CORTEXA
← Browse
arxivcs.NIcs.CR2026-07-03

A Binary and System Integrated Analysis Approach for Securing the QUIC Protocol

Maitha Alshaali, Wanqing Tu, Gaofei Huang, Mthandazo Ndhlovu

The Quick UDP Internet Connections (QUIC) protocol is increasingly used to provide secure transport for Internet of Things (IoT) firmware and applications. Existing security analyses of QUIC focus on the captured network traffic, while binary-level analyses of QUIC implementations remain unexplored, leaving open the question of whether a defence specified by the QUIC standard is both present in the compiled binary and active when the server is under attack. This paper evaluates the Binary and System Integrated Security Analysis (BSISA) approach, in which a binary-level analysis of the compiled QUIC server is combined with a system-level analysis of the captured network traffic, on four production QUIC server implementations under six attack scenarios. Across 24 cells, the combined classifier configuration is the only configuration that correctly classifies at least one cell on every attack scenario, achieving 45.8% overall accuracy compared with 37.5% for the binary-level configuration and 25.0% for the system-level configuration. BSISA also identifies the specific defence function in the compiled binary that absorbed each attack, and flags declared-but-silent defences, routines that are present in the compiled binary (Retry-token validation in three of four stacks, anti-amplification in quiche) but never execute during attack, a class of finding that network capture alone cannot produce. In terms of efficiency, picoquic loses legitimate-client availability under slowloris and connection- ID exhaustion with failure rates of 72.4% and 73.3% respectively, while the other three implementations hold the failure rate at or below 0.5%. We hope these insights will be informative for QUIC security evaluations in IoT firmware deployments.

View free PDFSource page

Related papers

arxivcs.CRcs.NI2026-07-14

Designing a GDPR-Compliant Security Architecture for Remote Elderly Care Systems: A Privacy-by-Design Approach

Md. Rahid Parvez, Mikael Soini

IoMT-based remote elderly care systems generate continuous streams of sensitive health data, yet existing security architectures have not simultaneously addressed three interdependent challenges: GDPR-compliant edge-layer pseudonymisation, elderly-specific zero-interaction usabil…

View free PDFSource page
arxivcs.CRcs.DCcs.LGcs.NI2026-07-09

Securing Autonomous Vehicle Systems via Twin-Aware Federated Reinforcement Learning

Zifan Zhang, Minghong Fang, Dianwei Chen, Zhuqing Liu, Prashant Khanduri, Xianfeng Yang, et al.

Federated reinforcement learning (FRL) is crucial for enabling collaborative learning across multiple agents without sharing raw data, thereby enhancing privacy and scalability in the decision-making process within dynamic vehicular environments. However, poisoning attacks pose a…

View free PDFSource page
arxivcs.ITcs.CRcs.GTcs.LGcs.NI2026-07-07

6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection

Parmida Geranmayeh, Onur Günlü

In next-generation networks, communication systems will no longer be limited to data transmission and will be expected to acquire awareness of the surrounding environment. This leads to the concept of integrated sensing and communication (ISAC), where the same wireless infrastruc…

View free PDFSource page
arxivcs.CRcs.NI2026-07-11

Federated Cybersecurity Testbed as a Service (FCTaaS): A framework to federate cybersecurity testbeds

Josh Dean, Yu-Zheng Lin, John Paul Martin Encinas, Ibrahim Almazyad, Qinxuan Shi, Zhanglong Yang, et al.

Rapid technological change is reshaping society through emerging domains such as autonomous vehicles and smart manufacturing, creating new research challenges in system design, operation, security, and training. Researchers often rely on testbeds to reproduce experimental scenari…

View free PDFSource page
arxivcs.NIcs.CRcs.ITcs.LGeess.SP2026-06-30

Semantic Leakage and Privacy Preservation in Relay-Assisted Semantic Communications

Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus

Semantic communication (SemCom) has emerged as a promising paradigm in which the transmission of task-relevant information is prioritized over raw data, enabling efficient and robust communication under resource and channel constraints. In this paper, the privacy implications of…

View free PDFSource page