Protection of a processor with DIFT against physical attacks
Résumé
Internet of Things (IoT) devices are spreading massively in critical infrastructures like industry, smart cities, biomedical devices, etc. Unfortunately, they also contribute to the increase of the attack surface of information systems, which represents a significant threat. A low-cost processor is usually a key element of IoT devices. Thus, it is necessary to build protection mechanisms taking into account performances, energy consumption and area.
Due to network connectivity and proximity to attackers, embedded systems face both software and physical attacks.
Dynamic Information Flow Tracking (DIFT) techniques can detect various software attacks by attaching and propagating tags to information containers at runtime.
The goal of this project is therefore to design and evaluate a robust DIFT protection mechanism against both software and physical attacks (side channel analysis and fault injection attacks). This work relies on an open source RISC-V processor.
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