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Relevant bibliographies by topics / Runtime resilient soc

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Journal articles

Academic literature on the topic 'Runtime resilient soc'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Runtime resilient soc"

1

Avani, Dave, and Dave Krunal. "Survey of attack resilient embedded systems design." Journal of Scientific and Engineering Research 7, no. 12 (2020): 242–49. https://doi.org/10.5281/zenodo.13337765.

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The advancement of industrial 4.0 has increased the utilization of resource constrained embedded and IOT devices in application ranging from Internet of Things (<em>IoT</em>) and CyberPhysical Systems (<em>CPS</em>). These systems are often involve in security-critical user data and/or information transfers. This makes them increasingly popular target for attacks to gain access of security-critical user data and/or information. The resiliency of a system is defined by its ability to detect, prevent and recover from the attacks. Crypto primitives such as secure boot, attestation, TPM, control f

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2

Krunal, Dave, and Dave Avani. "Survey of attack resilient embedded systems design." Journal of Scientific and Engineering Research 7, no. 12 (2020): 242–49. https://doi.org/10.5281/zenodo.12772515.

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Abstract:

The advancement of industrial 4.0 has increased the utilization of resource constrained embedded and IOT devices in application ranging from Internet of Things (<em>IoT</em>) and CyberPhysical Systems (<em>CPS</em>). These systems are often involve in security-critical user data and/or information transfers. This makes them increasingly popular target for attacks to gain access of security-critical user data and/or information. The resiliency of a system is defined by its ability to detect, prevent and recover from the attacks. Crypto primitives such as secure boot, attestation, TPM, control f

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3

Casas, Marc, Wilfried N. Gansterer, and Elias Wimmer. "Resilient gossip-inspired all-reduce algorithms for high-performance computing: Potential, limitations, and open questions." International Journal of High Performance Computing Applications 33, no. 2 (2018): 366–83. http://dx.doi.org/10.1177/1094342018762531.

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We investigate the usefulness of gossip-based reduction algorithms in a high-performance computing (HPC) context. We compare them to state-of-the-art deterministic parallel reduction algorithms in terms of fault tolerance and resilience against silent data corruption (SDC) as well as in terms of performance and scalability. New gossip-based reduction algorithms are proposed, which significantly improve the state-of-the-art in terms of resilience against SDC. Moreover, a new gossip-inspired reduction algorithm is proposed, which promises a much more competitive runtime performance in an HPC con

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4

Zhong, Yunshun, and Tamer El-Diraby. "Shoreline Recognition Using Machine Learning Techniques." IOP Conference Series: Earth and Environmental Science 1101, no. 2 (2022): 022025. http://dx.doi.org/10.1088/1755-1315/1101/2/022025.

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Abstract Coastal areas have emerged to be the most significant and dynamic regions worldwide. Therefore, automating shoreline recognition will aid non-profit conservation authorities to reduce public budget expenditures, relieve erosion damage, and increase the climate resilience of the natural environment. In this paper, advanced ML boosting algorithms including XGBoost, and LGBM are firstly applied into shoreline recognition with aerial images (of Lake Ontario in this study). This paper first discussed the significance and a literature review of recent progress in shoreline detection. Then,

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5

Thota, Ravi Chandra. "Enhancing Infrastructure as Code (IaC) with Automated Validation for Reliable and Error-Free Deployments." Journal of Artificial Intelligence Research and Applications 4, no. 1 (2024): 827–47. https://doi.org/10.5281/zenodo.15078796.

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Abstract: Infrastructure as Code (IaC)Is turned out to be a transformative practise in modern software deployment and system managementwhich allows automation and consistency across development and production environment. Despitepromise for deficient and scalable deployments, IaChas inbuilt challenge specially related to the potential for human error and difficulty to ensure reliability and correctness of configuration. The aim of this research paper is to explore the integration of automated validation technique into IaC workflow which canenhance the reliability and accuracy of infrastructure

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