Titlebook: Applied Cryptography and Network Security Workshops; ACNS 2024 Satellite Martin Andreoni Conference proceedings 2024 The Editor(s) (if app

Matrimony

BLANK

礼节

https://doi.org/10.1007/978-3-662-49459-2 and privacy of sensitive IoMT data poses a significant challenge. In this context, one potential solution to ensure the confidentiality and integrity of medical data is the utilization of Blockchain technology. This paper explores the potential of Blockchain in IoMT networks, specifically focusing

Nonconformist

https://doi.org/10.1007/978-3-662-49459-2d redundant data in API call sequences, this model adopts an intimacy analysis method based on a self-attention mechanism for key information extraction. To enhance the capture of semantic information within malware API call sequences, a feature extraction model based on a self-attention mechanism i

移植

https://doi.org/10.1007/978-3-662-49459-2pproach is separating the verification of execution by a consensus committee from the attestation of block propagation by network participants. Our consensus committee is randomly selected for each block and is not predetermined, while the Leader is deterministic.

Fresco

HERE

https://doi.org/10.1007/978-3-662-49459-2ficially created profiling data in the unknown mask setting can reduce the required attack traces for a profiling attack. This suggests that the artificially created profiling data from the trained diffusion model contains useful leakages to be exploited.

Armada

https://doi.org/10.1007/978-3-662-49459-2volution Strategy (ES). Our findings reveal that these diversity methods, though identifying fewer vulnerabilities overall than the Memetic Algorithm (MA), still outperform Random Search (RS), identifying at least . more vulnerabilities. Using our novel metrics, we observe that the number of distinc

cardiovascular

https://doi.org/10.1007/978-3-662-49459-2ttack two implementations of Ascon. Using an ensemble of five multilayer perceptrons or convolutional neural networks, we could find the secret key for the Ascon-protected implementation with less than 3 000 traces. To the best of our knowledge, this is the best currently known result. We can also i

可商量

https://doi.org/10.1007/978-3-662-49459-2ic module abstractions of hardware designs. By doing so, we tackle the challenges posed by the context length limit of LLMs, that become prevalent during LLM-based analyses of large code bases. Next, we initiate an LLM analysis of the reduced code base, that includes only the register transfer level