Antonio LIOY

Full Professor of Computer Engineering

Politecnico di Torino

Italy

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Antonio Lioy is a Full Professor of Computer Engineering at Politecnico di Torino, Italy. His research interests include trusted computing, cybersecurity, and quantum key distribution, as evidenced by his recent works on frameworks for remote attestation, evaluation of certificate revocation in web ecosystems, and methodologies for mitigating software integrity attacks. He is actively involved in exploring advancements in ICT supply chains and the integration of quantum technologies within cloud environments.

Articles (12)

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (5)

LEONARDO REGANO

Assistant Professor

University of Cagliari

ITALY

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Diego Lopez

Head of Technology Exploration

SPAIN

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SANDRA MARIA GOMEZ CANAVAL

Universidad Politécnica de Madrid

SPAIN

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CATALDO BASILE

Assistant Professor

Politecnico di Torino

ITALY

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Henrique Santos

Professor Associado com Agregação

University of Minho

PORTUGAL

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Antonio LIOY

Research Interests

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Articles (12)

EMBRAVE: EMBedded Remote Attestation and Verification framEwork

Implementation of the TCG DICE Specification Into the Keystone TEE Framework

A novel architecture to virtualise a hardware-bound trusted platform module

An Evaluation of X.509 Certificate Revocation and Related Privacy Issues in the Web PKI Ecosystem

Mitigating Software Integrity Attacks With Trusted Computing in a Time Distribution Network

Encryption-agnostic classifiers of traffic originators and their application to anomaly detection

Integrity Verification of Distributed Nodes in Critical Infrastructures

Quantum Key Distribution in Kubernetes Clusters

Cybersecurity in ICT Supply Chains: Key Challenges and a Relevant Architecture

Toward a Complete Software Stack to Integrate Quantum Key Distribution in a Cloud Environment

On Enabling Additional Natural Person and Domain-Specific Attributes in the eIDAS Network

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning

Collaborators (5)

LEONARDO REGANO

Diego Lopez

SANDRA MARIA GOMEZ CANAVAL

CATALDO BASILE

Henrique Santos

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