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Dynamic evolution of collective emotions in social networks: a case study of Sina weibo

Science China(Information Sciences) 2013年第7期56卷 150-167页

作者： XIONG XiaoBing ZHOU Gang HUANG YongZhong CHEN HaiYong XU Ke State Key Laboratory of Mathematical Engineering and Advanced Computing State Key Laboratory of Software Development Environment Beihang University

Emotion is a fundamental object of human existence and determined by a complex set of factors. With the rapid development of online social networks (OSNs), more and more people would like to express their emotion in OSNs, which provides wonderful opportunities to gain insight into how and why individual emotion is evolved in social network. In this paper, we focus on emotion dynamics in OSNs, and try to recognize the evolving process of collective emotions. As a basis of this research, we first construct a corpus and build an emotion classifier based on Bayes theory, and some effective strategies (entropy and salience) are introduced to improve the performance of our classifier, with which we can classify any Chinese tweet into a particular emotion with an accuracy as high as 82%. By analyzing the collective emotions in our sample networks in detail, we get some interesting findings, including a phenomenon of emotion synchronization between friends in OSNs, which offers good evidence for that human emotion can be spread from one person to another. Furthermore, we find that the number of friends has strong correlation with individual emotion. Based on those useful findings, we present a dynamic evolution model of collective emotions, in which both self-evolving process and mutual-evolving process are considered. To this end, extensive simulations on both real and artificial networks have been done to estimate the parameters of our emotion dynamic model, and we find that mutual-evolution plays a more important role than self-evolution in the distribution of collective emotions. As an application of our emotion dynamic model, we design an efficient strategy to control the collective emotions of the whole network by selecting seed users according to k-core rather than degree.

关键词： online social network emotion classifier emotion spread emotion dynamic model emotion controlling

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A Malware Threat Decision Model Based on Dynamic Multi-Source Data Acquisition

A Malware Threat Decision Model Based on Dynamic Multi-Sourc...

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2014 International Conference on Computer,Network Security and Communication engineering(CNSCE 2014)

作者： Di SUN Jian-min PANG Chao DAI State Key Laboratory of Mathematical Engineering and Advanced Technological Research Center

With the continuous advent of malware, in order to improve the utilization ratio of resources and deal with the threat of malware effectively, in this paper, we provide a malware threats decision model for multilevel emergency response and early warning system. Different from traditional analyzing and decision-making, we establish a dynamic multi-source data acquisition framework of malicious behavior, which is used to collect the host behavior of malware, then make a quantitative analysis of the collected information, establish the vector of evaluation, and establish the Threat Decision Model based on Dynamic Multi-source data Acquisition DAMD, which used to assess the threat of malware. This paper solves the problem of lack of malware threats decision of multilevel emergency response and early warning system, at the same time;it provides valuable reference and basis for further research of malware threats analysis.

关键词： Malware threat Multi-source data acquisition Evaluation vector Threat decision model

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A Thread-Aware Adaptive Data Prefetcher

A Thread-Aware Adaptive Data Prefetcher

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IEEE International Conference on Computer Design: VLSI in Computers and Processors, (ICCD)

作者： Jiyang Yu Peng Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Department of Information Science and Electronic Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781479964932

Most processors employ hardware data prefetching to hide memory access latencies. However the prefetching requests from different threads on a multi-core processor can cause severe interference with prefetching and/or demand requests of others. The data prefetching can lead to significant performance degradation due to shared resource contention on shared memory multi-core systems. This paper proposes a thread-aware data prefetching mechanism based on low-overhead run-time information to tune prefetching modes and aggressiveness, mitigating the resource contention in the memory system. Our solution has two new components: 1) a filtering mechanism that informs the hardware about which prefetching requests can cause shared data invalidation and should be discarded, and 2) a self-tuning prefetcher that uses run-time feedback to adjust each thread's data prefetching mode and arguments. On a set of parallel benchmarks, our thread-aware data prefetching mechanisms improve the overall performance of 64-core system by 11% and reduce the energy-delay product by 13% over a multi-mode prefetch baseline system with a two level cache organization and a conventional MESI-based directory coherence protocol. We compare our approach to the feedback directed prefetching (FDP) technique and find that it provides better performance on multi-core systems, while reducing the energy delay product.

关键词： Prefetching Accuracy Measurement Engines Hardware

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Cryptanalysis of an Implementation of TTM Cryptosystems Based on Q2k-module

Cryptanalysis of an Implementation of TTM Cryptosystems Base...

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2013 International Conference on advanced Computer Science and Electronics Information(ICACSEI 2013)

作者： Hongwei Tao State Key Laboratory of Mathematical Engineering and Advanced Computing ZhengzhouChina China National Digital Switching System Engineering and Technological Research Center

TTM cryptosystems proposed by *** are very fast due to the properties of tame automorphisms and small finite fields. The success of the first implementation of this system relies on the construction of Q 8 -module. Unfortunately, Jintai Ding and Timonthy Hodges have defeated it by decomposing function Q 8 into terms S, T 1 , T 2 . Later Chunyen Chou, D. J. Guan and Jiunming Chen gave a systematic way to construct Q 2 k -module. In this paper, we describe an implementation of TTM cryptosystems based on this Q 2 k -module, then with method similar to Ding-Hodges, we break this implementation. For any given ciphertext, we can derive the corresponding plaintext within O((n+r) 6 ) F 2 m -operations, where n+r is the number of ciphertext variables.

关键词： Multivariate public key cryptosystems, TTM, high order linearization equations

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Improving guide-based vulnerability detection with hybrid symbolic execution

Improving guide-based vulnerability detection with hybrid sy...

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International Conference on Systems and Informatics (ICSAI)

作者： Yongji Ouyang Shuai Zeng Chao Yang Qingxian Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479954599

Symbolic Execution is a key and useful technology in current refinement software test, but there still exists some problems such as space explosion. In order to mitigate this problem and improve the ability for detecting vulnerabilities, this paper presents the improving guide-based vulnerability detection with hybrid symbolic execution, which aims to test suspicious objects. This method conducts path traversal with a hybrid symbolic execution model, which alternates between dynamic and static symbolic execution, and verify whether it is vulnerability through summarizing the characteristics of vulnerabilities and generating a constraint expression. Experimental result shows that this method can successfully detect errors in 56 seconds, which exceeds any other modern mainstream symbolic execution tools including CUTE, KLEE, S2E and Cloud9. Compared with CUTE, this method alleviates the problem of space explosion. Besides, this papaer successfully verifies the vulnerabilities of OpenSSL and some other commonly used software.

关键词： Testing Algorithm design and analysis Software Explosions Refining Context Hybrid power systems

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Program Crash Analysis Based on Taint Analysis

Program Crash Analysis Based on Taint Analysis

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International Conference on P2P, Parallel, Grid, Cloud and Internet computing (3PGCIC)

作者： Zhang Puhan Wu Jianxiong Wang Xin Zehui Wu China Information Technology Security Evaluation Center Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479978724

Software exception analysis can not only improve software stability before putting into commercial, but also could optimize the priority of patch updates subsequently. We propose a more practical software exception analysis approach based on taint analysis, from the view that whether an exception of the software can be exploited by an attacker. It first identifies the type of exceptions, then do taint analysis on the trace that between the program entry point to exception point, and recording taint information of memory set and registers. It finally gives the result by integrating the above recording and the subsequent instructions analysis. We implement this approach to our exception analysis framework ExpTracer, and do the evaluation with some exploitable/un-exploitable exceptions which shows that our approach is more accurate in identifying exceptions compared with current tools.

关键词： Computer crashes Registers Software Optimization Algorithm design and analysis Instruments Personnel

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Cryptographic Algorithms Analysis Technology Research Based on Functions Signature Recognition

Cryptographic Algorithms Analysis Technology Research Based ...

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International Conference on Computational Intelligence and Security

作者： Rui Chang Liehui Jiang Hui Shu Hongqi He MEAC State Key Laboratory of Mathematic Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479974351

At present, the research on software reverse engineering pays more attention to cryptographic algorithms recognition and analysis. Malwares are becoming increasingly stealthy, more and more malwares are using cryptographic algorithms to protect themselves from being analyzed. There are no mature theory and tools to analyze cryptographic algorithms from the executable files effectively and exactly. In order to solve the problem efficiently, this paper discusses functions signature recognition technology, creating the cryptographic algorithms library including more than 3000 signature characteristics, and explores a way to recognize cryptographic algorithms based on functions signature recognition. Finally, the experiment results indicate the method is effective and feasible.

关键词： Libraries Algorithm design and analysis Feature extraction Software algorithms Character recognition Ciphers

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Parallelized Race Detection Based on GPU Architecture

Parallelized Race Detection Based on GPU Architecture

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10th Annual Conference of advanced Computer Architecture, ACA 2014

作者： Dai, Zhuofang Zhang, Zheng Wang, Haojun Li, Yi Zhang, Weihua Software School Fudan University Shanghai China Shanghai Key Laboratory of Data Science Fudan University Shanghai China Parallel Processing Institute Fudan University Shanghai 201203 China State Key Laboratory of Mathematic Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9783662444900

In order to harness abundant hardware resources, parallel programming has become a necessity in multicore era. However, parallel programs are prone to concurrency bugs, especially data races. Even worse, current software tools always suffer from both large runtime overheads and poor scalability, while most of hardware supports for race detection are not available in parallel programming. Therefore, it has been a challenge that how to introduce a practical and fast race detection tools. Nowadays, GPUs with massive parallel computation resources have become one of the most popular hardware platforms. Hence, the prevalence of GPU architectures has opened an opportunity of accelerating data race detection. In this paper, we first have a deeply analysis on data race detection algorithms like happens-before and observe that these algorithms have very good computation and data parallelism. Based on the observation, we propose Grace, a software approach that leverages massive parallelism computation units of GPU architectures to accelerate data race detection. Grace deploys detection, the most computation intensive workload, on GPU to fully utilize the computation resource in GPU. Moreover, Grace leverages coarse-grained pipeline parallelism and data parallelism through exploiting the computation resource in multi-core CPUs to further improve performance. Experimental results show that Grace is fast and scalable. It achieves over 80x speedup compared to the sequential version even under a 128-thread configuration. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Graphics processing unit

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Chip waveforms attribute recognition model research and design

Chip waveforms attribute recognition model research and desi...

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2014 International Conference on Manufacturing Technology and Electronics Applications, ICMTEA 2014

作者： Xiao, Da Feng, Jing Zhu, Yue Fei Peng, Fei Lan, Jing Hong Computer network department ZhengZhou Information Science University ZhengZhouHeNan China State Key Laboratory of Mathematical Engineering and Advanced Computing ZhengZhouHeNan China Urumqi General Hospital of PLA.Urumqi 7 Jianxue Street Xinjiang Uygur Zizhiqu Jinshui District ZhengZhouHeNan China

ISBN: (纸本)9783038353287

For hardware Trojan detection process is difficult to effectively extract the exact equivalent logic function of the target chip logic function is proposed based on contradictory truth table equivalent extraction scheme and key Enabling technologies. Designed to target chip waveforms attribute recognition model, through the analysis of multiple properties of the model and proof, the work is given waveform attribute recognition model parameter setting principles. © (2014) Trans Tech Publications, Switzerland.

关键词： Malware

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Dense matter with eXTP

arXiv

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arXiv 2018年

作者： Watts, Anna L. Yu, Wenfei Poutanen, Juri Zhang, Shu Bhattacharyya, Sudip Bogdanov, Slavko Ji, Long Patruno, Alessandro Riley, Thomas E. Bakala, Pavel Baykal, Altan Bernardini, Federico Bombaci, Ignazio Brown, Edward Cavecchi, Yuri Chakrabarty, Deepto Chenevez, Jérôme Degenaar, Nathalie Santo, Melania Del Salvo, Tiziana Di Doroshenko, Victor Falanga, Maurizio Ferdman, Robert D. Feroci, Marco Gambino, Angelo F. Ge, MingYu Greif, Svenja K. Guillot, Sebastien Gungor, Can Hartmann, Dieter H. Hebeler, Kai Heger, Alexander Homan, Jeroen Iaria, Rosario in’t Zand, Jean Kargaltsev, Oleg Kurkela, Aleksi Lai, Xiaoyu Li, Ang Li, XiangDong Li, Zhaosheng Linares, Manuel Lu, FangJun Mahmoodifar, Simin Méndez, Mariano Miller, M. Coleman Morsink, Sharon Nättilä, Joonas Possenti, Andrea Prescod-Weinstein, Chanda Qu, JinLu Riggio, Alessandro Salmi, Tuomo Sanna, Andrea Santangelo, Andrea Schatz, Hendrik Schwenk, Achim Song, LiMing Šrámková, Eva Stappers, Benjamin Stiele, Holger Strohmayer, Tod Tews, Ingo Tolos, Laura Török, Gabriel Tsang, David Urbanec, Martin Vacchi, Andrea Xu, RenXin Xu, Ypeng Zane, Silvia Zhang, Guobao Zhang, ShuangNan Zhang, Wenda Zheng, ShiJie Zhou, Xia Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands Shanghai Astronomical Observatory Shanghai200030 China Tuorla Observatory Department of Physics and Astronomy University of Turku Väisäläntie 20 PiikkiöFIN-21500 Finland Nordita KTH Royal Institute of Technology Stockholm University Roslagstullsbacken 23 StockholmSE-10691 Sweden Institute of High Energy Physics CAS Beijing100049 China Tata Institute of Fundamental Research Mumbai400005 India Columbia Astrophysics Laboratory Columbia University 550 West 120th Street New YorkNY10027 United States Institut für Astronomie und Astrophysik Tübingen Universität Tübingen Sand 1 TübingenD-72076 Germany Leiden Observatory Leiden University PO Box 9513 Leiden2300 RA Netherlands Research Center for Computational Physics and Data Processing Silesian University in Opava Bezrucovo nam. 13 OpavaCZ-74601 Czech Republic Physics Department Middle East Technical University Ankara06531 Turkey INAF Osservatorio Astronomico di Roma Via Frascati 33 Monteporzio CatoneI-00078 Italy New York University Abu Dhabi PO Box 129188 Abu Dhabi United Arab Emirates Dipartimento di Fisica Enrico Fermi University of Pisa PisaI-56127 Italy INFN Italian National Institute for Nuclear Physics Pisa Section Pisa56127 Italy Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Department of Astrophysical Sciences Princeton University Peyton Hall PrincetonNJ08544 United States Mathematical Sciences and STAG Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom MIT Kavli Institute for Astrophysics and Space Research CambridgeMA02139 United States DTU Space Technical University of Denmark Elektrovej 327-328 Kgs Lyngby2800 Denmark INAF/IASF Palermo via Ugo La Malfa 153 PalermoI-90146 Italy Universita degli Studi di Palermo Dipartimento di Fisica e Chimica via Archira 36 Palermo90123 Italy

In this White Paper we present the potential of the Enhanced X-ray Timing and Polarimetry (eXTP) mission for determining the nature of dense matter;neutron star cores host an extreme density regime which cannot be replicated in a terrestrial laboratory. The tightest statistical constraints on the dense matter equation of state will come from pulse profile modelling of accretion-powered pulsars, burst oscillation sources, and rotation-powered pulsars. Additional constraints will derive from spin measurements, burst spectra, and properties of the accretion flows in the vicinity of the neutron star. Under development by an international Consortium led by the Institute of High Energy Physics of the Chinese Academy of Science, the eXTP mission is expected to be launched in the mid 2020s. Copyright © 2018, The Authors. All rights reserved.

关键词： Pulsars

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