Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion. - Georgios Agrafiotis; Eftychia Makri; Ioannis Flionis; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (ARES, 2022)

Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits. - Eftychia Makri; Georgios Agrafiotis; Ilias Kalamaras; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (DCC, 2022)

A Deep Learning-based Malware Traffic Classifier for 5G Networks Employing Protocol-Agnostic and PCAP-to-Embeddings Techniques. - Georgios Agrafiotis; Eftychia Makri; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras; Nikolaos Tsampieris (EICC, 2023)

Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA. - Georgios Agrafiotis; Eftychia Makri; Ilias Kalamaras; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (NLDL, 2023)

A Protocol Agnostic Polymorphic Network Packet Transformer for 5G Malware Traffic Classification Using Deep Learning Models. - Eftychia Makri; Georgios Agrafiotis; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (EuCNC/6G Summit, 2024)

Experiments with Digital Security Processes over SDN-Based Cloud-Native 5G Core Networks. - Sarantis Kalafatidis; George Agrafiotis; Konstantinos Giapantzis; Antonios Lalas; Konstantinos Votis (ICIN, 2024)

Advancing Cybersecurity with AI: A Multimodal Fusion Approach for Intrusion Detection Systems. - George Agrafiotis; Sarantis Kalafatidis; Konstantinos Giapantzis; Antonios Lalas; Konstantinos Votis (MeditCom, 2024)