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In-depth Correlation Power Analysis Attacks on a Hardware Implementation of CRYSTALS-Dilithium
During the standardisation process of post-quantum cryptography, NIST encourages research on side-channel analysis for candidate schemes. As the...
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A Lattice Attack on CRYSTALS-Kyber with Correlation Power Analysis
CRYSTALS-Kyber is a key-encapsulation mechanism, whose security is based on the hardness of solving the learning-with-errors (LWE) problem over...
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Cross-Correlation Based Trace Segmentation for Clustering Power Analysis on Public Key Cryptosystems
Simple Power Analysis (SPA) is a technique that directly analyzes the power consumption information collected during the execution of cryptographic...
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Correlation Power Analysis and Protected Implementation on Block Cipher RainDrop
RainDrop is a lightweight block cipher algorithm proposed in 2019. Even though RainDrop proved to be resistant to classical cipher analysis such as...
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Time series cross-correlation network for wind power prediction
Wind power is an indispensable part of clean energy, but due to its inherent instability, it is necessary to predict the power generation of wind...
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Analysis of imprecise measurement data utilizing z-test for correlation
The conventional Z-test for correlation, grounded in classical statistics, is typically employed in situations devoid of vague information. However,...
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Constrained Canonical Correlation Analysis for fMRI Analysis Utilizing Experimental Paradigm Information
Data-driven methods have been successfully used in functional magnetic resonance imaging (fMRI) data analysis, utilizing no explicit prior...
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Study on the Fundamentals of Electrical Engineering Based on Grey Correlation Analysis
The fundamentals of electrical engineering is a compulsory course set up by the school of electrical and automation of Wuhan University for...
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Inverter Fault Diagnosis Based on Improved Grey Correlation Analysis
The main component of the robot power system, the inverter, is crucial for maintaining the safety of the robot system. The failure modes and fault...
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A direct construction of complete complementary code with zero correlation zone property for prime-power length
In this paper, we propose a direct construction of a novel type of code set which has combined properties of complete complementary code (CCC) and...
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A correlation analysis framework via joint sample and feature selection
Correlation Analysis is a popular technique for describing relationships between two datasets. In this paper, we proposed a correlation analysis...
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Hybrid LSTM-Graph Convolutional Neural Network with Wavelet Transform and Correlation Analysis for Electrical Demand Forecasting
Accurate electrical demand forecasting is essential for power system efficiency, renewable energy investment, and cost-effective electricity...
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Visual Analysis of Machine Tool Operation Mode Correlation Based on Parameter Category Coding
Aiming at the problem that the machine tool operation data has many dimensions, the parameters relationship is complex, and its abnormal patterns and...
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Correlation–Comparison Analysis as a New Way of Data-Mining: Application to Neural Data
This paper aims to present a way of multidimensional data-mining termed correlation–comparison analysis (CCA). It was applied to neural data to...
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Power grid stability analysis using pipeline machine
The problems associated with the stability analysis of power system are very important and has a wide scope of improvement. Severity of the transient...
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Power Analysis Attack Based on BS-XGboost Scheme
The power attack is a type of side-channel attack that involves measuring the power consumption of a device to extract secret information. By...
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Optimal gas subset selection for dissolved gas analysis in power transformers
The power transformer is one of the key components of any electrical grid, and, as such, modern day industrialization activities require constant...
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Forecasting Method of Power Consumption Information for Power Users Based on Cloud Computing
In order to realize the real-time balance of power demand and effectively avoid the waste of power, it is necessary to forecast the power...