Sana Habib (Arizona State University, Tempe, United States, Washington and Lee University, Lexington, United States)

Unlike traditional IP and IP-based SDN networks, DNS in 5G and emerging 6G networks functions as a control-plane dependency, supporting telephony service discovery, SIP/IMS signaling (e.g., ENUM E.164 number mapping as a DNS application), and cross-slice traffic steering. Despite cloud-native, virtualized, and sliced architectures, DNS continues to rely on largely unchanged protocols and operational practices, leaving legacy vulnerabilities exposed. In this paper, we systematically analyze 84 documented DNS threats through an architecture-aware framework that evaluates their impact across six dimensions: service disruption, privacy leakage, amplification risk, traffic steering, slice impact, and misconfiguration risk. Our analysis highlights mobile-specific factors—including shared core functions, cross-slice resolvers, and DNS-mediated telephony control—that amplify the effects of protocol downgrades, incomplete DNSSEC deployment, and resolver sharing. In combination, these factors allow localized DNS failures to propagate across services, privacy boundaries, traffic steering, and slice isolation. We present a taxonomy that captures how DNS vulnerabilities manifest in next-generation mobile networks and map a subset of representative high-impact threats to architectural enforcement points, providing guidance for measurement, mitigation, and more robust 5G/6G design.

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Achieving Interpretable DL-based Web Attack Detection through Malicious Payload...

Peiyang Li (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University and Ant Group), Fukun Mei (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University), Ye Wang (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University), Zhuotao Liu (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University),…

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Not What It Used To Be: Generational Analysis of...

Janos Szurdi (Palo Alto Networks), Reethika Ramesh (Palo Alto Networks), Ram Sundara Raman (University of California Santa Cruz), Daiping Liu (Palo Alto Networks)

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Memory Backdoor Attacks on Neural Networks

Eden Luzon (Ben-Gurion University, Institute of Software Systems and Security), Guy Amit (Ben-Gurion University, Institute of Software Systems and Security), Roy Weiss (Ben-Gurion University, Institute of Software Systems and Security), Torsten Krauß (University of Würzburg), Alexandra Dmitrienko (University of Würzburg), Yisroel Mirsky (Ben-Gurion University, Institute of Software Systems and Security)

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