most citedDetecting ADS-B Spoofing Attacks using Deep Neural Networks

13 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2019

Covert Channel-Based Transmitter Authentication in Controller Area Networks

Xuhang Ying, Giuseppe Bernieri, Mauro Conti +2

In recent years, the security of automotive Cyber-Physical Systems (CPSs) is facing urgent threats due to the widespread use of legacy in-vehicle communication systems. As a repres…

eess.SY2019★ 12 cited

Detecting integrity attacks in IoT-based Cyber Physical Systems: a case study on Hydra testbed

Federica Battisti, Giuseppe Bernieri, Marco Carli +2

The Internet of Things paradigm improves the classical information sharing scheme. However, it has increased the need for granting the security of the connected systems. In the ind…

cs.CR2019★ 13 cited

Detecting ADS-B Spoofing Attacks using Deep Neural Networks

Xuhang Ying, Joanna Mazer, Giuseppe Bernieri +3

The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key component of the Next Generation Air Transportation System (NextGen) that manages the increasingly congested…

cs.CR2019★ 8 cited

TACAN: Transmitter Authentication through Covert Channels in Controller Area Networks

Xuhang Ying, Giuseppe Bernieri, Mauro Conti +1

Nowadays, the interconnection of automotive systems with modern digital devices offers advanced user experiences to drivers. Electronic Control Units (ECUs) carry out a multitude o…

cs.CR2018★ 8 cited

Taking Control: Design and Implementation of Botnets for Cyber-Physical Attacks with CPSBot

Daniele Antonioli, Giuseppe Bernieri, Nils Ole Tippenhauer

Recently, botnets such as Mirai and Persirai targeted IoT devices on a large scale. We consider attacks by botnets on cyber-physical systems (CPS), which require advanced capabilit…