DAMOCLES 2024

Table of Contents

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• Mitigating Human Errors and Cognitive Bias for Human-AI Synergy in Cybersecurity 1-8 PDF
  Federico Cau, Lucio Davide Spano
• Enhancing Threat Model Validation: A White-Box Approach based on Statistical Model Checking and Process Mining 9-20 PDF
  Andrea Vandin, Alberto Lluch-Lafuente, Francesca Chiaromonte, Andrea Burratin, Roberto Casaluce
• The Hidden Potential of an Incident. Designing for Cybersecurity Incident Reporting 21-36 PDF
  Alessia Ciccone, Alessandro Pollini
• Unlocking the Potential of Simulated Phishing Campaigns: Measuring the Impact of Interaction among Different Human Factors 37-52 PDF
  Francesco Greco, Rosa Lanzilotti, Paolo Buono, Domenico Desiato, Grazia Ragone, Giuseppe Desolda
• Classification benchmarking of fake account datasets using machine learning models and feature selection strategies 53-65 PDF
  Danilo Caivano, Domenico Desiato, Mary Cerullo, Giuseppe Polese
• Towards Enhanced Human Mitigation of Vishing Attacks: Leveraging Large Language Models for Real-Time User Guidance 66-74 PDF
  Vincenzo Deufemia, Gaetano Cimino
• CRASTE: Human Factors and Perception in Cybersecurity Education 75-81 PDF
  Danilo Caivano, Vita Santa Barletta, Antonio Piccinno, Antonio Curci, Miriana Calvano
• Toward Dynamic Human Knowledge Assessment to Tailor Network Traffic Visual Platform Interfaces 82-88 PDF
  Bernardo Breve, Vincenzo Deufemia