An integrated error-correction scheme with high throughput, low frame errors rate (FER) and high reconciliation efficiency under low signal to noise ratio (SNR) is one of the major bottlenecks to realize high-performa...
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In 2007, Carlet and Ding introduced two parameters, denoted by NbF and NBF, quantifying respectively the balancedness of general functions F between finite Abelian groups and the (global) balancedness of their derivat...
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With the globalization of the IC industry, hardware security has become an important topic, especially hardware Trojans (HT) hidden in ICs. In this paper, we presented the method based on histogram of oriented gradien...
With the globalization of the IC industry, hardware security has become an important topic, especially hardware Trojans (HT) hidden in ICs. In this paper, we presented the method based on histogram of oriented gradient (HOG) and support vector machine (SVM) to detect doping modified HTs, which is generally inserted by modifying the layout of some standard cells and is very difficult to detect. In order to address this problem, this paper firstly takes the standard layout without changing the doping polarity as the Trojan free (TF) layout, and regards the modified layout with changing the doping polarity as the HT layout, and then classifies the experimental data set into HT or TF by extracting the HOG features and using SVM training classification method. Experimental results demonstrate that the experimental accuracy of this method can reach 92.8%.
The deployment of quantum random number generator in fiber optics is strongly limited in real world applications due to the size of the components and their cost. Here we present a quantum random number generator base...
The deployment of quantum random number generator in fiber optics is strongly limited in real world applications due to the size of the components and their cost. Here we present a quantum random number generator based on vacuum fluctuation using an optical homodyne detection in silicon photonic chip achieving minimum entropy/bit of 8.5 for 10 bits sample. The produced random numbers have passed all NIST randomness tests.
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