160 citations · 237 across the 9 of their papers we have counts for
9 papers
ICS-SimLab: A Containerized Approach for Simulating Industrial Control Systems for Cyber Security Research
Jaxson Brown, Duc-Son Pham, Sie-Teng Soh +3
Industrial Control Systems (ICSs) are complex interconnected systems used to manage process control within industrial environments, such as chemical processing plants and water tre…
SMPC-based Federated Learning for 6G enabled Internet of Medical Things
Aditya Pribadi Kalapaaking, Veronika Stephanie, Ibrahim Khalil +3
Rapidly developing intelligent healthcare systems are underpinned by Sixth Generation (6G) connectivity, ubiquitous Internet of Things (IoT), and Deep Learning (DL) techniques. Thi…
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things
Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammad Saidur Rahman +3
This paper proposes a blockchain-based Federated Learning (FL) framework with Intel Software Guard Extension (SGX)-based Trusted Execution Environment (TEE) to securely aggregate l…
PhishClone: Measuring the Efficacy of Cloning Evasion Attacks
Arthur Wong, Alsharif Abuadbba, Mahathir Almashor +1
Web-based phishing accounts for over 90% of data breaches, and most web-browsers and security vendors rely on machine-learning (ML) models as mitigation. Despite this, links posted…
Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns
Mahathir Almashor, Ejaz Ahmed, Benjamin Pick +6
The daily deluge of alerts is a sombre reality for Security Operations Centre (SOC) personnel worldwide. They are at the forefront of an organisation's cybersecurity infrastructure…
Towards Web Phishing Detection Limitations and Mitigation
Alsharif Abuadbba, Shuo Wang, Mahathir Almashor +4
Web phishing remains a serious cyber threat responsible for most data breaches. Machine Learning (ML)-based anti-phishing detectors are seen as an effective countermeasure, and are…
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches
Reena Zelenkova, Jack Swallow, M. A. P. Chamikara +5
Biometric data, such as face images, are often associated with sensitive information (e.g medical, financial, personal government records). Hence, a data breach in a system storing…
Characterizing Malicious URL Campaigns
Mahathir Almashor, Ejaz Ahmed, Benjamin Pick +4
URLs are central to a myriad of cyber-security threats, from phishing to the distribution of malware. Their inherent ease of use and familiarity is continuously abused by attackers…
Evaluation of Federated Learning in Phishing Email Detection
Chandra Thapa, Jun Wen Tang, Alsharif Abuadbba +5
The use of Artificial Intelligence (AI) to detect phishing emails is primarily dependent on large-scale centralized datasets, which opens it up to a myriad of privacy, trust, and l…