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arXiv 2020年

作者： Wang, Jingyuan Tang, Ke Feng, Kai Lin, Xin Lv, Weifeng Chen, Kun Wang, Fei School of Computer Science and Engineering Beihang University China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University China School of Social Sciences Tsinghua University China State Key Laboratory of Software Development Environment Beihang University China Department of Statistics University of Connecticut United States Center for Population Health University of Connecticut Health Center United States Department of Population Health Sciences Weill Cornell Medical College Cornell University United States

Objectives We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status, and human mobility status. Design A retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted. Setting We use the data for COVID-19 daily symptom-onset cases for 100 Chinese cities and COVID-19 daily confirmed cases for 1,005 U.S. counties. Participants A total of 69,498 cases in China and 740,843 cases in the U.S. are used for calculating the effective reproductive numbers. Primary outcome measures Regression analysis of the impact of temperature and relative humidity on the effective reproductive number (R value). Results Statistically significant negative correlations are found between temperature/relative humidity and the effective reproductive number (R value) in both China and the U.S. Conclusions Higher temperature and higher relative humidity potentially suppress the transmission of COVID-19. Specifically, an increase in temperature by 1 degree Celsius is associated with a reduction in the R value of COVID-19 by 0.026 (95% CI [-0.0395,-0.0125]) in China and by 0.020 (95% CI [-0.0311, -0.0096]) in the U.S.;an increase in relative humidity by 1% is associated with a reduction in the R value by 0.0076 (95% CI [-0.0108,-0.0045]) in China and by 0.0080 (95% CI [-0.0150,-0.0010]) in the U.S. Therefore, the potential impact of temperature/relative humidity on the effective reproductive number alone is not strong enough to stop the pandemic. Copyright © 2020, The Authors. All rights reserved.

关键词： Regression analysis

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An anti-side-channel virtual CPU scheduling algorithm based on leakage evaluation for virtual machine security 7

An anti-side-channel virtual CPU scheduling algorithm based ...

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2017 7th International Workshop on Computer Science and engineering, WCSE 2017

作者： Du, Yuanzhi Du, Xuehui Yang, Zhi State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9789811136719

Infrastructure as a service (IaaS) which is one of the cloud computing's service modes provides virtual machines to clients via shared physical machines. This Service provides convenience for many enterprises, but also introduces new security threats. Many studies have shown that the co-residency side-channel can be used to extract sensitive information by malicious users. Remarkably, Soo-Jin has present a migration-based system called Nomad to mitigating known and future side-channel which is more universal than the traditional method. However, large scale migration will lead to huge network overheads. To solve the above problems, the characteristics of co-residency side-channel on the single physical server is analyzed, based on which two virtual machine schedule algorithms according the leakage model in Nomad were proposed. The simulation results show that the algorithm can mitigate the threats effectively.

关键词： Virtual machine

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A Gene-Inspired Malware Detection Approach

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Journal of Physics: Conference Series 2019年第6期1168卷

作者： Yihang Chen Zheng Shan Fudong Liu Guanghui Liang Binglin Zhao Xingwei Li Meng Qiao State Key of Laboratory of Mathematical Engineering and Advanced Computing 450001 Zhengzhou Henan China

Malware detection is an important topic in cyber security. The research presented in this paper mainly studies on disassembly codes of Windows executable files, learns from the research route of bioinformatics and proposes the concept of software gene. A distance-based method is also proposed to measure the difference of genes and the dimensionality reduction based on a modified clustering algorithm of biological phylogenetic model. Finally a gene-inspired malware detector is constructed using Random Forest model. The software gene extraction proposed in this paper is more flexible and generates less data than the widely-used n-gram method. The detector based on genes also performs better. The clustering-based dimensionality reduction retains more comprehensive features and maintains the interpretability in software analysis area. The detector based on gene-inspired malware detection approach can reach the precision 96.14%, which is better than traditional methods.

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A Parallel Probabilistic Approach to Factorize a Semiprime

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American Journal of Computational Mathematics 2018年第2期8卷 175-183页

作者： Jianhui Li Department of Computer Science Guangdong Neusoft Institute Foshan City Foshan China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

In accordance with the distributive traits of semiprimes’ divisors, the article proposes an approach that can find out the small divisor of a semiprime by parallel computing. The approach incorporates a deterministic search with a probabilistic search, requires less memory and can be implemented on ordinary multicore computers. Experiments show that certain semiprimes of 27 to 46 decimal-bits can be validly factorized with the approach on personal computer in expected time.

关键词： Parallel Probabilistic Integer Factorization Semiprime

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ChanDet: Detection Model for Potential Channel of iOS Applications

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Journal of Physics: Conference Series 2019年第4期1187卷

作者： GuoMiao Zhou Ming Duan Qi Xi Hao Wu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 450000 China

Despite providing iOS the security, comfortable, powerful mobile operating system, Apple has too many restrictions. Many users prefer to jailbreaking the iOS by using jailbreaking tool, which allows them to do more unavailable things on their devices. This behaviour may cause risks toward applications and many researches have focused on application security in various aspects. We find that a legal application (we call it potential channel hereafter) can be hijacked and it acts as a channel between the malware in device and the remote control terminal. In this paper, we introduce a channel model based on five conditions after analysing the entire operation procedure and comparing the similarities and differences of various applications. To approve our argument, we show iOS Messages which meets the five conditions, and demonstrate how to intercept messages, that means, a legal application can be hijacked and become a channel. To eliminate the risks, we propose a solution ChanDet and describe how to test whether an application is a potential channel or not. Finally, we give some protection strategies for applications, and we expect that ChanDet will play a significant role in application security of iOS.

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Intelligent identification of two-dimensional nanostructures by machine-learning optical microscopy

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Nano Research 2018年第12期11卷 6316-6324页

作者： Xiaoyang Lin Zhizhong Si Wenzhi Fu Jianlei Yang Side Guo Yuan Cao Jin Zhang Xinhe Wang Peng Liu Kaili Jiang Weisheng Zhao Fert Beijing Research Institute School ofMicroelectronics & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China Beihang-GoertekJoint Microelectronics Institute Qingdao Research InstituteBeihang UniversityQingdao 266000China Fert Beijing Research Institute School of Computer Science and Engineering & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics & Tsinghua-Foxconn Nanotechnology Research CenterCollaborative Innovation Center of Quantum MatterTsinghua UniversityBeijing 100084China

Two-dimensional (2D) materials and their heterostructures, with wafer-scale synthesis methods and fascinating properties, have attracted significant interest and triggered revolutions in corresponding device applications. However, facile methods to realize accurate, intelligent, and large-area characterizations of these 2D nanostructures are still highly desired. Herein, we report the successful application of machine-learning strategy in the optical identification of 2D nanostructures. The machine-learning optical identification (MOI) method endows optical microscopy with intelligent insight into the characteristic color information of 2D nanostructures in the optical photograph. The experimental results indicate that the MOI method enables accurate, intelligent, and large-area characterizations of graphene, molybdenum disulfide, and their heterostructures, including identifications of the thickness, existence of impurities, and even stacking order. With the convergence of artificial intelligence and nanoscience, this intelligent identification method can certainly promote fundamental research and wafer-scale device applications of 2D nanostructures.

关键词： machine-learning optical identification two-dimensional (2D) material heterostructure artificial intelligence

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Simulation of Passenger Evacuation of High-speed Train Cars

Simulation of Passenger Evacuation of High-speed Train Cars

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Fire Science and Fire Protection engineering (ICFSFPE), Conference on

作者： Shenshi Huang Ruichao Wei Kai Shi Jinxing Hu Shouxiang Lu Liping Lian Institute of Advanced Computing and Digital Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Science Shenzhen China Institute of Advanced Materials Science and Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Science Shenzhen China The Smart City Research Institute of China Electronics Technology Group Corporation Shenzhen China State Key Laboratory of Fire Science University of Science and Technology of China Hefei China School of Urban Planning and Design Peking University Shenzhen China

ISBN: (数字)9781728153223

ISBN: (纸本)9781728153230

This study is to evaluate the passenger evacuation of the high-speed train. Geometry was built up based on current Chinese train type CRH380B, and scenarios were designed according to the current emergency response plans. Simulation runs were performed by Pathfinder and uncertainty of evacuation time was obtained. It is observed that the passenger flow rates in train coaches are generally stable. Passenger transfer time and evacuation time are approximately proportional to passenger attendance rate. However, in some complicated scenarios, it is found that the process of passenger transfer affects the evacuation results a lot. Reasonable passenger transfer scale can maximize the effectiveness of emergency plans. This study provides an evaluation method on the topic of train car evacuation, and future work can be carried out to optimize the design of emergency response.

关键词： passenger evacuation high-speed train monteCarlo simulation high-speed train Evacuation passengers Evacuation Time evaluation method Educational attendance simulating Cars

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Path Sensitive Static Analysis of Taint-Style Vulnerabilities in PHP Code 17

Path Sensitive Static Analysis of Taint-Style Vulnerabilitie...

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2017 17th IEEE International Conference on Communication Technology (ICCT 2017)

作者： Xue-Xiong Yan Qing-Xian Wang Heng-Tai Ma Institute of Software Chinese Academy of Sciences State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (纸本)9781509039456;9781509039449

this paper presents a novel path-sensitive static analysis method for detecting taint-style vulnerabilities in PHP code. The new method includes three key, the first of which is path searching during a basic block, the second is path searching between blocks, and the third is path searching crossing function call. A tool name POSE implements the new method and the testing results show the method is valid for taint-style vulnerabilities in PHP code.

关键词： path-sensitive PHP taint-style vulnerability POSE

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HTTP Tunnel Trojan Detection Model Based on Deep Learning

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Journal of Physics: Conference Series 2019年第4期1187卷

作者： Yubo He Yuefei Zhu Wei Lin State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou450001 China

Aiming at reducing the high False Negative rate of the existing Trojan horse detection method based on behavior, this paper utilized the sequence characteristics of tunnel Trojan communication extracted from the transport layer and the bi-directional recurrent neural network in deep learning to build a HTTP tunnel Trojan detection model. The experimental result showed that the deep learning-based detection model reduced the false positive rate of normal network traffic and improved the Trojan detection rate. We also found that the deep learning-based detection model reduced the feature selecting and data cleaning process of generating samples and improved the easy-using of the HTTP tunnel Trojan detection model.

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Photocurrent imaging of multi-memristive charge density wave switching in two-dimensional 1T-TaS2

arXiv

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arXiv 2020年

作者： Patel, Tarun Okamoto, Junichi Dekker, Tina Yang, Bowen Gao, Jingjing Luo, Xuan Lu, Wenjian Sun, Yuping Tsen, Adam W. Institute for Quantum Computing Department of Physics and Astronomy Department of Electrical and Computer Engineering Department of Chemistry University of Waterloo WaterlooONN2L 3G1 Canada Institute of Physics University of Freiburg FreiburgD-79104 Germany Key Laboratory of Materials Physics Institute of Solid State Physics Chinese Academy of Sciences Hefei230031 China University of Science and Technology of China Hefei230026 China High Magnetic Field Laboratory Chinese Academy of Sciences Hefei230031 China Collaborative Innovation Centre of Advanced Microstructures Nanjing University Nanjing210093 China

Transport studies of atomically thin 1T-TaS2 have demonstrated the presence of intermediate resistance states across the nearly commensurate (NC) to commensurate (C) charge density wave (CDW) transition, which can be further switched electrically. While this presents exciting opportunities for the material in memristor applications, the switching mechanism has remained elusive and could be potentially attributed to the formation of inhomogeneous C and NC domains across the 1T-TaS2 flake. Here, we present simultaneous electrical driving and scanning photocurrent imaging of CDWs in ultrathin 1T-TaS2 using a vertical heterostructure geometry. While micron-sized CDW domains form upon changing temperature, electrically driven transitions result in largely uniform changes, indicating that states of intermediate resistance for the latter likely correspond to true metastable CDW states in between the NC and C phases, which we then explain by a free energy analysis. Additionally, we are able to perform repeatable and bidirectional switching across the multiple CDW states without changing sample temperature, demonstrating that atomically thin 1T-TaS2 can be further used as a robust and reversible multi-memristor material. Copyright © 2020, The Authors. All rights reserved.

关键词： Memristors

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