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Survey on quantitative evaluations of moving target defense

网络与信息安全学报 2018年第9期4卷 66-76页

作者： Huanruo LI Yunfei GUO Shumin HUO Guozhen CHENG Wenyan LIU National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China

Quantitative evaluations are of great importance in network security *** recent years,moving target defense(MTd)has appeared to be a promising defense approach that blocks asymmetrical advantage of attackers and favors the defender-notwithstanding,it has a limited deployment due to its uncertain efficiency and effectiveness in *** that case,quantitative metrics and evaluations of MTd are essential to prove its capability and impulse its further *** article presents a comprehensive survey on state-of-the-art quantitative ***,taxonomy of MTd techniques is stated according to the software stack ***,a concrete review and comparison on existing quantitative evaluations of MTd is ***,notice-worthy open issues regarding this topic are proposed along with the conclusions of previous studies.

关键词：计算机网络网络管理应用程序信息安全

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A dynamic Shortest Path deployment of Virtual Network Function

A Dynamic Shortest Path Deployment of Virtual Network Functi...

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2nd International Conference on Mechanical, Electronic, Control and Automation engineering (MECAE 2018)

作者： Xiaolei Wang Shiqing Sun Hongbo Tang National Digital Switching System Engineering & Technological R &D Center

In the 5 G mobile communication network virtualization scenario, how to deploy service function chaining of the core network efficiently is the key problem to realize the efficient deployment of virtual Evolved Packet Core network services. In order to solve the problem that the existing deployment methods are difficult to meet the requirement of the mobile communication with low latency, this paper proposed a method for service function chaining deployment based on Q-learning. This method solved the problem by applying establish a Markov decision process model to the latency optimization in the context of VNF deployment, and then design a Q-learning algorithm to found the deployment solutions with minimum delay cost of network services. Simulation results show that the proposed method achieves better performances in terms of average processing time, request acceptance rate, gain and execution time.

关键词： 5G network function virtualization v EPC service function chaining Q-learning

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Undoped Strained Ge Quantum Well with Ultrahigh Mobility Grown by reduce Pressure Chemical Vapor deposition

arXiv

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arXiv 2022年

作者： Kong, Zhenzhen Li, Zonghu Cao, Gang Su, Jiale Zhang, Yiwen Liu, Jinbiao Liu, Jingxiong ren, Yuhui Wei, Laiming Guo, Guoping Wu, Yuanyuan radamson, Henry H. Li, Junfeng Wu, Zhenhua Li, Haiou Yang, Jiecheng Zhao, Chao Wang, Guilei Integrated Circuit Advanced Process R&D Center Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Hefei National Laboratory Hefei230088 China School of Advanced Manufacturing Engineering Hefei University Hefei230601 China Origin Quantum Computing Company Limited Hefei230026 China Research and Development Center of Optoelectronic Hybrid IC Guangdong Greater Bay Area Institute of Integrated Circuit and System Guangzhou510535 China Beijing Superstring Academy of Memory Technology 100176 China

We fabricate an undoped Ge quantum well under a 30 nm relaxed Ge0.8Si0.2 shallow barrier. The bottom barrier contains Ge0.8Si0.2 (650 ℃) followed by Ge0.9Si0.1 (800 ℃) such that variation of Ge content forms a sharp interface that can suppress the threading dislocation density (Tdd) penetrating into the undoped Ge quantum well. The Ge0.8Si0.2 barrier introduces enough in-plane parallel strain (Ε strain -0.41%) in the Ge quantum well. The heterostructure field-effect transistors with a shallow buried channel obtain an ultrahigh two-dimensional hole gas (2dHG) mobility over 2×106 cm2/Vs and a very low percolation of 5.625 × 1010cm−2. A tunable fractional quantum Hall effect at high densities and high magnetic fields has also been observed. This approach defines strained germanium as providing the material basis for tuning the spin-orbit coupling strength for fast and coherent quantum *** Codes 81-05, 81V70 © 2022, CC BY-NC-Nd.

关键词： Germanium

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Artificial Noise Aided Polar Codes for Physical LayerSecurity

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China Communications 2017年第12期14卷 15-24页

作者： Huiqing Bai Liang Jin Ming Yi China National Digital Switching System Engineering and Technological R&D Center Zhengzhou 450002 China

The secrecy rates of the existing practical secrecy coding methods are relative low to satisfy the security requirement of 5 G *** propose an artificial noise(AN) aided polar coding algorithm to improve the secrecy ***,a secrecy coding model based on AN is presented,where the confidential bits of last transmission code block are adopted as AN to inject into the current *** this way,the AN can only be eliminated from the jammed codeword by the legitimate *** the AN is shorter than the codeword,we then develop a suboptimal jamming positions selecting algorithm with the goal of maximizing the bit error rate of the *** and simulation results demonstrate that the proposed algorithm outperforms the random selection method and the method without AN.

关键词： physical layer security polarcodes artificial noise jamming positions se-lection

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Person re-Identification based on data Prior distribution

Person Re-Identification based on Data Prior Distribution

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2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI2018)

作者： Yancheng Wu Hongchang Chen Shaomei Li Chao Gao Hongxin Zhi Yuchao Jiang Yanchuan Wang National Digital Switching System Engineering & Technological R&D Center

In order to solve the problem of insufficient accuracy of the existing person re-identification *** propose a neural network model for identifying pedestrian properties and pedestrian Id. Compared with the existing methods, the model mainly has the following three advantages. First, our network adds extra full connection layer, ensure model migration ability. Second,based on the number of samples in each attribute, the loss function of each attribute has been normalized, avoid number unbalanced among the attributes to effect the identification accuracy. Third, we use the distribution of the attribute data in the prior knowledge, through the number to adjust the weight of each attribute in the loss layer, avoid the number of data sets for each attribute of positive and negative samples uneven impact on recognition. Experimental results show that the algorithm proposed in this paper has high recognition rate, and the rank-1 accuracy rate on dukeMTMC dataset is 72.83%,especially on Market1501 dataset. The rank-1 accuracy rate is up to 86.90%.

关键词： person re-identification data prior distribution weight adjustment deep learning neural network

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Pre-distorted AdO-OFdM for Mutual Interference Eliminating with Low Complexity and Low Latency

Pre-Distorted ADO-OFDM for Mutual Interference Eliminating w...

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IEEE International Conference on Communications Workshops, ICC

作者： Xuan Huang Fang Yang Changyong Pan Jian Song Department of Electronic Engineering Tsinghua University Beijing National Research Center for Information Science and Technology (BNRist) Beijing P. R. China Key Laboratory of Digital TV System of Guangdong Province and Shenzhen City Research Institute of Tsinghua University in Shenzhen Shenzhen China

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

Although the conventional asymmetrically clipped direct current biased optical OFdM (AdO-OFdM) scheme shows a tradeoff of the optical power efficiency and spectrum efficiency compared with the asymmetrically clipped optical OFdM (ACO-OFdM) and dC biased optical OFdM (dCO-OFdM) schemes, it will face the problem of mutual interference, leading to the high complexity, extra latency, and error propagation issues. Thus, in this paper, a pre-distorted AdO-OFdM (PAdO-OFdM) scheme is proposed to eliminate the mutual interference between ACO-OFdM and dCO-OFdM signals, which means the demodulation of ACO-OFdM and dCO-OFdM signals can be processed simultaneously, and the conventional error propagation from the previous subtraction method can be avoided. Moreover, the corresponding characteristic of PAdO-OFdM is also derived, while the formula of probability density function is investigated. Through the complexity analysis, the computational complexity of PAdO-OFdM at the receiver is much lower than that of the conventional AdO-OFdM. Moreover, simulation results show that compared with the conventional AdO-OFdM scheme, the proposed PAdO-OFdM scheme has the advantages of low process latency.

关键词： OFdM Adaptive optics Optical receivers Interference Complexity theory Time-domain analysis

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Space object attitude and position determination based on astrometry and photometric data fusion 8

Space object attitude and position determination based on as...

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8th International Congress of Information and Communication technology, ICICT 2018

作者： Qin, Jidong Peng, Huafeng dang, Tongxin National Digital Switching System Engineering and Technology R and D Center No. 61 Science Road Zhengzhou Henan450001 China National Key Laboratory of Science and Technology on Blind Signal No. 31 Dashi South Road Chengdu Sichuan610041 China

The astronomical observation model, light curve model and solar radiation pressure force model are established to allow estimation of the positions and attitudes of space objects using a fusion of photometric and astronomical data. Existing algorithms for this purpose involve large errors. The proposed method firstly estimates the attitude of the object by using photometric and astronomical data fusion. Secondly, the position of the object is filtered by the estimated attitude. Theory and numerical simulations show the efficiency of the proposed method. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Orbits

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Extracellular polymeric substance-intercalated MXene membrane for osmotic power generation

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Chemical engineering Journal 2025年 515卷

作者： Cao, da-Qi Tang, Kai Yihuo, Guri Jin, Yan Song, Yi-Xuan Wu, Yun-Feng Zhang, Wen-Yu Zhang, Zhongguo Ma, Ming-Guo Song, Li Hao, Xiao-di Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies/Key Laboratory of Urban Stormwater System and Water Environment Beijing University of Civil Engineering and Architecture Beijing100044 China Beijing Municipal Research Institute of Eco-Environmental Protection Beijing100037 China National Engineering Laboratory of Circular Economy Institute of Resources and Environment Beijing Academy of Science and Technology Beijing100095 China Research Center of Biomass Clean Utilization MOE Engineering Research Center of Forestry Biomass Materials and Bioenergy Beijing Key Laboratory of Lignocellulosic Chemistry College of Materials Science and Technology Beijing Forestry University Beijing100083 China National Synchrotron Radiation Laboratory Chinese Academy of Sciences Center for Excellence in Nanoscience University of Science and Technology of China Anhui Hefei230029 China

Extracellular polymeric substances (EPSs) recycled from excess sludge in wastewater treatment plant are biological macromolecules and high value-added materials, because of containing abundant characteristic functional groups. In this work, using EPSs as an intercalation agent between two-dimensional (2d) transition metal carbide and nitride (MXene) nanosheets, EPS-intercalated MXene (EPS-M) membranes were successfully constructed for reverse electrodialysis (rEd) salinity gradient energy harvesting. The interlayer spacing of MXene nanosheets in the EPS-M membranes was constrained effectively at 1.48 ± 0.02 nm regardless of environmental conditions. For the optimized EPS-M membrane with 10 % EPS mass content, the ultimate strength was 71 MPa, which was 6 times higher than that obtained by pristine MXene membrane. The typical groups such as hydroxyl and carboxyl groups present in EPS enhanced the negative surface charge of EPS-M membranes, resulting in high ion permeability and cation selectivity. The enhanced hydrophilicity induced by EPS contributed to the reduced membrane resistance. A model (0.5 M/0.01 M NaCl solutions) was used to investigate the salinity gradient power generation of sea water/secondary effluent of WWTP in rEd process with EPS-M membrane;and the maximum output power density reached 5.89 W m−2, which was 1.86 times higher than that obtained using the pristine MXene membrane. This study opens a novel application of high value-added recycled EPS, which can be considered as a cost-effective biological composite material to improve MXene 2d membrane performance compared to the macromolecules such as nanofiber and cellulose. © 2025 Elsevier B.V.

关键词： Wastewater reclamation

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Context-based Synthetic data for Logo recognition

Context-based Synthetic Data for Logo Recognition

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2018 3rd International Conference on Computer Science and Information engineering(ICCSIE 2018)

作者： Yuchao Jiang Lixin Ji Chao Gao Yancheng Wu National Digital Switching System Engineering & Technological R&D Center

In order to solve the problem of sparse training samples in logo recognition task,a multi-type context-based logo data synthesis algorithm is *** algorithm comprehensively utilizes the local and full context of the logo object and the scene image to guide the synthesis of the logo *** experimental results on the FlickrLogos-32 show that the proposed algorithm can greatly improve the performance of the logo recognition algorithm without relying on additional manual annotation,verify the validity of the synthesis algorithm,and further prove that multi-type context can improve the performance of the object recognition algorithm.

关键词： logo recognition context data synthesis deep learning

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Tailoring the Electronic Metal-Support Interactions in Supported Silver Catalysts through Al modification for Efficient Ethylene Epoxidation

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Angewandte Chemie 2024年第16期136卷

作者： dr. Hongling Yang dr. Ganggang Li dr. Qinggang Liu dr. Haixia Cheng dr. Xiaoxu Wang Prof. Jie Cheng dr. Guoxia Jiang dr. Fenglian Zhang Prof. Zhongshen Zhang Prof. Zhengping Hao National Engineering Laboratory for VOCs Pollution Control Material & Technology Research Center for Environmental Material and Pollution Control Technology University of the Chinese Academy of Sciences Beijing 101408 China Beijing Key Laboratory for VOCs Pollution Prevention and Treatment Technology and Application of Urban Air Beijing Municipal Research Institute of Eco-Environmental Protection Beijing 100037 China Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 China Material Digital R&D Center China Iron & Steel Research Institute Group Beijing 100081 China DP Technology Beijing 100080 China

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