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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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Research on undergraduate thesis' s tutor allocation based on Dynamic Game Model of Incomplete Information

Research on undergraduate thesis' s tutor allocation based o...

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2016 3rd International Conference on Education,Management and computing Technology(ICEMCT 2016)

作者： Hengwei Zhang Zhengzhou Institute of Information Science and Technology State Key Laboratory of Mathematical Engineering and Advanced Computing

Fairness is the prerequisite to the undergraduate thesis' s tutor allocation, which means students have the priority for choosing tutors. Because of rich experience and authoritative discourse power, the senior tutors are usually the objects that students compete for. In the case of information asymmetry, resources of the scarce senior tutors may not be fully utilized, resulting in the decline of thesis quality. In this paper we analyze the efficiency of the existing undergraduate thesis' s tutor allocation by using signaling game model. Finally, the improved allocation is proposed, meanwhile some advices on prompting thesis quality are given.

关键词： Undergraduate Thesis Tutor Allocation Dynamic Game

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A Format Protection Method of Greybox Fuzzing 19

A Format Protection Method of Greybox Fuzzing

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19th IEEE International Conference on Communication Technology, ICCT 2019

作者： Zhao, Shibin Zhou, Tianyang Duan, Xiaoli Lin, Hongyang Ying, Xinlei Shi, Qibo Peng, Jianshan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China China United Network Communications Group Co. Ltd Shanxi Yuncheng Branch Yuncheng044000 China Ant-financial Light-Year Security Lab hangzhou310000 China

ISBN: (纸本)9781728105352

Greybox fuzzing, which can fuzz without knowledge of the format, is one of the most advanced fuzzing techniques. However, the lack of format knowledge makes the test cases' format messy as the fuzzing proceeds and reduces the effectiveness of fuzzing. In this paper, we introduce a format protection method that can protect the format of test cases during greybox fuzzing. Based on prior knowledge, the Naive Bayes classifier is applied to achieve a format check method, which is used to improve the favourite seed selection process and induce the position of variation. The experiment results indicate that this method not only has a higher code coverage ratio and more unique crashes in less time than other fuzzers but also maintains the invalid format ratio at a low level. 24 previously unreported CVEs were exposed. © 2019 IEEE.

关键词： Classifiers

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Improving CoatNet for Spatial and JPEG Domain Steganalysis

Improving CoatNet for Spatial and JPEG Domain Steganalysis

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Hao Li Xiangyang Luo Yi Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Advanced Computing and Key Laboratory of Cyberspace Situation Awareness of Henan Provinc Zhengzhou China

The covert communication technology represented by image steganography can realize the safe and reliable information transmission over an open network. Steganalysis is an important way to measure the security of steganography. The application of deep learning in the field of steganalysis has begun to emerge and achieved certain results. However, the existing steganalysis methods based on deep learning extract limited global features and the detection accuracy still needs to be improved. Therefore, this manuscript proposes an improving CoatNet for spatial and JPEG domain steganalysis (IMCoatNet). Firstly, the SKAttention structure is used to extract fine-grained features. Then, the convolution layer, Transformer layer and the pyramid squeezed attention is used to capture multi-scale spatial features. Finally, a weighted loss is designed to enhance the expression ability of the model. The results show that compared with the traditional Spatial Rich Model (SRM) method, the classical deep residual network for steganalysis (SRNet), and the latest siamese CNN for steganalysis (SiaStegNet), the detection accuracy of the proposed CoatNet method for WOW steganography is improved by 19.61%, 4.33% and 5.04%, respectively; The proposed IMCoatNet is also superior on JPEG domain detection.

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BA-Audit: Blockchain-Based Public Auditing for Aggregated Data Sharing in Edge-Assisted IoT 1

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4th EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2021

作者： Liu, Mingxi Lu, Ning Yin, Jingli Cheng, Qingfeng Shi, Wenbo School of Computer Science and Engineering Northeastern University Shenyang China School of Computer Science and Technology Xidian University Xi’an China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Strategic Support Force Information Engineering University Zhengzhou China

ISBN: (数字)9783030967918

ISBN: (纸本)9783030967901

With the massive placement of sensors leading to a surge in IoT data, it is wise for system administrators to use data aggregation strategies to collect and share data in edge-assisted IoT scenarios because traditional methods will exhaust bandwidth resources. Users need to verify the integrity of aggregated data to ensure security sharing. However, existing data auditing technologies are disabled because aggregate data has no metadata. This paper proposes a blockchain-based auditing scheme for aggregated data to achieve efficient and secure data sharing. First, we design a hash index balanced tree (HIBT) to reduce the computational expense of signature retrieval. Then, we propose an audit protocol to protect aggregated data immutability. Also, we provide security and performance analysis at the end of the paper. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Blockchain

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A Novel Timing-based Network Covert Channel Detection Method

A Novel Timing-based Network Covert Channel Detection Method

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Lu, Shoupu Chen, Zhifeng Fu, Guangxin Li, Qingbao State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Province Zhengzhou450001 China Henan University of Economics and Law Henan Province Zhengzhou450000 China P.O.Box 5111 Beijing China

Network stealth events are endless, and covert timing channel is one of the most difficult means to prevent. In order to further improve the detection rate of covert timing channel, several typical network covert timing channel construction algorithms are analyzed. On the basis of the above analysis, a detection method based on IPDs multidimensional features was proposed in this paper. IPDs of covert timing channels from three dimensions: shape, change rule and data statistics are analyzed. Respectively, polarization feature, autocorrelation feature, clustering feature are proposed, and the three features are unified into a model. The threshold method is used to determine whether the channel to be detected is a normal channel. Experiments show that the method can detect the existing covert timing channel with less time cost and compared with the traditional detection method has a certain rate of improvement. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Timing circuits

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A flexible capacitive photoreceptor for the biomimetic retina

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Light(Science & Applications) 2022年第1期11卷 38-49页

作者： Mani Teja Vijjapu Mohammed E.Fouda Agamyrat Agambayev Chun Hong Kang Chun-Ho Lin Boon S.Ooi Jr-Hau He Ahmed M.Eltawil Khaled N.Salama Sensors lab Advanced Membranes and Porous Materials CenterComputerElectrical and Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Communication and Computing Systems Lab ComputerElectrical and Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Department of Electrical Engineering and Computer Science University of California-IrvineIrvineCA 92612USA Department of Electrical Computer and Energy EngineeringArizona State UniversityTempeAZUSA Computer Electrical and Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Department of Materials Science and Engineering City University of Hong KongHong Kong SARChina

Neuromorphic vision sensors have been extremely beneficial in developing energy-efficient intelligent systems for robotics and privacy-preserving security *** is a dire need for devices to mimic the retina's photoreceptors that encode the light illumination into a sequence of spikes to develop such ***,we develop a hybrid perovskite-based flexible photoreceptor whose capacitance changes proportionally to the light intensity mimicking the retina's rod cells,paving the way for developing an efficient artificial retina *** proposed device constitutes a hybrid nanocomposite of perovskites(methyl-ammonium lead bromide)and the ferroelectric terpolymer(polyvinylidene fluoride trifluoroethylene-chlorofluoroethylene).A metal-insulator-metal type capacitor with the prepared composite exhibits the unique and photosensitive capacitive behavior at various light intensities in the visible light *** proposed photoreceptor mimics the spectral sensitivity curve of human photopic *** hybrid nanocomposite is stable in ambient air for 129 weeks,with no observable degradation of the composite due to the encapsulation of hybrid perovskites in the hydrophobic *** functionality of the proposed photoreceptor to recognize handwritten digits(MNIST)dataset using an unsupervised trained spiking neural network with 72.05%recognition accuracy is *** demonstration proves the potential of the proposed sensor for neuromorphic vision applications.

关键词： perovskite illumination preserving

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