Information Systems

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COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college students, the pandemic means giving up most of the on-campus experience in the postpandemic era and performing online learning instead. Virtual lessons may become a permanent part of college education. Large-scale online learning typically utilizes interactive live video streaming. In this study, we analyzed a codec and video streaming transmission protocol using artificial intelligence. First, we studied an intraframe prediction optimization algorithm for the H.266 codec based on long short-term memory networks. In terms of video streaming transmission protocols, real-time communication optimization based on Quick UDP Internet connections and Luby Transform codes is proposed to improve the quality of interactive live video streaming. Experimental results demonstrate that the proposed strategy outperforms three benchmarks in terms of video streaming quality, video streaming latency, and average throughput.

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QSOCKS: 0-RTT Proxification Design of SOCKS Protocol for QUIC

Cited by 8 publications

References 20 publications

On the Potential of MP-QUIC as Transport Layer Aggregator for Multiple Cellular Networks

On the Potential of MP-QUIC as Transport Layer Aggregator for Multiple Cellular Networks

Formal Analysis of QUIC Handshake Protocol Using Symbolic Model Checking

A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach

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