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9th International Symposium on Cyberspace Safety and Security, CSS 2017

作者： Zhao, Fan Luo, Xiangyang Gan, Yong Zu, Shuodi Liu, Fenlin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou450001 China

ISBN: (纸本)9783319694702

IP geolocation technology can be used to obtain the real-time locations of target Internet hosts especially mobile computers, which can help law enforcement to quickly get the criminal evidence or arrest criminals. Among existing numerous geolocation methods, SLG (Street-Level Geolocation) method can achieve geolocation result with relative higher precision for a target host. However, the geolocation accuracy will be significantly reduced once the common routers that play an important role in geolocation are anonymous, which often happens in paths detection. To solve this problem, this paper proposes an IP geolocation algorithm base on local delay distribution similarity. Firstly, the target’s location at city-level granularity is obtained based on traditional SLG method. Secondly, the landmarks connected with the target by common routers are found out by topology analysis. The target’s local delay between the nearest common router and the target is gained by multi-measurement and calculation, so do the landmarks’. Thirdly, their local delay distribution is obtained by statistical analysis. Lastly, the landmark whose local delay distribution is the most similar with the target’s is selected as the estimated location of the target. Experimental results show that the proposed algorithm obviously improves the geolocation accuracy compared with traditional SLG when the common routers are anonymous. © 2017, Springer International Publishing AG.

关键词： Routers

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Extended Very-High-Energy Gamma-Ray Emission Surrounding PSR J0622+3749 Observed by LHAASO-KM2A

引用

Physical Review Letters 2021年第24期126卷 241103-241103页

作者： F. Aharonian Q. An Axikegu L. X. Bai Y. X. Bai Y. W. Bao D. Bastieri X. J. Bi Y. J. Bi H. Cai J. T. Cai Z. Cao J. Chang J. F. Chang X. C. Chang B. M. Chen J. Chen L. Chen M. J. Chen M. L. Chen Q. H. Chen S. H. Chen S. Z. Chen T. L. Chen X. L. Chen Y. Chen N. Cheng Y. D. Cheng S. W. Cui X. H. Cui Y. D. Cui B. Z. Dai H. L. Dai Z. G. Dai Danzengluobu D. della Volpe B. D’Ettorre Piazzoli X. J. Dong J. H. Fan Y. Z. Fan Z. X. Fan J. Fang K. Fang C. F. Feng L. Feng S. H. Feng Y. L. Feng B. Gao C. D. Gao Q. Gao W. Gao M. M. Ge L. S. Geng G. H. Gong Q. B. Gou M. H. Gu J. G. Guo X. L. Guo Y. Q. Guo Y. Y. Guo Y. A. Han H. H. He H. N. He J. C. He S. L. He X. B. He Y. He M. Heller Y. K. Hor C. Hou X. Hou H. B. Hu S. Hu S. C. Hu X. J. Hu D. H. Huang Q. L. Huang W. H. Huang X. T. Huang Z. C. Huang F. Ji X. L. Ji H. Y. Jia K. Jiang Z. J. Jiang C. Jin D. Kuleshov K. Levochkin B. B. Li C. Li F. Li H. B. Li H. C. Li H. Y. Li J. Li K. Li W. L. Li X. Li X. R. Li Y. Li Y. Z. Li Z. Li E. W. Liang Y. F. Liang S. J. Lin B. Liu C. Liu D. Liu H. Liu H. D. Liu J. Liu J. L. Liu J. S. Liu J. Y. Liu M. Y. Liu R. Y. Liu S. M. Liu W. Liu Y. N. Liu Z. X. Liu W. J. Long R. Lu H. K. Lv B. Q. Ma L. L. Ma X. H. Ma J. R. Mao A. Masood W. Mitthumsiri T. Montaruli Y. C. Nan B. Y. Pang P. Pattarakijwanich Z. Y. Pei M. Y. Qi D. Ruffolo V. Rulev A. Sáiz L. Shao O. Shchegolev X. D. Sheng J. R. Shi H. C. Song Yu. V. Stenkin V. Stepanov Q. N. Sun X. N. Sun Z. B. Sun P. H. T. Tam Z. B. Tang W. W. Tian B. D. Wang C. Wang H. Wang H. G. Wang J. C. Wang J. S. Wang L. P. Wang L. Y. Wang R. N. Wang W. Wang X. G. Wang X. J. Wang X. Y. Wang Y. D. Wang Y. J. Wang Y. P. Wang Z. Wang Z. H. Wang Z. X. Wang D. M. Wei J. J. Wei Y. J. Wei T. Wen C. Y. Wu H. R. Wu S. Wu W. X. Wu X. F. Wu S. Q. Xi J. Xia J. J. Xia G. M. Xiang G. Xiao H. B. Xiao G. G. Xin Y. L. Xin Y. Xing D. L. Xu R. X. Xu L. Xue D. H. Yan C. W. Yang F. F. Yang J. Y. Yang L. L. Yang M. J. Yang R. Z. Yang S. B. Yang Y. H. Yao Z. G. Yao Y. M. Ye L. Q. Yin N. Yin X. H. You Z. Y. You Y. H. Yu Q. Yuan H. D. Zeng T. Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 69029 Heidelberg Germany State Key Laboratory of Particle Detection and Electronics 100049 Beijing China University of Science and Technology of China 230026 Hefei Anhui China School of Physical Science and Technology & School of Information Science and Technology Southwest Jiaotong University 610031 Chengdu Sichuan China College of Physics Sichuan University 610065 Chengdu Sichuan China Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences 100049 Beijing China TIANFU Cosmic Ray Research Center Chengdu 610000 Sichuan China School of Astronomy and Space Science Nanjing University 210023 Nanjing Jiangsu China Center for Astrophysics Guangzhou University 510006 Guangzhou Guangdong China University of Chinese Academy of Sciences 100049 Beijing China School of Physics and Technology Wuhan University 430072 Wuhan Hubei China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain Observatory Chinese Academy of Sciences 210023 Nanjing Jiangsu China Hebei Normal University 050024 Shijiazhuang Hebei China Key Laboratory of Cosmic Rays (Tibet University) Ministry of Education 850000 Lhasa Tibet China National Astronomical Observatories Chinese Academy of Sciences 100101 Beijing China School of Physics and Astronomy & School of Physics (Guangzhou) Sun Yat-sen University 519082 Zhuhai Guangdong China School of Physics and Astronomy Yunnan University 650091 Kunming Yunnan China Département de Physique Nucléaire et Corpusculaire Faculté de Sciences Université de Genève 24 Quai Ernest Ansermet 1211 Geneva Switzerland Dipartimento di Fisica dell’Università di Napoli “Federico II ” Complesso Universitario di Monte Sant’Angelo via Cinthia 80126 Napoli Italy Institute of Frontier and Interdisciplinary Science Shandong Universi

We report the discovery of an extended very-high-energy (VHE) gamma-ray source around the location of the middle-aged (207.8 kyr) pulsar PSR J0622+3749 with the Large High-Altitude Air Shower Observatory (LHAASO). The source is detected with a significance of 8.2σ for E>25 TeV assuming a Gaussian template. The best-fit location is (right ascension, declination) =(95.47°±0.11°,37.92°±0.09°), and the extension is 0.40°±0.07°. The energy spectrum can be described by a power-law spectrum with an index of −2.92±0.17stat±0.02sys. No clear extended multiwavelength counterpart of the LHAASO source has been found from the radio to sub-TeV bands. The LHAASO observations are consistent with the scenario that VHE electrons escaped from the pulsar, diffused in the interstellar medium, and scattered the interstellar radiation field. If interpreted as the pulsar halo scenario, the diffusion coefficient, inferred for electrons with median energies of ∼160 TeV, is consistent with those obtained from the extended halos around Geminga and Monogem and much smaller than that derived from cosmic ray secondaries. The LHAASO discovery of this source thus likely enriches the class of so-called pulsar halos and confirms that high-energy particles generally diffuse very slowly in the disturbed medium around pulsars.

关键词： Cosmic ray acceleration Cosmic ray propagation Cosmic ray sources Gamma ray astronomy

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Entanglement entropy, quantum fluctuations, and thermal entropy in topological phases

arXiv

引用

arXiv 2019年

作者： Hu, Yuting Wan, Yidun State Key Laboratory of Surface Physics Fudan University Shanghai200433 China Department of Physics Center for Field Theory and Particle Physics Fudan University Shanghai200433 China Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China Department of Physics Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China CAS Key Laboratory of Microscale Magnetic Resonance Department of Modern Physics University of Science and Technology of China Hefei Anhui230026 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China

Entanglement entropy in topologically ordered matter phases has been computed extensively using various methods. In this paper, we study the entanglement entropy of topological phases in two-spaces from a new perspective-the perspective of quasiparticle fluctuations. In this picture, the entanglement spectrum of a topologically ordered system is identified with the spectrum of quasiparticle fluctuations of the system, and the entanglement entropy measures the maximal quasiparticle fluctuations on the EB. As a consequence, entanglement entropy corresponds to the thermal entropy of the quasiparticles at infinite temperature on the entanglement boundary. We corroborates our results with explicit computation in the quantum double model with/without boundaries. We then systematically construct the reduced density matrices of the quantum double model on generic 2-surfaces with boundaries. Copyright © 2019, The Authors. All rights reserved.

关键词： Entropy

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ShenTu: Processing Multi-Trillion Edge Graphs on Millions of Cores in Seconds 18

ShenTu: Processing Multi-Trillion Edge Graphs on Millions of...

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ACM/IEEE International Conference for High Performance computing, Networking, Storage, and Analysis

作者： Heng Lin Xiaowei Zhu Bowen Yu Xiongchao Tang Wei Xue Wenguang Chen Lufei Zhang Torsten Hoefler Xiaosong Ma Xin Liu Weimin Zheng Jingfang Xu Tsinghua University and Fma Technology Tsinghua University and Qatar Computing Research Institute Tsinghua University State Key Laboratory of Mathematical Engineering and Advanced Computing ETH Zurich Qatar Computing Research Institute National Research Centre of Parallel Computer Engineering and Technology Beijing Sogou Technology Development Co. Ltd

ISBN: (纸本)9781538683859

Graphs are an important abstraction used in many scientific fields. With the magnitude of graph-structured data constantly increasing, effective data analytics requires efficient and scalable graph processing systems. Although HPC systems have long been used for scientific computing, people have only recently started to assess their potential for graph processing, a workload with inherent load imbalance, lack of locality, and access irregularity. We propose ShenTu ⁸ the first general-purpose graph processing framework that can efficiently utilize an entire Petascale system to process multi-trillion edge graphs in seconds. ShenTu embodies four key innovations: hardware specialization, supernode routing, on-chip sorting, and degree-aware messaging, which together enable its unprecedented performance and scalability. It can traverse a record-size 70-trillion-edge graph in seconds. Furthermore, ShenTu enables the processing of a spam detection problem on a 12-trillion edge Internet graph, making it possible to identify trustworthy and spam webpages directly at the fine-grained page level.

关键词： Random access memory Servers Data analysis Supercomputers Task analysis Computer architecture Optimization supercomputer task analysis random access machine Computer Architecture Servers Data analysis core Core samples Scalability Edge of a figure or solid Unsolicited electronic mail

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Enhancing Traffic Performance of Scale-free Networks by Employing Hybrid-information-based Queuing Strategy

Enhancing Traffic Performance of Scale-free Networks by Empl...

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2018 International Conference on Mechanical,Electrical,Electronic engineering & Science(MEEES 2018)

作者： Yulin Lu Fenlin Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute

ISBN: (纸本)9781510868755

Traffic congestion problem has become a bottleneck restricting the development of modern transportation systems, and accordingly the networked traffic system has drawn lots of researcher's attention. To enhance transportation efficiency on scale-free networks, we proposed a hybridinformation-based(HIB) queuing strategy, where one packet's priority is related to its available transmission resource in the surplus path and current distance to destination. Numerical results show that the HIB queuing strategy perform much better than the traditional first-in-first-out(FIFO) queuing strategy in the congestion state, and the average travelling time, the rate of waiting time to travelling time Pwt and the packet arrived rate which can reflect transportation efficiency are improved remarkably. Our work should be valuable and helpful for research on networked traffic systems.

关键词： Scale-free network queuing strategy networked traffic system

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SDNGuardian: Secure your REST NBIs with API-grained permission checking system 12th

SDNGuardian: Secure your REST NBIs with API-grained permissi...

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12th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2016

作者： Ren, Kailei Wei, Qiang Wu, Zehui Wang, Qingxian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China China National Digital Switching System Engineering and Technological Research Center Zhengzhou450001 China

ISBN: (纸本)9783319596075

REST NBI (REST Northbound API) is the mainstream NBI implementation method of current SDN controllers, but none of them has achieved authorization management, which leads to serious privilege abuse problems. In this paper, we propose SDNGuardian, an API-grained permission checking method based SDN REST NBI security defense system that achieves API level REST NBI authorization and effectively solves the problem of privilege abuse. Comparing with current authorization enhanced SDN controllers, our system is able to defend against attacks via REST NBIs within the same permission group. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2017.

关键词： Computers

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Exotic Cooper pairing in multi-orbital models of Sr2RuO4

arXiv

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arXiv 2019年

作者： Huang, Wen Zhou, Yi Yao, Hong Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Institute for Advanced Study Tsinghua University Beijing 100084 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen 518005 China Beijing National Laboratory for Condensed Matter Physics & Institute of Physics Chinese Academy of Sciences Beijing 100190 China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Low Dimensional Quantum Physics Tsinghua University Beijing 100084 China

The unconventional superconductivity in Sr2RuO4 continues to defy a unified interpretation. In this paper, we focus on some novel aspects of its superconducting pairing by exploiting the orbital degree of freedom in this material. The multi-orbital nature, combined with the symmetry of the orbitals involved, leads to a plethora of exotic Cooper pairings not accessible in single-orbital systems. In the presence of finite spin-orbit coupling (SOC), spin-singlet and spin-triplet pairings are entangled, thus the spin susceptibility is generically expected to be suppressed below Tc. Essential physics is illustrated first using a two-orbital model with dxz- and dyzorbitals. We classify the gap functions according to the underlying lattice symmetries, analyze the effective theories of a few representative pairings, and make connections to Sr2RuO4 in the course. For completeness, the classification is generalized to the three-orbital model involving the dxy-orbital as well. The orbital-basis approach distinguishes from the itinerant-band description for Sr2RuO4, and hence offers an alternative perspective to investigate its enigmatic superconducting state. Copyright © 2019, The Authors. All rights reserved.

关键词： Strontium compounds

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VBD-MF:A Block Device to Monitor the File System of Virtual Machine

VBD-MF:A Block Device to Monitor the File System of Virtual ...

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2017 International Conference on Mathematics, Modelling and Simulation Technologies and Applications（MMSTA 2017)

作者： Rui LOU Lie-hui JIANG Yi-sen WANG State Key Laboratory of Mathematical Engineering and Advanced Computing

The virtual block device is the data carrier of virtual machine(VM) and user information,while the file system is the ultimate goal of many *** proposed a security device named virtual block device mapping to file(VBD-MF) that can translate block-level operations into file-level ones by building a mapping from blocks to ***-MF could provide an out-of-VM way to monitor the file system with no modification on the code of virtual machine monitor(VMM)and guest OS,and it also provided other security tools and methods with direct interface to operate the file *** implemented a prototype on Linux and *** evaluation shows that VBD-MF has a better capability of monitoring with some loss on performance of read and *** to the traditional monitoring of host-based file system,VBD-MF has a better hidden and safety property.

关键词： Virtualization Virtual block device File system monitoring File access control

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Intrusion Detection Algorithm Based on Convolutional Neural Network

Intrusion Detection Algorithm Based on Convolutional Neural ...

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2017 4th International Conference on engineering Technology and Application (ICETA 2017)

作者： Yuchen Liu Shengli Liu Xing Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing

A periodic load balancing method is proposed according to the load imbalance of network server in a clustered system of high concurrency. It is divided into different load periods based on the load condition of server node. Corresponding load balancing strategy is adopted for each period that the strategy of fast select is used in the period of small load while the server node with stable response time is first adopted in the period of large load. Periodic load strategy avoids the load imbalance caused by the single load strategy. It can be known from the experimental comparison that the improved periodic load balancing strategy is superior to the load balancing strategy of weighted least connection.

关键词： intrusion detection system deep learning convolution neural network

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Cross-Platform Embedded-System Dynamic Information Acquisition Method

Cross-Platform Embedded-System Dynamic Information Acquisiti...

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2017 2nd International Conference on Computer engineering,Information Science and Internet Technology(CII 2017)

作者： YISEN WANG JING JING JIANJING SHEN WEIYU DONG State Key Laboratory of Mathematical Engineering and Advanced Computing

With the widespread application of embedded devices,embedded software vulnerabilities and oriented attacks to embedded system are also *** being wellknown,the hardware architecture of the embedded devices is heterogeneous,and the software stacks on them are customizable and flexible as *** dynamic information extraction and analysis technologies have been successfully used for general platform in vulnerability mining,malicious code detection and so on,its usage on embedded system lags behind *** paper provides(1) a CrossPlatform-Dynamic Instrumentation Framework,which,by leveraging an extensible intermediate code module and a semantic constraint database,decouples the instrumentation plugins from underlying hardware and OS;(2) a set of instrumentation interfaces which may be implemented by plugins to extract runtime state of various code granularity;(3) ability of system semantic introspection to extract processes and modules information(system semantic views),by using system attribute description files and abstract state extraction *** with TEMU and DECAF,our method shows more advantages in performance of abstract state extraction,and reducing the time and memory overhead.

关键词： Cross-Platform Embedded-System Dynamic Information Acquisition Method

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