8 papers
Chained Attacks on Drone-Based Federated Learning: From Network Disruption to Device Impersonation
Suleiman Muhammad Sabo, Hamed Alkharsh, Peilin Li +4
Edge Intelligence (EI) has emerged as a transformative model for mission-critical unmanned platforms, such as drone swarms, by enabling collaborative model training at the network…
Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction
Wenjie Ding, Yi Sin Lin, Jiale Liu +8
Federated split learning (FSL) enables collaborative training across bandwidth-constrained IoT devices, but repeated activation and gradient exchange creates a communication bot-tl…
LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
Muhammad Usman Shahid, Chuadhry Mujeeb Ahmed, Rajiv Ranjan
The security of code generated by large language models (LLMs) is a significant concern, as studies indicate that such code often contains vulnerabilities and lacks essential defen…
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze +3
As smart grids evolve to meet growing energy demands and modern operational challenges, the ability to accurately predict faults becomes increasingly critical. However, existing AI…
WaveVerif: Acoustic Side-Channel based Verification of Robotic Workflows
Zeynep Yasemin Erdogan, Shishir Nagaraja, Chuadhry Mujeeb Ahmed +1
In this paper, we present a framework that uses acoustic side-channel analysis (ASCA) to monitor and verify whether a robot correctly executes its intended commands. We develop and…
Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems
Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Aditya Mathur +1
This work focuses on validation of attack pattern mining in the context of Industrial Control System (ICS) security. A comprehensive security assessment of an ICS requires generati…