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.
How Resilient is QUIC to Security and Privacy Attacks?
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abstract
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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cs.RO 1years
2025 1verdicts
REJECT 1roles
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Enhanced Position Estimation in Tactile Internet-Enabled Remote Robotic Surgery Using MOESP-Based Kalman Filter
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.