5 papers
When Entropy Is Not Enough: Multi-Modal Classification of Encrypted and Compressed Data Fragments
Fabio De Gaspari, Dorjan Hitaj, Samuele Salaris +1
Reliable identification of encrypted data fragments is essential in cybersecurity, with applications to ransomware detection, digital forensics, and large-scale data analysis. Dist…
MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark
William Corrias, Fabio De Gaspari, Dorjan Hitaj +1
Recent advances in generative models have led to their application in password guessing, with the aim of replicating the complexity, structure, and patterns of human-created passwo…
Minerva: A File-Based Ransomware Detector
Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari +2
Ransomware attacks have caused billions of dollars in damages in recent years, and are expected to cause billions more in the future. Consequently, significant effort has been devo…
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari +4
Training high-quality deep learning models is a challenging task due to computational and technical requirements. A growing number of individuals, institutions, and companies incre…
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
Sabrine Ennaji, Fabio De Gaspari, Dorjan Hitaj +2
Machine learning has brought significant advances in cybersecurity, particularly in the development of Intrusion Detection Systems (IDS). These improvements are mainly attributed t…