activity
20172024
most citedDROPWAT: an Invisible Network Flow Watermark for Data Exfiltration Traceback

36 citations · 76 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024★ 10 cited

Towards Cyber Threat Intelligence for the IoT

Alfonso Iacovazzi, Han Wang, Ismail Butun +1

With the proliferation of digitization and its usage in critical sectors, it is necessary to include information about the occurrence and assessment of cyber threats in an organiza…

cs.CR2023★ 8 cited

On the Resilience of Machine Learning-Based IDS for Automotive Networks

Ivo Zenden, Han Wang, Alfonso Iacovazzi +3

Modern automotive functions are controlled by a large number of small computers called electronic control units (ECUs). These functions span from safety-critical autonomous driving…

cs.CR2023★ 10 cited

Ensemble of Random and Isolation Forests for Graph-Based Intrusion Detection in Containers

Alfonso Iacovazzi, Shahid Raza

We propose a novel solution combining supervised and unsupervised machine learning models for intrusion detection at kernel level in cloud containers. In particular, the proposed s…

cs.LG2019★ 12 cited

Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics

Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak +2

Mouse dynamics is a potential means of authenticating users. Typically, the authentication process is based on classical machine learning techniques, but recently, deep learning te…

cs.CR2017★ 36 cited

DROPWAT: an Invisible Network Flow Watermark for Data Exfiltration Traceback

Alfonso Iacovazzi, Sanat Sarda, Daniel Frassinelli +1

Watermarking techniques have been proposed during the last 10 years as an approach to trace network flows for intrusion detection purposes. These techniques aim to impress a hidden…