A Novel Genetic Algorithm Approach for Firewall Policy Optimization. - Antonio Coscia; Vincenzo Dentamaro; Stefano Galantucci; Donato Impedovo; Antonio Maci (ITASEC, 2022)

YAMME: a YAra-byte-signatures Metamorphic Mutation Engine. - Antonio Coscia; Vincenzo Dentamaro; Stefano Galantucci; Antonio Maci; Giuseppe Pirlo (IEEE Trans. Inf. Forensics Secur., 2023)

Unbalanced Web Phishing Classification through Deep Reinforcement Learning. - Antonio Maci; Alessandro Santorsola; Antonio Coscia; Andrea Iannacone (Comput., 2023)

An innovative two-stage algorithm to optimize Firewall rule ordering. - Antonio Coscia; Vincenzo Dentamaro; Stefano Galantucci; Antonio Maci; Giuseppe Pirlo (Comput. Secur., 2023)

Deep Reinforcement Learning-based Malicious URL Detection with Feature Selection. - Antonio Maci; Nicola Tamma; Antonio Coscia (ICAIC, 2024)

Deep Q-Networks for Imbalanced Multi-Class Malware Classification. - Antonio Maci; Giuseppe Urbano; Antonio Coscia (ICISSP, 2024)

PROGESI: A PROxy Grammar to Enhance Web Application Firewall for SQL Injection Prevention. - Antonio Coscia; Vincenzo Dentamaro; Stefano Galantucci; Antonio Maci; Giuseppe Pirlo (IEEE Access, 2024)

A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics. - Pierpaolo Artioli; Antonio Maci; Alessio Magrì (Frontiers Big Data, 2024)

Automatic decision tree-based NIDPS ruleset generation for DoS/DDoS attacks. - Antonio Coscia; Vincenzo Dentamaro; Stefano Galantucci; Antonio Maci; Giuseppe Pirlo (J. Inf. Secur. Appl., 2024)

SINNER: A Reward-Sensitive Algorithm for Imbalanced Malware Classification Using Neural Networks with Experience Replay. - Antonio Coscia; Andrea Iannacone; Antonio Maci; Alessandro Stamerra (Inf., 2024)

GOLLUM: Guiding cOnfiguration of firewaLL Through aUgmented Large Language Models. - Roberto Lorusso; Antonio Maci; Antonio Coscia (ICAART (1), 2025)

FROG: A Firewall Rule Order Generator for faster packet filtering. - Antonio Coscia; Antonio Maci; Nicola Tamma (Comput. Networks, 2025)

CNN-AutoMIC: Combining convolutional neural network and autoencoder to learn non-linear features for KNN-based malware image classification. - Simone Andriani; Stefano Galantucci; Andrea Iannacone; Antonio Maci; Giuseppe Pirlo (Comput. Secur., 2025)

APIARY: An API-based automatic rule generator for yara to enhance malware detection. - Antonio Coscia; Roberto Lorusso; Antonio Maci; Giuseppe Urbano (Comput. Secur., 2025)