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pro vyhledávání: '"Chenet, Cristiano Pegoraro"'
This work evaluates how well hardware-based approaches detect stack buffer overflow (SBO) attacks in RISC-V systems. We conducted simulations on the PULP platform and examined micro-architecture events using semi-supervised anomaly detection techniqu
Externí odkaz:
http://arxiv.org/abs/2406.10282
Publikováno v:
IEEE ACCESS 2024
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 approaches. Leveraging hardware performance co
Externí odkaz:
http://arxiv.org/abs/2303.12525
Publikováno v:
2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)
The automotive domain rapidly increases the embedded amount of complex and interconnected electronics systems. A considerable proportion of them are real-time safety-critical devices and must be protected against cybersecurity attacks. Recent regulat
Externí odkaz:
http://arxiv.org/abs/2202.10168
Autor:
Chenet, Cristiano Pegoraro
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFRGSUniversidade Federal do Rio Grande do SulUFRGS.
Este trabalho aborda os soft errors em conversores de dados analógico-digitais e a mitigação usando redundância e diversidade. Nas tecnologias CMOS recentes, os efeitos singulares (SEEs, Single Event Effects) são um grupo de efeitos da radiaçã
Externí odkaz:
http://hdl.handle.net/10183/127693
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