10 citations · 14 across the 3 of their papers we have counts for
4 papers
A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments
Nickolaos Koroniotis, Nour Moustafa, Benjamin Turnbull +3
The Internet of Things (IoT) paradigm has displayed tremendous growth in recent years, resulting in innovations like Industry 4.0 and smart environments that provide improvements t…
Enhancing network forensics with particle swarm and deep learning: The particle deep framework
Nickolaos Koroniotis, Nour Moustafa
The popularity of IoT smart things is rising, due to the automation they provide and its effects on productivity. However, it has been proven that IoT devices are vulnerable to bot…
Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset
Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova +1
The proliferation of IoT systems, has seen them targeted by malicious third parties. To address this, realistic protection and investigation countermeasures need to be developed. S…
Towards Developing Network forensic mechanism for Botnet Activities in the IoT based on Machine Learning Techniques
Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova +1
The IoT is a network of interconnected everyday objects called things that have been augmented with a small measure of computing capabilities. Lately, the IoT has been affected by…