11 citations · 32 across the 16 of their papers we have counts for
18 papers
Detecting False Data Injection and Unstable Operation in Smart Grid via System-Aware Graph Boundary Learning
Emad Efatinasab, Denis Donadel, Mirco Rampazzo +1
Cyber-physical power systems increasingly rely on data-driven tools to detect instability and support reliable grid operation. However, reliable stability prediction is difficult w…
Energy-Aware LoRaWAN Design for Long-Lived Agricultural Sensing: Insights from a Multi-Year Deployment and Controlled Platform Comparison
Carl Dickinson, Shishir Nagaraja, Chuadhry Mujeeb Ahmed
Agricultural IoT nodes are often far from mains power and have limited access for maintenance. Therefore, IoT deployments benefit from low-power, long-range communication such as L…
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 Classification and Localization in Evolving Smart Grids
Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze +3
Data-driven fault diagnosis models for smart grids are usually trained once on a fixed dataset, whereas in operation new fault types appear and monitoring is extended to new grid z…
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…
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
Abdul Mustafa, Muhammad Talha Khan, Muhammad Azmi Umer +2
Machine learning (ML)-based intrusion detection systems (IDS) are vulnerable to adversarial attacks. It is crucial for an IDS to learn to recognize adversarial examples before mali…
AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System
Chuadhry Mujeeb Ahmed
Malicious examples are crucial for evaluating the robustness of machine learning algorithms under attack, particularly in Industrial Control Systems (ICS). However, collecting norm…
Time Constant: Actuator Fingerprinting using Transient Response of Device and Process in ICS
Chuadhry Mujeeb Ahmed, Matthew Calder, Sean Gunawan +3
Command injection and replay attacks are key threats in Cyber Physical Systems (CPS). We develop a novel actuator fingerprinting technique named Time Constant. Time Constant captur…
Reconstructing Robot Operations via Radio-Frequency Side-Channel
Ryan Shah, Mujeeb Ahmed, Shishir Nagaraja
Connected teleoperated robotic systems play a key role in ensuring operational workflows are carried out with high levels of accuracy and low margins of error. In recent years, a v…
Can You Still See Me?: Reconstructing Robot Operations Over End-to-End Encrypted Channels
Ryan Shah, Chuadhry Mujeeb Ahmed, Shishir Nagaraja
Connected robots play a key role in Industry 4.0, providing automation and higher efficiency for many industrial workflows. Unfortunately, these robots can leak sensitive informati…
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning
Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Muhammad Taha Jilani +1
Adversarial learning is used to test the robustness of machine learning algorithms under attack and create attacks that deceive the anomaly detection methods in Industrial Control…
Scanning the Cycle: Timing-based Authentication on PLCs
Chuadhry Mujeeb Ahmed, Martin Ochoa, Jianying Zhou +1
Programmable Logic Controllers (PLCs) are a core component of an Industrial Control System (ICS). However, if a PLC is compromised or the commands sent across a network from the PL…
Revisiting Anomaly Detection in ICS: Aimed at Segregation of Attacks and Faults
Chuadhry Mujeeb Ahmed, Jay Prakash, Jianying Zhou
In an Industrial Control System (ICS), its complex network of sensors, actuators and controllers have raised security concerns for critical infrastructures and industrial productio…
Challenges and Opportunities in CPS Security: A Physics-based Perspective
Chuadhry Mujeeb Ahmed, Jianying Zhou
The integration of cyber technologies (computing and communication) with the physical world gives rise to complex systems referred to as Cyber Physical Systems (CPS), for example,…
NoiSense: Detecting Data Integrity Attacks on Sensor Measurements using Hardware based Fingerprints
Chuadhry Mujeeb Ahmed, Aditya Mathur, Martin Ochoa
In recent years fingerprinting of various physical and logical devices has been proposed with the goal of uniquely identifying users or devices of mainstream IT systems such as PCs…