Pubblicazioni

Autori: Simone Andriani, Stefano Galantucci, Andrea Iannacone, Antonio Maci, Giuseppe Pirlo

Rivista: Computers & Security

CNN-AutoMIC: Combining convolutional neural network and autoencoder to learn non-linear features for knn-based malware image classification

Autori: Pierpaolo Artioli, Vincenzo Dentamaro, Stefano Galantucci, Alessio Magrì, Gianluca Pellegrini, Gianfranco Semeraro

Rivista: Networks Volume 266

SIEVE: Generating a cybersecurity log dataset collection for SIEM event classification

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Autori: Piero Delvecchio, Stefano Galantucci, Andrea Iannacone & Giuseppe Pirlo

Rivista: International Journal of Information SecurityVolume 24, article number 98, 2025

CARIOCA: prioritizing the use of IoC by threats assessment shared on the MISP platform

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Autori: Antonio Coscia, Roberto Lorusso, Antonio Maci, Giuseppe Urbano

Rivista: Computers & Security

APIARY: an API-based Automatic Rule generator for Yara to enhance malware detection

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Autori: Roberto Lorusso, Antonio Maci e Antonio Coscia

Rivista: Proceedings of the 17th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART

GOLLUM: Guiding cOnfiguration of firewaLL Through aUgmented Large Language Models

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Autori: Stefano Galantucci, Andrea Iannacone, Giuseppe Pirlo, Lucia Sarcinella, Alessandro Stamerra

Rivista: 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC)

MAGICIAN: Malware classification Approach through Generation Image using a Conditional and wassersteIn generative Adversarial Network variants

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Autori: FROG: a Firewall Rule Order Generator for faster packet filtering

Rivista: Springer – Communications in Computer and Information Science

FROG: a Firewall Rule Order Generator for faster packet filtering

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Autori: Tony Delvecchio e Giancarlo De Bernardis, Sander Zeijlemaker e Michael Siegel

Rivista: Springer – Communications in Computer and Information Science

BV TECH + MIT: Employing Board Cyber-Risk Management Collaborative Game Under Condition Of Uncertainty

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Autori: Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

Rivista: IEEE Access

PROGESI: a PROxy Grammar to Enhance web application firewall for SQL Injection prevention

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Autori: Antonio Coscia, Andrea Iannacone, Antonio Maci, Alessandro Stamerra

Rivista: Volume 15, Issue 8

SINNER: A Reward-Sensitive Algorithm for Imbalanced Malware Classification Using Neural Networks with Experience Replay

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Autori: Pierpaolo Artioli, Antonio Maci, Alessio Magrì

Rivista: Big Data, 09 May 2024 Sec. Cybersecurity and Privacy Volume 7 – 2024

A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics

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Autori: Pierpaolo Artioli, Alessio Magrì & Pietro Spalluto

Account Hijacking Detection with KATANA, a K-means Approach for Targeted user behavior ANAlysis

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Autori: Antonio Maci; Giuseppe Urbano, Antonio Coscia

Rivista: Proceedings of the 10th International Conference on Information Systems Security and Privacy ICISSP – Volume 1

Deep Q-Networks for Imbalanced Multi-Class Malware Classification

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Autori: Tony Delvecchio, Sander Zeijlemaker, Giancarlo De Bernardis, Michael Siegel

Rivista: Proceedings of the 10th International Conference on Information Systems Security and Privacy ICISSP – Volume 1

Revolutionizing Board Cyber-Risk Management Using Collaborative Gaming

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Autori: Antonio Maci, Nicola Tamma, Antonio Coscia

Rivista: 2024 IEEE 3rd International Conference on AI in Cybersecurity (ICAIC)

Deep Reinforcement Learning-based Malicious URL Detection with Feature Selection

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Autori: Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

Rivista: Journal of Information Security and Applications

Automatic decision tree based NIDPS ruleset generation for DoS/DDoS attacks

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Autori: Alessandro Santorsola, Antonio Maci, Piero Delvecchio, Antonio Coscia

Rivista: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

A Reinforcement-Learning-based Agent to discover Safety-Critical States in Smart Grid Environments

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Autori: Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

Rivista: Computers & Security

An innovative two-stage algorithm to optimize Firewall rule ordering

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Autori: Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

Rivista: IEEE Transactions on Information Forensics and Security

YAMME: a YAra-byte-signatures Metamorphic Mutation Engine

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Autori: Antonio Maci, Alessandro Santorsola, Antonio Coscia, Andrea Iannacone

Rivista: Computers, Volume 12, Issue 6

Unbalanced Web Phishing Classification through Deep Reinforcement Learning

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Autori: Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Donato Impedovo, Antonio Maci

Rivista: CEUR-WS.org/Paper 17

A novel genetic algorithm approach for firewall policy optimization

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Autori: Angelo Cannarile, Francesco Carrera, Stefano Galantucci, Andrea Iannacone, Giuseppe Pirlo

Rivista: CEUR-WS.org/Paper 9

A study on malware detection and classification using the analysis of API calls sequences through shallow learning and recurrent neural networks

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Autori: Alessandro Santorsola, Aldo Migliau, Sabino Caporusso

Rivista: CEUR-WS.org/Paper 1

Reinforcement Learning Agents for Simulating Normal and Malicious Actions in Cyber Range Scenarios

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Autori: Sander Zeijlemaker, Michael Siegel, Daniel Goldsmith, Shaharyar Khan

Rivista: World Economic Forum

How to align cyber risk management with business needs

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Autori: Angelo Cannarile,Vincenzo Dentamaro,Stefano Galantucci, Andrea Iannacone,Donato Impedovo, Giuseppe Pirlo

Rivista: Appl. Sci., Volume 12, Issue 3

Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study

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Autori:Francesco Carrera,Vincenzo Dentamaro,Stefano Galantucci, Andrea Iannacone,Donato Impedovo, Giuseppe Pirlo

Rivista:Appl. Sci., Volume 12, Issue 3

Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection

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Autori: Shaharyar Khan, Alberto Volpatto, Geet Kalra, Jonathan Esteban, Tommaso Pescanoce, Sabino Caporusso, Michael Siegel

Rivista: CEUR-WS.org/Paper 21

Cyber Range for Industrial Control Systems (CR‐ICS) for Simulating Attack Scenarios

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Pubblicazioni

CNN-AutoMIC: Combining convolutional neural network and autoencoder to learn non-linear features for knn-based malware image classification

SIEVE: Generating a cybersecurity log dataset collection for SIEM event classification

CARIOCA: prioritizing the use of IoC by threats assessment shared on the MISP platform

APIARY: an API-based Automatic Rule generator for Yara to enhance malware detection

GOLLUM: Guiding cOnfiguration of firewaLL Through aUgmented Large Language Models

MAGICIAN: Malware classification Approach through Generation Image using a Conditional and wassersteIn generative Adversarial Network variants

FROG: a Firewall Rule Order Generator for faster packet filtering

BV TECH + MIT: Employing Board Cyber-Risk Management Collaborative Game Under Condition Of Uncertainty

PROGESI: a PROxy Grammar to Enhance web application firewall for SQL Injection prevention

SINNER: A Reward-Sensitive Algorithm for Imbalanced Malware Classification Using Neural Networks with Experience Replay

A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics

Account Hijacking Detection with KATANA, a K-means Approach for Targeted user behavior ANAlysis

Deep Q-Networks for Imbalanced Multi-Class Malware Classification

Revolutionizing Board Cyber-Risk Management Using Collaborative Gaming

Deep Reinforcement Learning-based Malicious URL Detection with Feature Selection

Automatic decision tree based NIDPS ruleset generation for DoS/DDoS attacks

A Reinforcement-Learning-based Agent to discover Safety-Critical States in Smart Grid Environments

An innovative two-stage algorithm to optimize Firewall rule ordering

YAMME: a YAra-byte-signatures Metamorphic Mutation Engine

Unbalanced Web Phishing Classification through Deep Reinforcement Learning

A novel genetic algorithm approach for firewall policy optimization

A study on malware detection and classification using the analysis of API calls sequences through shallow learning and recurrent neural networks

Reinforcement Learning Agents for Simulating Normal and Malicious Actions in Cyber Range Scenarios

How to align cyber risk management with business needs

Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study

Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection

Cyber Range for Industrial Control Systems (CR‐ICS) for Simulating Attack Scenarios

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