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国家自然科学基金(61202434)

作品数:4 被引量:9H指数:2
发文基金:国家自然科学基金北京市自然科学基金更多>>
相关领域:理学自动化与计算机技术电子电信更多>>

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A LIGHTWEIGHT SOURCE LOCATION PRIVACY PRESERVING SCHEME FOR WIRELESS SENSOR NETWORKS
While many protocols for sensor network security provide confidentiality for message content, contextual infor...
Liming ZHOUQiaoyan WENHua ZHANGLin CHENG
关键词:WSN
A New Solution of Data Security Accessing for Hadoop Based on CP-ABE
In cloud computing platform Hadoop,because user data stored in the cloud is not a controllable domain,so how t...
Huixiang ZhouQiaoyan Wen
关键词:HADOOPHDFS
A lattice-based signcryption scheme without random oracles被引量:5
2014年
Xiuhua LUQiaoyan WENZhengping JINLicheng WANGChunli YANG
关键词:签密方案选择密文攻击应用数学
An Algorithm for the Spectral Immunity of Binary Sequence with Period 2^n
2016年
To resist the fast algebraic attack and fast selective discrete Fourier transform attacks, spectral immunity of a sequence or a Boolean function was proposed. At the same time, an algorithm to compute the spectral immunity of the binary sequence with odd period N was presented, here N is a factor of 2~n-1, where n is an integer. The case is more complicated when the period is even. In this paper, we compute linear complexity of every orthogonal sequence of a given sequence using Chan-Games algorithm and k- error linear complexity algorithm. Then, an algorithm for spectral immunity of binary sequence with period N=2~n is obtained. Furthermore, the time complexity of this algorithm is proved to be O(n).
LIU Zhenhua
关键词:SEQUENCE
PASSIVE RFID-SUPPORTED SOURCE LOCATION PRIVACY PRESERVATION AGAINST GLOBAL EAVESDROPPERS IN WSN
Source location privacy is one of the most challenging issues in WSN applications. Some of existing solutions ...
Wuchen XIAOHua ZHANGQiaoyan WENWenmin LI
A Self-adaptive Learning Rate Principle for Stacked Denoising Autoencoders被引量:1
2015年
Existing research on image classification mainly used the artificial definition as the pre-training of the original image,which cost a lot of time on adjusting parameters.However,the depth of learning algorithm intends to make the computers automatically choose the most suitable features in the training process.The substantial of deep learning is to train mass data and obtain an accurate classification or prediction without any artificial work by constructing a multi-hidden-layer model.However,current deep learning model has problems of local minimums when choosing a constant learning rate to solve non-convex objective cost function in model training.This paper proposes an algorithm based on the Stacked Denoising Autoencoders(SDA)to solve this problem,and gives a contrast of different layer designs to test the performance.A MNIST database of handwritten digits is used to verify the effectiveness of this model..
HAO Qian-qianDING Jin-kouWANG Jian-fei
关键词:SDAREGULARIZATIONLE
Suffix Tree Constructing Algorithm for Datasets with Discrete Contents
The suffix tree is a useful data structure constructed for indexing strings.However,when it comes to large dat...
Zhenzhong JinZheng HuangHua Zhang
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Minimum best success probability by classical strategies for quantum pseudo-telepathy被引量:3
2014年
Quantum pseudo-telepathy(QPT)is a new type of game where the quantum team can win with certainty while the classical one cannot.It means the advantages of quantum participants over classical ones in game.However,there has been no systematic and formal analysis on the QPT game before.Here we present the formal description of the QPT game and the definition of the most simplified QPT.Based on the above definitions,we simplify a famous QPT game,i.e.the Cabllo game.Then,according to some instances,we analyze the minimum best success probability by classical strategies of the two-player QPT,which reflects the advantage of the quantum strategies.Finally,we prove the best success probability by classical strategies for the most simplified QPT is totally related to the number of all possible question combinations.
GAO FeiFANG WeiWEN QiaoYan
关键词:古典
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