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How Resilient is QUIC to Security and Privacy Attacks?

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arxiv 2401.06657 v3 pith:POSSPF2A submitted 2024-01-12 cs.CR cs.NI

classification cs.CRcs.NI
keywords privacyquicsecurityanalysisanalyzeattacksbuildingdirections
verification ladder T0 review T1 audit T2 compute T3 formal

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QUIC has rapidly evolved into a cornerstone transport protocol for secure, low-latency communications, yet its deployment continues to expose critical security and privacy vulnerabilities, particularly during connection establishment phases and via traffic analysis. This paper systematically revisits a comprehensive set of attacks on QUIC and emerging privacy threats. Building upon these observations, we critically analyze recent IETF mitigation efforts, including TLS Encrypted Client Hello (ECH), Oblivious HTTP (OHTTP) and MASQUE. We analyze how these mechanisms enhance privacy while introducing new operational risks, particularly under adversarial load. Additionally, we discuss emerging challenges posed by post-quantum cryptographic (PQC) handshakes, including handshake expansion and metadata leakage risks. Our analysis highlights ongoing gaps between theoretical defenses and practical deployments, and proposes new research directions focused on adaptive privacy mechanisms. Building on these insights, we propose future directions to ensure long-term security of QUIC and aim to guide its evolution as a robust, privacy-preserving, and resilient transport foundation for the next-generation Internet.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. TurboRetry: Mitigating Large-Scale QUIC Handshake Floods with Off-the-Shelf DPU Offloading

    cs.CR 2026-08 conditional novelty 6.0 of 10

    TurboRetry offloads QUIC Retry token generation/verification to DPU hardware, sustaining 3 Mpps handshake floods and achieving 10–20× higher throughput than host-side QUIC implementations.

  2. A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model

    cs.RO 2025-01 reject novelty 4.0 of 10

    An Informer transformer predicts surgical tool-tip position under simulated packet loss and is reported to exceed 90% accuracy on JIGSAWS knot-tying trials.

  3. QFAM: Mitigating QUIC Handshake Flooding Attacks Through Crypto Challenges

    cs.CR 2024-12 conditional novelty 4.0 of 10

    QFAM modifies the QUIC Retry token to include a cryptographic challenge (proof-of-work) that clients must solve before the server allocates handshake CPU.

  4. Enhanced Position Estimation in Tactile Internet-Enabled Remote Robotic Surgery Using MOESP-Based Kalman Filter

    cs.RO 2025-01 reject novelty 3.0 of 10

    A MOESP-identified state-space model plus Kalman filter is applied to the JIGSAWS dataset, but the reported position estimation accuracy falls below 95 percent under several of the paper's own simulated network scenarios.

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