activity
20152025
most citedMalPhase: Fine-Grained Malware Detection Using Network Flow Data

31 citations · 44 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SI2025

BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor

Edoardo Di Paolo, Fabio De Gaspari, Angelo Spognardi

Online Social Networks (OSNs) are a cornerstone in modern society, serving as platforms for diverse content consumption by millions of users each day. However, the challenge of ens…

cs.CR2025

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…

cs.CR2021★ 31 cited

MalPhase: Fine-Grained Malware Detection Using Network Flow Data

Michal Piskozub, Fabio De Gaspari, Frederick Barr-Smith +2

Economic incentives encourage malware authors to constantly develop new, increasingly complex malware to steal sensitive data or blackmail individuals and companies into paying lar…

cs.CR2019

The Naked Sun: Malicious Cooperation Between Benign-Looking Processes

Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta +2

Recent progress in machine learning has generated promising results in behavioral malware detection. Behavioral modeling identifies malicious processes via features derived by thei…

cs.NI2015★ 13 cited

LineSwitch: Efficiently Managing Switch Flow in Software-Defined Networking while Effectively Tackling DoS Attacks

Moreno Ambrosin, Mauro Conti, Fabio De Gaspari +1

Software Defined Networking (SDN) is a new networking architecture which aims to provide better decoupling between network control (control plane) and data forwarding functionaliti…