Table of contents

Description

  • Speaker

    Alan Díaz Rizo - Sorbonne Université Lip6

The threat of Hardware Trojan-based Covert Channels (HT-CCs) presents a significant challenge to the security of wireless communications. In this work, we generate in hardware and make open-source a dataset for various HT-CC scenarios. The dataset represents transmissions from a HT-infected RF transceiver hiding a CC that leaks information. It encompasses a wide range of signal impairments, noise levels, and HT insertions, facilitating a robust evaluation of HT-CC attack models and defenses. We also propose a deep learning-based HT-CC detection defense that achieves excellent accuracy on the dataset. It is an one fit all solution that circumvents the cost of integrating several distinct defenses to deal with all known HT-CC scenarios.

Practical infos

  • Date

    February 28, 2025 (10:00 - 11:00)

  • Location

    Inria Center of the University of Rennes Espace de conférences
    Locate on Google Maps

  • Suggest a presentation

    Go to suggestion form

  • Add this presentation to my calendar

Next sessions

  • Hardware Trojan Horses and Microarchitectural Side-Channel Attacks: Detection and Mitigation via Hardware-based
    Methodologies

    • January 24, 2025 (10:00 - 11:00)

    • Inria Center of the University of Rennes - Espace de conférences

    Speaker : Alessandro PALUMBO - CentraleSupélec, IRISA, Inria

    Hardware Trojan Horses that are software-exploitable can be inserted into microprocessors, allowing attackers to run unauthorized code or escalate privileges. Additionally, it has been demonstrated that attackers could observe certain microprocessor features - seemingly unrelated to the program's execution - to exfiltrate secrets or private data. So, even devices produced in secure foundries could[…]

    • SemSecuElec

    • Side-channel

    • Micro-architectural vulnerabilities

    • Hardware trojan

  • I know what your compiler did: Optimization Effects on Power Side-Channel Leakage for RISC-V

    • January 24, 2025 (11:00 - 12:00)

    • Inria Center of the University of Rennes - Espace de conférences

    Speaker : Ileana Buhan - Radboud University Nijmegen

    With the growing prevalence of software-based cryptographic implementations in high-level languages, understanding the role of architectural and micro-architectural components in side-channel security is critical. The role of compilers in case of software implementations towards contribution to side-channel leaks is not investigated. While timing-based side-channel leakage due to compiler effects[…]

    • SemSecuElec

    • Side-channel

  • Measurement the thermal component of clock jitter used as entropy source by TRNGs

    • February 28, 2025 (11:00 - 12:00)

    • Inria Center of the University of Rennes - Espace de conférences

    Speaker : Arturo GARAY - STMicroelectronics

    Introduction Measuring the thermal component of clock jitter as an entropy source for True Random Number Generators (TRNGs) is compulsory for the security and evaluation of clock-jitter based TRNGs. However, identifying and isolating the local thermal noise component from other noise sources, particularly flicker noise, while performing a precise measurement remains a challenge. Current[…]

    • SemSecuElec

    • TRNG

  • Cryptanalytical extraction of complex Neural Networks in black-box settings

    • March 28, 2025 (10:00 - 11:00)

    • Inria Center of the University of Rennes - Espace de conférences

    Speaker : Benoit COQUERET - INRIA, Thales CESTI

    With the widespread development of artifical intelligence, Deep Neural Networks (DNN) have become valuable intellectual property (IP). In the past few years, software and hardware-based attacks targetting at the weights of the DNN have been introduced allowing potential attacker to gain access to a near-perfect copy of the victim's model. However, these attacks either fail against more complex[…]

    • SemSecuElec

    • Side-channel

    • Machine learning

Show previous sessions
Page top