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2014 International Conference on Computer,Network Security and Communication engineering(CNSCE 2014)

作者： Peng LIU Rong-cai ZHAO Wei GAO Xiang-jie MENG State Key Laboratory of Mathematical Engineering and Advanced Computing Personnel Department of Henan Meteorological Bureau

Pointer alias analysis is a key technology in dataflow analysis, the analysis results are the basis of compilation optimization and program transformation. Based on the analysis of demand-driven pointer analysis algorithms, the imprecision of demand driven alias analysis algorithm of one level flow is studied. Combined with two demand driven analysis algorithms, an improved pointer alias analysis algorithm is proposed. Finally the algorithm is evaluated on SPEC2006 benchmark, the experiment results show that the algorithm has high precision and fine scalability than the other two.

关键词： Pointer alias analysis Demand driven Context-free language Scalability

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Hidden System APIs Based Code Obfuscation

Hidden System APIs Based Code Obfuscation

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2015 International Conference on Mechanical,Electronic and Information Technology engineering

作者： Fei Xiang Fenlin Liu Bin Lu Daofu Gong Zhengzhou Information Science and Technology Institute State Key Laboratory of Mathematical Engineering and Advanced Computing

For the problem that static disassembly can expose system API calls in programs, this paper proposes a kind of code obfuscation aimed at hiding system API calls from reverse analysis. The algorithm is implemented by creating a system API address table and constructing secret index variables. During execution, the program looks up the table for the correct API to call, thus keeping the semantic unchanged. Analysis and experiments show that the algorithm can effectively protect system API calls from static reverse analysis.

关键词： static disassembly reverse analysis code obfuscation system API address table

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CinfoFuzz: Fuzzing Method Based on Web Service Correlation Information of Embedded Devices

CinfoFuzz: Fuzzing Method Based on Web Service Correlation I...

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International Conference on Information, Communication and Networks (ICICN)

作者： Qi Feng Weiyu Dong Cyberspace Security Department State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665490832

There are many vulnerable vulnerabilities in Web service of embedded devices. However, existing fuzzing methods cannot analyze such Web service efficiently or effectively. Aiming at the above problems, this paper proposes a fuzzing method based on Web service correlation information of embedded devices (Wsci-ed). Based on this method, this paper implements the fuzzing test prototype tool CinfoFuzz, which guides the fuzzing with Wsci-ed. Comparing the performance of CinfoFuzz with the fuzzing tools Boofuzz and Peach, the results show that CinfoFuzz has higher efficiency; in the vulnerability mining experiment of actual software, CinfoFuzz can trigger more vulnerabilities.

关键词： Performance evaluation Correlation Web services Prototypes Computer architecture Fuzzing Software

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Median Filtering Detection Based on Quaternion Convolutional Neural Network

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Computers, Materials & Continua 2020年第10期65卷 929-943页

作者： Jinwei Wang Qiye Ni Yang Zhang Xiangyang Luo Yunqing Shi Jiangtao Zhai Sunil Kr Jha Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China Department of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijing100093China Department of Electrical Computer Engineering New Jersey Institute of TechnologyNew JerseyNJ07102USA

Median filtering is a nonlinear signal processing technique and has an advantage in the field of image ***,more attention has been paid to the forensics research of median *** this paper,a median filtering forensics method based on quaternion convolutional neural network(QCNN)is *** median filtering residuals(MFR)are used to preprocess the *** the output of MFR is expanded to four channels and used as the input of *** QCNN,quaternion convolution is designed that can better mix the information of different channels than traditional *** quaternion pooling layer is designed to evaluate the result of quaternion *** is proposed to features well combine the three-channel information of color image and fully extract forensics *** show that the proposed method has higher accuracy and shorter training time than the traditional convolutional neural network with the same convolution depth.

关键词： Median filtering forensics quaternion convolution layer quaternion pooling layer color image

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Vulnerability Analysis for Complex Networks under the Shortest Path-Attack Strategies

Vulnerability Analysis for Complex Networks under the Shorte...

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2016 International Conference on Communications, Information Management and Network Security (CIMNS2016)

作者： Yaohui Hao Jihong Han Qinghua Cheng Yongjin Hu Zhengzhou Institute of Information Science and technology State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (纸本)9781510830981

We proposed three shortest path-attack strategies and investigated the vulnerability of three complex model networks under these path-attack strategies. The experimental results indicate that the robustness of random network is the weakest, but small-world network is the strongest under the shortest pathattack strategies. We also obtain that the shortest path-attack strategies are more harmful than RPA(random augmenting approach) attack strategy. These findings supplement and extend the previous attack results and can thus help us to provide some insights into the design of more robust networks.

关键词： vulnerability complex network shortest path-attack degree betweeness

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A Traffic Classification Method Based on Wavelet Spectrum of Scatter Factor and Improved K-means

A Traffic Classification Method Based on Wavelet Spectrum of...

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2016 3rd International Conference on engineering Technology and Application（ICETA 2016）

作者： Jinlong Fei Tianpeng Wang Xinzheng He Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Science and Technology on Communication Security Laboratory

Based on the problem that supervised machine learning requires labeled samples and fails to identify unknown traffic,the author innovatively integrates wavelet transform and K-means algorithm of unsupervised machine learning by combining the advantage of wavelet transform in solving multi-fractal network traffic and proposes a traffic identification method based on wavelet spectrum of scatter factor and improved *** method represents each stream sequence with wavelet spectrum of scatter factor,which is taken as the input of clustering *** author carries out a cluster analysis with GA K-means *** experimental result suggests that this method has an obvious superiority in stability and accuracy of classification.

关键词： traffic classification machine learning wavelet spectrum of scatter factor genetic algorithm GAK-means

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CRNet:3D Face Reconstruction with Contour Map Regression Network

CRNet:3D Face Reconstruction with Contour Map Regression Net...

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International Conference on Computer and Communications (ICCC)

作者： Tongxin Wei Qingbao Li Jinjin Liu School of Software Zhengzhou University Zhengzhou State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

2D face images represent faces with incomplete information. 3D face reconstruction from a single 2D image is a challenging problem with application value. The single feature extraction method distorts the generated 3D face image. In this paper, we use contour-based face segmentation method to reconstruct 3D face image. We focus on the edge and contour information of the face when using contour lines to segment the face. Different from the global 3D face reconstruction method, we combine the global and local face information to carry out 3D face reconstruction. Our method: First of all, we do contour segmentation for human faces and extract the features of the segmented images. Second, we learn the local binary features of each keypoint in a complete face image, then combine the features and use linear regression to detect the keypoints. Thirdly, we use Convolutional Neural Networks to learn the regression 3D Morphable Model coefficient and significantly improve the quality and efficiency of reconstruction. We regressed the coefficients of the 3D deformable model from 2D images to present face alignment for 3D face reconstruction. We carry out feature mapping between 2D face and 3D face image, and monitor and verify 3D face model through mapping relationship. Our method can not only reconstruct face images from all angles, but also reduce face deformities. We made face images fit better under different expressions and postures.

关键词： Image segmentation Solid modeling Three-dimensional displays Two dimensional displays Feature extraction Faces Image reconstruction

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Semi-Markov Network Traffic Model Based on Pareto Distribution

Semi-Markov Network Traffic Model Based on Pareto Distributi...

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2016 3rd International Conference on engineering Technology and Application（ICETA 2016）

作者： Jinlong Fei Tianpeng Wang Xinzheng He Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Science and Technology on Communication Security Laboratory

The establishment of the network traffic model has an important significance on the research of *** the basis of existing researches,this paper proposes the improved Semi-Markov network traffic model,and re-divides the state of network traffic into idle state,normal state and busy state,and also researches the busy state of network traffic by the use of Pareto distribution,and later researches the state transition relation of Semi-Markov process on this *** experimental results show that the characteristics of the network traffic under the busy state can be well in line with the nature of Pareto distribution,and the network bandwidth utilization calculated in this way is also consistent with the actual situation,so that the model established in this paper can well describe the characteristics of network traffic.

关键词： Pareto distribution Semi-Markov process network traffic model network bandwidth utilization

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Multi-objective Firefly Algorithm for Test Data Generation with Surrogate Model

Multi-objective Firefly Algorithm for Test Data Generation w...

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2021国际计算机前沿大会

作者： Wenning Zhang Qinglei Zhou Chongyang Jiao Ting Xu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhongyuan University of Technology Zhengzhou University

To solve the emerging complex optimization problems,multi objective optimization algorithms are *** introducing the surrogate model for approximate fitness calculation,the multi objective firefly algorithm with surrogate model(MOFA-SM) is proposed in this ***,the population was initialized according to the chaotic ***,the external archive was constructed based on the preference sorting,with the lightweight clustering pruning *** the process of evolution,the elite solutions selected from archive were used to guide the movement to search optimal *** results show that the proposed algorithm can achieve better performance in terms of convergence iteration and stability.

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A secure spectrum auction scheme without the trusted party based on the smart contract

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Digital Communications and Networks 2021年第2期7卷 223-234页

作者： Jiaqi Wang Ning Lu Qingfeng Cheng Lu Zhou Wenbo Shi School of Computer Science and Engineerings Northeastern University Shenyang 110004China School of Computer Science and Technology Xidian UniversityXi'anChina Strategic Support Force Information Engineering University Zhengzhou450001China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China Division of Computer Science University ofAizuAizu-WakamatsuJapan School of Computer and Communication Engineering Nordieastem UniversityQinhuangdao066004China

With the development of communication 5G networks and technologies,spectrum resources are increasingly *** scarcity of the spectrum resource makes market-driven spectrum auction become an important means of spectrum allocation,and due to the complexity of the network environment,the security of spectrum auctions can not be *** existing secure spectrum auction schemes introduce a semi-honest agent to complete spectrum ***,the hypothetical semi-honest model does not guarantee the security of spectnim auction in the actual application scenario,which may lead to potential security threats:the agent may reveal the privacy of bidders,agent or auctioneer may collude with the bidder to manipulate the spectrum auction,and so *** this paper,a secure spectrum auction scheme without a trusted party is proposed based on the smart contract technology,and the smart contract written into the blockchain replaces the traditional semi-honest agent to cooperate with the auctioneer server to complete the *** order to ensure the security of our scheme,a secure spectrum auction protocol is designed,in which the Software Guard Extensions(SGX)technology and Paillier cryptosystem are used to protect the privacy of *** verification is provided in our protocol by using extensive Pedersen commitment,which prevents the auctioneer server and the bidder from colluding with each other and verifies group bid sum ***,the security analysis is given to propose several types of attacks that can be ***,theoretical analysis and simulation experiments of our protocol are also provided.

关键词： 5g Secure spectrum auction Bidders'bids'privacy Smart contract Public verification

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