Vasileios Kouliaridis

According to our database, Vasileios Kouliaridis authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Intrusion Detection Based on Federated Learning: A Systematic Review.

José Luis Hernández-Ramos, Georgios Karopoulos, Efstratios Chatzoglou, Vasileios Kouliaridis, Enrique Mármol Campos, Aurora González-Vidal, Georgios Kambourakis

ACM Comput. Surv., December, 2025

2024

Assessing the Effectiveness of LLMs in Android Application Vulnerability Analysis.

Vasileios Kouliaridis, Georgios Karopoulos, Georgios Kambourakis

Proceedings of the Attacks and Defenses for the Internet-of-Things, 2024

2023

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study.

Efstratios Chatzoglou, Vasileios Kouliaridis, Georgios Karopoulos, Georgios Kambourakis

Int. J. Inf. Sec., April, 2023

A Closer Look at Machine Learning Effectiveness in Android Malware Detection.

Filippos Giannakas, Vasileios Kouliaridis, Georgios Kambourakis

Inf., January, 2023

Assessing the Security and Privacy of Android Official ID Wallet Apps.

Vasileios Kouliaridis, Georgios Karopoulos, Georgios Kambourakis

Inf., 2023

A hands-on gaze on HTTP/3 security through the lens of HTTP/2 and a public dataset.

Efstratios Chatzoglou, Vasileios Kouliaridis, Georgios Kambourakis, Georgios Karopoulos, Stefanos Gritzalis

Comput. Secur., 2023

2021

A Comprehensive Survey on Machine Learning Techniques for Android Malware Detection.

Vasileios Kouliaridis, Georgios Kambourakis

Inf., 2021

A Multi-Tier Security Analysis of Official Car Management Apps for Android.

Efstratios Chatzoglou, Georgios Kambourakis, Vasileios Kouliaridis

Future Internet, 2021

An extrinsic random-based ensemble approach for android malware detection.

Nektaria Potha, Vasileios Kouliaridis, Georgios Kambourakis

Connect. Sci., 2021

A Survey on Digital Certificates Approaches for the COVID-19 Pandemic.

Georgios Karopoulos, José Luis Hernández-Ramos, Vasileios Kouliaridis, Georgios Kambourakis

IEEE Access, 2021

2020

Two Anatomists Are Better than One - Dual-Level Android Malware Detection.

Vasileios Kouliaridis, Georgios Kambourakis, Dimitris Geneiatakis, Nektaria Potha

Symmetry, 2020

A Survey on Mobile Malware Detection Techniques.

Vasileios Kouliaridis, Konstantia Barmpatsalou, Georgios Kambourakis, Shuhong Chen

IEICE Trans. Inf. Syst., 2020

Feature importance in mobile malware detection.

Vasileios Kouliaridis, Georgios Kambourakis, Tao Peng

CoRR, 2020

Dissecting contact tracing apps in the Android platform.

Vasileios Kouliaridis, Georgios Kambourakis, Dimitrios Geneiatakis

CoRR, 2020

Feature importance in Android malware detection.

Vasileios Kouliaridis, Georgios Kambourakis, Tao Peng

Proceedings of the 19th IEEE International Conference on Trust, 2020

Improving Android Malware Detection Through Dimensionality Reduction Techniques.

Vasileios Kouliaridis, Nektaria Potha, Georgios Kambourakis

Proceedings of the Machine Learning for Networking - Third International Conference, 2020

2018

Mal-Warehouse: A Data Collection-as-a-Service of Mobile Malware Behavioral Patterns.

Vasileios Kouliaridis, Konstantia Barmpatsalou, Georgios Kambourakis, Guojun Wang

Proceedings of the 2018 IEEE SmartWorld, 2018