Micro-Architectural features as soft-error markers in embedded safety-critical systems: preliminary study

Deniz, Kasap,; Alessio, Carpegna,; Savino, Alessandro; Carlo, Stefano Di

doi:10.1109/ets56758.2023.10174219

Cited by 4 publications

References 24 publications

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A Survey on Hardware-Based Malware Detection Approaches

Chenet,

Savino,

Di Carlo

2024

IEEE Access

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This paper delves into the dynamic landscape of computer security, where malware poses a paramount threat. Our focus is a riveting exploration of the recent and promising hardware-based malware detection approach. Leveraging modern processors' hardware performance counters and machine learning prowess, this approach brings forth compelling advantages such as real-time detection, resilience to code variations, minimal performance overhead, protection disablement fortitude, and cost-effectiveness. Navigating through a generic hardware-based detection framework, we meticulously analyze the approach, unraveling the most common methods, algorithms, tools, and datasets that shape its contours. This survey is not only a resource for seasoned experts but also an inviting starting point for those venturing into the field of malware detection. However, challenges emerge on this exciting journey. We grapple with the imperative of accuracy improvements and strategies to address the remaining classification errors. The discussion extends to crafting mixed hardware and software approaches for collaborative efficacy, essential enhancements in hardware monitoring units, and a better understanding of the correlation between hardware events and malware applications.

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A Survey on Hardware-Based Malware Detection Approaches

Chenet,

Savino,

Di Carlo

2024

IEEE Access

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VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services

Canal,

Chenet,

Arelakis

et al. 2023

2023 26th Euromicro Conference on Digital System Design (DSD)

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VITAMIN-V is a 2023-2025 Horizon Europe project that aims to develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpart and a powerful virtual execution environment for software development, validation, verification, and testing that considers the relevant RISC-V ISA extensions for cloud deployment. VITAMIN-V will specifically s upport the RISC-V extensions for virtualization, cryptography, and vectorization in three virtual environments: QEMU, gem5, and cloud FPGA prototype platforms. The project will focus on European Processor Initiative (EPI) based RISC-V designs and accelerators. VITAMIN-V will also support the ISA extensions by adding the compiler and toolchain support. Furthermore, it will develop novel software validation, verification, a nd testing approaches to ensure software trustworthiness. To enable the execution of complete cloud stacks, VITAMIN-V will port all necessary machine-dependent modules in relevant open-source cloud software distributions, focusing on three cloud setups. Finally, VITAMIN-V will demonstrate and benchmark these three cloud setups using relevant AI, big-data, and serverless applications. VITAMIN-V aims to match the software performance of its x86 equivalent while contributing to RISC-V open-source virtual environments, software validation, and cloud software suites.

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