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cs.CR2026

A Large-Scale Benchmark and Risk Assessment of Traffic Analysis Attacks on Cloud LLM Services

Shahrooz Pouryousef, Jesus Lopez, Saeefa Rubaiyat Nowmi +5

Cloud-based Large language model (LLM) services create a network-level traffic side channel that can expose model, prompt, and task behavior despite encryption. From packet sizes,…

cs.CR2026

DoSQ: A Cross-Layer Denial of Service Quality Attack by Exploiting Side Channels in 5G NR

Mahmudul Hassan Ashik, Moinul Hossain

The 3rd Generation Partnership Project (3GPP)'s Fifth Generation New Radio (5G NR) is critical to supporting mission-critical services. However, 5G systems are vulnerable to smart…

cs.CR2026

FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels

Md Nahid Hasan Shuvo, Mahmudul Hassan Ashik, Moinul Hossain

Federated Learning (FL) over 5G cellular networks protects raw data but remains vulnerable to side-channel leakage. Prior fingerprinting attacks assume packet-level network visibil…

cs.CR2026

Analyzing the Impact of Adversarial Attacks on C-V2X-Enabled Road Safety: An Age of Information Perspective

Mahmudul Hassan Ashik, Moinul Hossain

The Cellular Vehicle-to-Everything (C-V2X), introduced and developed by the 3GPP, is a promising technology for the Autonomous Driving System (ADS). C-V2X aims to fulfill the Servi…

cs.CR2025

FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning

Md Nahid Hasan Shuvo, Moinul Hossain, Anik Mallik +2

Federated Learning (FL) enables collaborative model training across distributed devices while safeguarding data and user privacy. However, FL remains susceptible to privacy threats…