All Outputs (3)

Evaluation of machine learning and deep learning-based intrusion detection systems in in-vehicle networks (2023)
Presentation / Conference Contribution

With the growing complexity and connectivity of Intelligent Connected Vehicles (ICVs), In-vehicle communication plays an important role in today's driving environment. The Controller Area Network (CAN) is the most used protocol in an in-vehicle netwo... Read More about Evaluation of machine learning and deep learning-based intrusion detection systems in in-vehicle networks.

A hybrid methodology to assess cyber resilience of IoT in energy management and connected sites (2023)
Journal Article

Cyber threats and vulnerabilities present an increasing risk to the safe and frictionless execution of business operations. Bad actors ("hackers"), including state actors, are increasingly targeting the operational technologies (OTs) and industrial c... Read More about A hybrid methodology to assess cyber resilience of IoT in energy management and connected sites.

Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms (2022)
Journal Article

Technological achievement and cybercriminal methodology are two parallel growing paths; protocols such as Tor and i2p (designed to offer confidentiality and anonymity) are being utilised to run ransomware companies operating under a Ransomware as a S... Read More about Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms.