Nikolaos Pitropakis
Nikolaos Pitropakis
Associate Professor of Cyber Security at Edinburgh Napier University
Verified email at - Homepage
Cited by
Cited by
A taxonomy and survey of attacks against machine learning
N Pitropakis, E Panaousis, T Giannetsos, E Anastasiadis, G Loukas
Computer Science Review 34, 100199, 2019
Hiding in plain sight: A longitudinal study of combosquatting abuse
P Kintis, N Miramirkhani, C Lever, Y Chen, R Romero-Gómez, ...
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
A privacy-preserving healthcare framework using hyperledger fabric
C Stamatellis, P Papadopoulos, N Pitropakis, S Katsikas, WJ Buchanan
Sensors 20 (22), 6587, 2020
A deep learning-based intrusion detection system for MQTT enabled IoT
MA Khan, MA Khan, SU Jan, J Ahmad, SS Jamal, AA Shah, N Pitropakis, ...
Sensors 21 (21), 7016, 2021
Cloud computing security: foundations and challenges
JR Vacca
CRC press, 2016
HDL-IDS: a hybrid deep learning architecture for intrusion detection in the Internet of Vehicles
S Ullah, MA Khan, J Ahmad, SS Jamal, Z e Huma, MT Hassan, ...
Sensors 22 (4), 1340, 2022
Towards lightweight url-based phishing detection
A Butnaru, A Mylonas, N Pitropakis
Future internet 13 (6), 154, 2021
A comparative analysis of honeypots on different cloud platforms
C Kelly, N Pitropakis, A Mylonas, S McKeown, WJ Buchanan
Sensors 21 (7), 2433, 2021
A new intrusion detection system for the internet of things via deep convolutional neural network and feature engineering
S Ullah, J Ahmad, MA Khan, EH Alkhammash, M Hadjouni, YY Ghadi, ...
Sensors 22 (10), 3607, 2022
Launching adversarial attacks against network intrusion detection systems for iot
P Papadopoulos, O Thornewill von Essen, N Pitropakis, C Chrysoulas, ...
Journal of Cybersecurity and Privacy 1 (2), 252-273, 2021
Privacy and trust redefined in federated machine learning
P Papadopoulos, W Abramson, AJ Hall, N Pitropakis, WJ Buchanan
Machine Learning and Knowledge Extraction 3 (2), 333-356, 2021
An enhanced cyber attack attribution framework
N Pitropakis, E Panaousis, A Giannakoulias, G Kalpakis, RD Rodriguez, ...
Trust, Privacy and Security in Digital Business: 15th International …, 2018
DRaNN_PSO: A deep random neural network with particle swarm optimization for intrusion detection in the industrial internet of things
J Ahmad, SA Shah, S Latif, F Ahmed, Z Zou, N Pitropakis
Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022
Predicting malicious insider threat scenarios using organizational data and a heterogeneous stack-classifier
AJ Hall, N Pitropakis, WJ Buchanan, N Moradpoor
2018 IEEE International Conference on Big Data (Big Data), 5034-5039, 2018
Testing and hardening IOT devices against the Mirai botnet
C Kelly, N Pitropakis, S McKeown, C Lambrinoudakis
2020 international conference on cyber security and protection of digital …, 2020
A distributed trust framework for privacy-preserving machine learning
W Abramson, AJ Hall, P Papadopoulos, N Pitropakis, WJ Buchanan
Trust, Privacy and Security in Digital Business: 17th International …, 2020
Ransomware: Analysing the impact on Windows active directory domain services
G McDonald, P Papadopoulos, N Pitropakis, J Ahmad, WJ Buchanan
Sensors 22 (3), 953, 2022
Monitoring users’ behavior: anti-immigration speech detection on twitter
N Pitropakis, K Kokot, D Gkatzia, R Ludwiniak, A Mylonas, M Kandias
Machine Learning and Knowledge Extraction 2 (3), 11, 2020
Explainable AI-based DDOS attack identification method for IoT networks
CS Kalutharage, X Liu, C Chrysoulas, N Pitropakis, P Papadopoulos
Computers 12 (2), 32, 2023
Phishing url detection through top-level domain analysis: A descriptive approach
O Christou, N Pitropakis, P Papadopoulos, S McKeown, WJ Buchanan
arXiv preprint arXiv:2005.06599, 2020
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