Projects. SCAROT

Side-Channel Attacks on Root of Trust

Security and privacy is an inalienable right of individuals. In applications for the Internet of Things (IoT) or in portable systems, the use of cryptographic circuits with reduced resources (lightweight) is increasing in secure applications. Furthermore, among all the appealing challenges in the IoT scenario, securing thousands of connected, resource constrained computing devices is a major challenge nowadays. IoT merges in hardware/software platforms with computing, communication, services and control on data that, in most applications, must be kept secure and trusted, starting from a Root of Trust (RoT). In most modern systems, a hardware approach for RoT is preferred because it is less vulnerable against software attacks, but it should be designed to be resistant against physical attacks. The main objective of SCARoT is to provide secure cryptographic solutions to RoT hardware implementations on IoT devices. In particular, the identification and implementations of the optimal lightweight and post-quantum cryptography algorithms required to build RoT hardware implementations in FPGAs for applications with power consumption constraints and lightweight cryptohardware will be investigated. On the other hand, the improvement of the robustness of the hardware implementations of such algorithms against side-channel attacks, both passive (DPA and DEMA attacks) and active (fault injection), with the inclusion of countermeasures, will be pursued. As a consequence of the achievement of these objectives, it is expected a boost of the IMSE’s Hardware Cybersecurity Laboratory with a set of operating procedures optimized to carry out passive and active attacks (invasive and non-invasive) and a series of measurement protocols to evaluate RoT vulnerabilities.

Principal Investigator

Antonio J. Acosta Jiménez  >

Project Details

  • Type: Research project
  • Funding Body: Junta de Andalucía
  • Reference: US-1380823
  • Start date: 01/01/2022
  • End date: 31/12/2022
  • Funding: 90.000,00 €