Nickolaos Koroniotis

Orcid: 0000-0002-8831-632X

According to our database1, Nickolaos Koroniotis authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
An explainable deep learning-enabled intrusion detection framework in IoT networks.
Inf. Sci., August, 2023

The SAir-IIoT Cyber Testbed as a Service: A Novel Cybertwins Architecture in IIoT-Based Smart Airports.
IEEE Trans. Intell. Transp. Syst., February, 2023

Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions.
IEEE Commun. Surv. Tutorials, 2023

Digital Forensics based on Federated Learning in IoT Environment.
Proceedings of the 2023 Australasian Computer Science Week, 2023

2022
A new Intelligent Satellite Deep Learning Network Forensic framework for smart satellite networks.
Comput. Electr. Eng., 2022

2021
A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments.
Proceedings of the 20th IEEE International Conference on Trust, 2021

2020
Designing an effective network forensic framework for the investigation of botnets in the Internet of Things.
PhD thesis, 2020

A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework.
Future Gener. Comput. Syst., 2020

Enhancing network forensics with particle swarm and deep learning: The particle deep framework.
CoRR, 2020

A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports.
IEEE Access, 2020

2019
Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset.
Future Gener. Comput. Syst., 2019

Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions.
IEEE Access, 2019

2017
Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques.
Proceedings of the Mobile Networks and Management - 9th International Conference, 2017


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