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SwordDTA： A Dynamic Taint Analysis Tool for Software Vulnerability Detection

Wuhan University Journal of Natural sciences 2016年第1期21卷 10-20页

作者： CAI Jun ZOU Peng MA Jinxin HE Jun Science and Technology on Complex Electronic System Simulation Laboratory Academy of Equipment Beijing 101416China China Information Technology Security Evaluation Center Beijing 100085 China

Software vulnerabilities are the root cause of various information security incidents while dynamic taint analysis is an emerging program analysis technique. In this paper, to maximize the use of the technique to detect software vulnerabilities, we present SwordDTA, a tool that can perform dynamic taint analysis for binaries. This tool is flexible and extensible that it can work with commodity software and hardware. It can be used to detect software vulnerabilities with vulnerability modeling and taint check. We evaluate it with a number of commonly used real-world applications. The experimental results show that SwordDTA is capable of detecting at least four kinds of softavare vulnerabilities including buffer overflow, integer overflow, division by zero and use-after-free, and is applicable for a wide range of software.

关键词： information security software vulnerability detection dynamic taint analysis use-after-free

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Large live biomass carbon losses from droughts in the northern temperate ecosystems during 2016-2022

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Nature communications 2025年第1期16卷 4980页

作者： Xiaojun Li Philippe Ciais Rasmus Fensholt Jérome Chave Stephen Sitch Josep G Canadell Martin Brandt Lei Fan Xiangming Xiao Shengli Tao Huan Wang Clément Albergel Hui Yang Frédéric Frappart Mengjia Wang Ana Bastos Philippe Maisongrande Yuanwei Qin Zanpin Xing Tianxiang Cui Ling Yu Lei He Yi Zheng Xiangzhuo Liu Yuqing Liu Aurelien De Truchis Jean-Pierre Wigneron INRAE Bordeaux Sciences Agro UMR 1391 ISPA Villenave-d'Ornon France. Xiaojun.li@inrae.fr. Faculty of Geosciences and Engineering Southwest Jiaotong University Chengdu 611756 China. Xiaojun.li@inrae.fr. Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA-CNRS-UVSQ Université Paris-Saclay Gif-sur-Yvette France. Department of Geoscience and Natural Resource Management University of Copenhagen Copenhagen Denmark. Centre de Recherche Biodiversité Environnement CNRS IRD Université de Toulouse INPT Toulouse France. Faculty of Environment Science and Economy University of Exeter Exeter UK. Global Carbon Project CSIRO Environment Canberra ACT Australia. Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station School of Geographical Sciences Southwest University Chongqing China. School of Biological Sciences University of Oklahoma Norman OK USA. Institute of Ecology College of Urban and Environmental Sciences State Key Laboratory for Vegetation Structure Function and Construction (VegLab) Peking University Beijing 100871 China. European Space Agency Climate Office ECSAT Didcot UK. INRAE Bordeaux Sciences Agro UMR 1391 ISPA Villenave-d'Ornon France. School of Geoscience and Technology Zhengzhou University Zhengzhou 450001 China. Institute for Earth System Science and Remote Sensing Leipzig University Talstr. 35 Leipzig Germany. Centre National d'Etudes Spatiales Toulouse France. Jiangsu Key Laboratory of Soil and Water Processes in Watershed College of Geography and Remote Sensing Hohai University Nanjing 211000 China. Co-Innovation Center for Sustainable Forestry in Southern China Nanjing Forestry University Nanjing Jiangsu 210042 China. State Key Laboratory of Efficient Utilization of Arable Land in China Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing 100081 China. School of Atmospheric Sciences Southern Marine Science and Engineering Guangdo

Northern ecosystems (≥ 30° N) have been accumulating vegetation biomass carbon in recent decades, but increasing droughts and wildfires threaten this carbon sink. Here, we analyse annual changes in live vegetation biomass in northern ecosystems using low-frequency microwave satellite observations at 25 km spatial resolution from 2010 to 2022. We find that live biomass carbon stocks have undergone a reversal from a positive to a negative trend during the study period with 2016 marking the turning point. During 2016-2022, live biomass carbon stocks decreased at a rate of PgC yr across northern ecosystems, primarily in temperate biomes ( PgC yr). The annual mean gross loss of 4% of live biomass carbon in this region during 2016-2022 reflects high interannual variability, with significant losses associated with droughts and a further drop of PgC in the very dry year of 2022. Our findings highlight the vulnerability of live biomass carbon stocks to emerging climate-induced disturbances in northern ecosystems, challenging the sustainability of the current large terrestrial carbon sink in this key region for the global carbon balance.

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Semileptonic B and Bsdecays involving scalar and axial-vector mesons

arXiv

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arXiv 2018年

作者： Kang, Xian-Wei Luo, Tao Zhang, Yi Dai, Ling-Yun Wang, Chao College of Nuclear Science and Technology Beijing Normal University Beijing100875 China Institute of Modern Physics Fudan University Shanghai200443 China School of Physics and Electronics Hunan University Changsha410082 China Institute for Advanced Simulation Institut für Kernphysik Jülich Center for Hadron Physics Forschungszentrum Jülich JülichD-52425 Germany Center for Ecological and Environmental Sciences Key Laboratory for Space Bioscience and Biotechnology Northwestern Polytechnical University Xi'an710072 China

We report our theoretical calculations on the branching fractions for the semileptonic B and Bsdecays based on the form factors in the covariant light-front quark model. That is, B(Bs) → (P, V, S, A)lνl, where P and V denote the pseudoscalar and vector mesons, respectively, while S denotes the scalar meson with mass above 1 GeV and A the axial-vector meson. The branching fractions for the semileptonic B → P and V modes have been measured very well in experiment and our theoretical values are in good agreement with them. The ones for B → S and A modes are our theoretical predictions. There is little experimental information on the semileptonic Bsdecays although much theoretical effort has been done. In addition, we predict the branching fractions of B → D∗0(2400)lνland Bs→ D∗-s0(2317)lνlas (2.31 ± 0.25) × 10-3and (3.07 ± 0.34) × 10-3, in order, assuming them as the conventional mesons with quark-antiquark configuration. The high luminosity e+e--collider SuperKEKB/Belle-II is running, with the data sample enhanced by a factor of 40 compared to Belle, which will provide huge opportunity for the test of the theoretical predictions and further help understand the inner structure of these scalar and axial-vector mesons, e.g., the glueball content of f0(1710) and the mixing angles for the axial-vector mesons. These decay channels can also be accessed by the LHCb experiment. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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The pencil code, a modular MPI code for partial differential equations and particles: Multipurpose and multiuser-maintained

arXiv

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arXiv 2020年

作者： Brandenburg, Axel Johansen, Anders Bourdin, Philippe A. Dobler, Wolfgang Lyra, Wladimir Rheinhardt, Matthias Bingert, Sven Haugen, Nils Erland L. Mee, Antony Gent, Frederick Yang, Chao-Chin Heinemann, Tobias Dintrans, Boris Mitra, Dhrubaditya Candelaresi, Simon Warnecke, Jörn Käpylä, Petri J. Chatterjee, Piyali Käpylä, Maarit J. Li, Xiang-Yu Krüger, Jonas Aarnes, Jørgen R. Sarson, Graeme R. Oishi, Jeffrey S. Schober, Jennifer Plasson, Raphaël Sandin, Christer Karchniwy, Ewa Rodrigues, Luiz Felippe S. Hubbard, Alexander Guerrero, Gustavo Snodin, Andrew Losada, Illa R. Pekkilä, Johannes Qian, Chengeng Nordita KTH Royal Institute of Technology Stockholm University Sweden Department of Astronomy Stockholm University Sweden McWilliams Center for Cosmology Department of Physics Carnegie Mellon University PA United States GLOBE Institute University of Copenhagen Denmark Space Research Institute Graz Austria Bruker Potsdam Germany New Mexico State University Department of Astronomy Las CrucesNM United States Astroinformatics Department of Computer Science Aalto University Finland Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen Germany SINTEF Energy Research Trondheim Norway Norwegian University of Science and Technology Norway Bank of America Merrill Lynch London United Kingdom School of Mathematics Statistics and Physics Newcastle University United Kingdom University of Nevada Las Vegas United States Niels Bohr International Academy Denmark CINES Montpellier France School of Mathematics and Statistics University of Glasgow United Kingdom Max Planck Institute for Solar System Research Germany Institute for Astrophysics University of Göttinge Germany Indian Institute of Astrophysics Bengaluru India Department of Physics & Astronomy Bates College ME United States Laboratoire d’Astrophysique EPFL Sauverny Switzerland Avignon Université France Institute of Thermal Technology Silesian University of Technology Poland Radboud University Netherlands Department of Astrophysics American Museum of Natural History NY United States Physics Department Universidade Federal de Minas Gerais Belo Horizonte Brazil State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology China

The Pencil Code is a highly modular physics-oriented simulation code that can be adapted to a wide range of applications. It is primarily designed to solve partial differential equations (PDEs) of compressible hydrodynamics and has lots of add-ons ranging from astrophysical magnetohydrodynamics (MHD) (A. Brandenburg and Dobler 2010) to meteorological cloud microphysics (Li et al. 2017) and engineering applications in combustion (Babkovskaia, Haugen, and Brandenburg 2011). Nevertheless, the framework is general and can also be applied to situations not related to hydrodynamics or even PDEs, for example when just the message passing interface or input/output strategies of the code are to be used. The code can also evolve Lagrangian (inertial and noninertial) particles, their coagulation and condensation, as well as their interaction with the fluid. A related module has also been adapted to perform ray tracing and to solve the eikonal equation. The code is being used for Cartesian, cylindrical, and spherical geometries, but further extensions are possible. One can choose between different time stepping schemes and different spatial derivative operators. High-order first and second derivatives are used to deal with weakly compressible turbulent flows. There are also different diffusion operators to allow for both direct numerical simulations (DNS) and various types of large-eddy simulations (LES). © 2020, CC BY.

关键词： Partial differential equations

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Corrigendum to: The TianQin project: current progress on science and technology

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Progress of Theoretical and Experimental Physics 2021年第5期2021卷

作者： Mei, Jianwei Bai, Yan-Zheng Bao, Jiahui Barausse, Enrico Cai, Lin Canuto, Enrico Cao, Bin Chen, Wei-Ming Chen, Yu Ding, Yan-Wei Duan, Hui-Zong Fan, Huimin Feng, Wen-Fan Fu, Honglin Gao, Qing Gao, TianQuan Gong, Yungui Gou, Xingyu Gu, Chao-Zheng Gu, De-Feng He, Zi-Qi Hendry, Martin Hong, Wei Hu, Xin-Chun Hu, Yi-Ming Hu, Yuexin Huang, Shun-Jia Huang, Xiang-Qing Jiang, Qinghua Jiang, Yuan-Ze Jiang, Yun Jiang, Zhen Jin, Hong-Ming Korol, Valeriya Li, Hong-Yin Li, Ming Li, Pengcheng Li, Rongwang Li, Yuqiang Li, Zhu Li, Zhulian Li, Zhu-Xi Liang, Yu-Rong Liang, Zheng-Cheng Liao, Fang-Jie Liu, Qi Liu, Shuai Liu, Yan-Chong Liu, Li Liu, Pei-Bo Liu, Xuhui Liu, Yuan Lu, Xiong-Fei Lu, Yang Lu, Ze-Huang Luo, Yan Luo, Zhi-Cai Milyukov, Vadim Ming, Min Pi, Xiaoyu Qin, Chenggang Qu, Shao-Bo Sesana, Alberto Shao, Chenggang Shi, Changfu Su, Wei Tan, Ding-Yin Tan, Yujie Tan, Zhuangbin Tu, Liang-Cheng Wang, Bin Wang, Cheng-Rui Wang, Fengbin Wang, Guan-Fang Wang, Haitian Wang, Jian Wang, Lijiao Wang, Panpan Wang, Xudong Wang, Yan Wang, Yi-Fan Wei, Ran Wu, Shu-Chao Xiao, Chun-Yu Xu, Xiao-Shi Xue, Chao Yang, Fang-Chao Yang, Liang Yang, Ming-Lin Yang, Shan-Qing Ye, Bobing Yeh, Hsien-Chi Yu, Shenghua Zhai, Dongsheng Zhang, Caishi Zhang, Haitao Zhang, Jian-dong Zhang, Jie Zhang, Lihua Zhang, Xin Zhang, Xuefeng Zhou, Hao Zhou, Ming-Yue Zhou, Ze-Bing Zhu, Dong-Dong Zi, Tie-Guang Luo, Jun TianQin Research Center for Gravitational Physics & School of Physics and Astronomy Sun Yat-sen University (Zhuhai Campus) Zhuhai 519082 P.R. China Centre for Gravitational Experiments School of Physics MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics PGMF Huazhong University of Science and Technology Wuhan 430074 P.R. China SISSA Via Bonomea 265 34136 Trieste Italy and INFN Sezione di Trieste & IFPU – Institute for Fundamental Physics of the Universe Via Beirut 2 34014 Trieste Italy Former Faculty Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy Yunnan Observatories Chinese Academy of Sciences Kunming 650011 China School of Physical Science and Technology Southwest University Chongqing 400715 China Beijing Institute of Control Engineering Beijing 100094 P.R. China SUPA School of Physics and Astronomy University of Glasgow Glasgow G12 8QQ UK DFH Satellite Co. Ltd. Beijing 100094 P.R. China National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing 100049 China School of Physics and Astronomy University of Birmingham Birmingham B15 2TT United Kingdom Center for High Energy Physics & Department of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University No. 5 Yiheyuan Rd Beijing 100871 P.R. China Lomonosov Moscow State University Sternberg Astronomical Institute Moscow 119992 Russia Dipartimento di Fisica “G. Occhialini” Universitá degli Studi Milano Bicocca Piazza della Scienza 3 I-20126 Milano Italy School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai 200240 China Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210023 & School of Astronomy and Space Science University of Science and Technology of China Hefei Anhui 230026 P.R. China Max-Planck-Institut für Gravitationsphysik (Al

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State of the climate in 2019 global oceans

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Bulletin of the American Meteorological Society 2020年第8期101卷 S129-S184页

作者： Lumpkin, Rick Baringer, Molly Bif, Mariana B. Boyer, Tim Bushinsky, Seth M. Carter, Brendan R. Cetinić, Ivona Chambers, Don P. Cheng, Lijing Chiba, Sanai Dai, Minhan Domingues, Catia M. Dong, Shenfu Fassbender, Andrea J. Feely, Richard A. Frajka-Williams, Eleanor Franz, Bryan A. Gilson, John Goni, Gustavo Hamlington, Benjamin D. Hu, Zeng-Zhen Huang, Boyin Ishii, Masayoshi Jevrejeva, Svetlana Johns, William E. Johnson, Gregory C. Johnson, Kenneth S. Kennedy, John Kersalé, Marion Killick, Rachel E. Landschützer, Peter Lankhorst, Matthias Lee, Tong Leuliette, Eric Li, Feili Lindstrom, Eric Locarnini, Ricardo Lozier, Susan Lyman, John M. Marra, John J. Meinen, Christopher S. Merrifield, Mark A. Mitchum, Gary T. Moat, Ben Monselesan, Didier Nerem, R. Steven Perez, Renellys C. Purkey, Sarah G. Rayner, Darren Reagan, James Rome, Nicholas Sanchez-Franks, Alejandra Schmid, Claudia Scott, Joel P. Send, Uwe Siegel, David A. Smeed, David A. Speich, Sabrina Stackhouse, Paul W. Sweet, William Takeshita, Yuichiro Thompson, Philip R. Triñanes, Joaquin A. Visbeck, Martin Volkov, Denis L. Wanninkhof, Rik Weller, Robert A. Westberry, Toby K. Widlansky, Matthew J. Wijffels, Susan E. Wilber, Anne C. Yu, Lisan Yu, Weidong Zhang, Huai-Min Andersen, Andrea Griffin, Jessicca Hammer, Gregory Love-Brotak, S. Elizabeth Misch, Deborah J. Riddle, Deborah B. Veasey, Sara W. NOAA/OAR Atlantic Oceanographic and Meteorological Laboratory MiamiFL United States Monterey Bay Aquarium Research Institute Moss LandingCA United States NOAA/NESDIS National Centers for Environmental Information Silver SpringMD United States University of Hawai'i at Mānoa HonoluluHI United States Joint Institute for the Study of the Atmosphere and Ocean University of Washington NOAA/OAR Pacific Marine Environmental Laboratory SeattleWA United States NASA Goddard Space Flight Center GreenbeltMD United States Universities Space Research Association ColumbiaMD United States College of Marine Science University of South Florida St. PetersburgFL United States International Center for Climate and Environment Sciences Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Japan Agency for Marine-Earth Science and Technology Yokosuka Japan Xiamen University Xiamen China Institute for Marine and Antarctic Studies University of Tasmania Antarctic Climate and Ecosystems Cooperative Research Centre Australian Research Council's Centre of Excellence for Climate System Science HobartTAS Australia NOAA/OAR Pacific Marine Environmental Laboratory SeattleWA United States National Oceanography Centre Southampton United Kingdom Scripps Institution of Oceanography University of California at San Diego San diegoCA United States NASA Jet Propulsion Laboratory PasadenaCA United States NOAA/NCEP Climate Prediction Center College ParkMD United States NOAA/NESDIS National Centers for Environmental Information AshevilleNC United States Department of Atmosphere Ocean and Earth System Modeling Research Meteorological Research Institute Japan Meteorological Agency Tsukuba Japan National Oceanography Centre Liverpool United Kingdom Rosenstiel School of Marine and Atmospheric Science University of Miami MiamiFL United States Met Office Hadley Centre Exeter United Kingdom Cooperative Institute for Marine and Atmospheric Studies University of Miami Miam

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Application of Topology Analysis in Visualization of 2D Dynamic Vector Fields 7

Application of Topology Analysis in Visualization of 2D Dyna...

引用

2016 IEEE 7th International Conference on Software Engineering and Service science

作者： Li Chao Wu Lingda Zhao Bin Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Electronic Equipment Test Center

ISBN: (纸本)9781467399050

Flow is one of the most fundamental physical process in natural *** visualization can give an intuitive view of flow fields and contribute to the observation and analysis of *** flow fields are all dynamic while traditional visualization approaches are not able to reflect the trends of flows or the diversity inside *** on the research of Lagrangian Coherent Structures in Computational Fluid Dynamics,the concept of flow field topology is redefined,two typical 2D dynamic vector fields are selected for topology analysis,and the results are used to optimize the visual effects of geometric *** show that visualization of 2D dynamic vector fields based on topology analysis can extract the coherent structures of flows which are helpful to the comprehension of flow for researchers and description of characteristic difference inside flows.

关键词： flow visualization topology analysis dynamic flow fields vector fields Lagrangian Coherent Structures

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Why torus-unstable solar filaments experience failed eruption?

arXiv

引用

arXiv 2019年

作者： Zhou, Zhenjun Cheng, Xin Zhang, Jie Wang, Yuming Wang, Dong Liu, Lijuan Zhuang, Bin Cui, Jun School of Atmospheric Sciences Sun Yat-sen University Zhuhai Guangdong519000 China CAS Key Laboratory of Solar Activity National Astronomical Observatories Beijing100012 China CAS Center for Excellence in Comparative Planetology China School of Astronomy and Space Science Nanjing University Nanjing210093 China Max Planck Institute for Solar System Research Gottingen37077 Germany Department of Physics and Astronomy George Mason University FairfaxVA22030 United States CAS Key Laboratory of Geospace Environment Department of Geophysics and Planetary Sciences University of Science and Technology of China Hefei Anhui230026 China Department of Mathematics and Physics Anhui Jianzhu University HefeiAnhui230601 China

To investigate the factors that control the success and/or failure of solar eruptions, we study the magnetic field and 3-Dimensional (3D) configuration of 16 filament eruptions during 2010 July - 2013 February. All these events, i.e., erupted but failed to be ejected to become a coronal mass ejection (CME), are failed eruptions with the filament maximum height exceeding 100Mm. The magnetic field of filament source regions is approximated by a potential field extrapolation method. The filament 3D configuration is reconstructed from three vantage points by the observations of STEREO Ahead/Behind and SDO spacecraft. We calculate the decay index at the apex of these failed filaments and find that in 7 cases, their apex decay indexes exceed the theoretical threshold (ncrit = 1.5) of the torus instability. We further determine the orientation change or rotation angle of each filament top during the eruption. Finally, the distribution of these events in the parameter space of rotation angle versus decay index is established. Four distinct regimes in the parameter space are empirically identified. We find that, all the torus-unstable cases (decay index n > 1.5), have a large rotation angles ranging from 50◦ − 130◦. The possible mechanisms leading to the rotation and failed eruption are discussed. These results imply that, besides the torus instability, the rotation motion during the eruption may also play a significant role in solar eruptions. Copyright © 2019, The Authors. All rights reserved.

关键词： Magnetic fields

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Data-centered Computing and Implementation in Web Service 7

Data-Centered Computing and Implementation in Web Service

引用

2016 IEEE 7th International Conference on Software Engineering and Service science

作者： Li Chao Wu Lingda Zhao Bin Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Electronic Equipment Test Center

ISBN: (纸本)9781467399050

Parallel computer architectures bring synchronization problem which bog down the *** the speed gap between CPU and memory keeps growing,making data operation more *** some data-intensive applications,there are similar or coincident child operations in parallel threads,which take unnecessary *** effectively exploit parallelization,reduce the price of data operation,the concept of data-centered computing is *** considering the similarity and relations between data and merging them into unions as threads' input,data-centered computing can eliminate data operation redundancy of data-intensive *** implementation in web service proves that data-centered computing can effectively improve performance.

关键词： data-centered web service data vector parallelization

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A development and application of maintainability evaluation system using immersive VR

引用

IOP Conference Series: Materials science and Engineering 2019年第1期658卷

作者： Meihui Wang Yongxiang Li Chuan Lyu Xi Liu School of Reliability and Systems Engineering Beihang University China State Key Laboratory of Virtual Reality Technology System Beihang University China Technology and Engineering Center for Space Utilization Chinese Academy of Science Beijing China Xi'an Modern Control Technology Research Institute Xi'an 710065 China

Immersing into virtual reality (VR) is a perception of being physically present in a non-physical world. Using immersive VR in maintenance brings great conveniences. For example, using virtual human operating in hazardous environment before the real person, which can prevent being hurt. In this paper, a system of immersive virtual maintenance (IVM) is presented. It is divided into three parts. The first part is Input, which contains the maintenance task and maintenance design. The second part is Method, with which making the virtual human and the users act in a unified way. The key to build IVM system is the interface between the motion capture system and virtual simulation software. The third part is Output, which presents the maintainability evaluation results. This paper focuses on how to build IVM system, the difficulties and solutions also be detailed. At last, a simple application is given

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