现实 发表于 2025-3-26 22:52:50
http://reply.papertrans.cn/17/1676/167504/167504_31.pngarchetype 发表于 2025-3-27 02:56:43
Acki Nacki: A Probabilistic Proof-of-Stake Consensus Protocol with Fast Finality and Parallelisationpproach 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.或者发神韵 发表于 2025-3-27 05:50:56
Incorporating Cluster Analysis of Feature Vectors for Non-profiled Deep-learning-Based Side-Channelas MSB or HW. We propose a new deep-learning-based SCA in a non-profiled scenario to solve these problems. Our core idea is to conduct dimensionality reduction on the leakage waveform using DNN. The adversary conducts cluster analysis using the feature vectors extracted from power traces using DNN.暗语 发表于 2025-3-27 11:11:59
http://reply.papertrans.cn/17/1676/167504/167504_34.pngGUEER 发表于 2025-3-27 16:10:42
http://reply.papertrans.cn/17/1676/167504/167504_35.pngTruculent 发表于 2025-3-27 17:48:08
http://reply.papertrans.cn/17/1676/167504/167504_36.pngFulsome 发表于 2025-3-28 00:10:42
Harnessing the Power of General-Purpose LLMs in Hardware Trojan Designic 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 levelinscribe 发表于 2025-3-28 05:33:37
Device Fingerprinting in a Smart Grid CPSgs) is modeled through the use of machine learning techniques. Under a malicious spoofing attack, the noise pattern deviates from the fingerprinted pattern and hence enabling the proposed detection scheme to identify these attacks. A novel ensemble learning method is used to identify the Intelligent急急忙忙 发表于 2025-3-28 06:40:25
Evaluation of Lightweight Machine Learning-Based NIDS Techniques for Industrial IoTur implementations on the IoT-23 and TON_IoT datasets and compare the results in terms of classification performance, throughput and resource consumption. We show that tree-based models surpass the neural network-based models in classification performance and throughput but that hardware acceleratio周年纪念日 发表于 2025-3-28 10:53:23
Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructuresd that the performance of the system under an attack is dependent on the recovery time; hence, the higher the systemic impact, the lower the resilience of the CNI and vice versa. Quantifying the resilience of CNI is crucial to determining the security control defenses required to reduce the impact o