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Research on General Permutation Encryption Module Based on Chaos Theory

International Journal of Technology Management 2014年第7期 58-61页

作者： Sun Wenjie State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 102206

Replacement and substitution encryption are two basic types of encryption historically. The classical encryption algorithm has been compromised now, but they still can play special role for modem cryptnlogy. For example, in digital image encryption system, substitution can disrupt the original order of the images and eliminate the correlation of image information which not only can realize security of images, but also can resist intentional attack and destruction of clipping and noise. And transposition transformation is introduced into the design of block ciphers. The substitution has the feature of high efficiency and resistance, which makes it meet the specific requirements of encryption. So substitution cypher can be applied to modern encryption system.

关键词： chaos theory general substitution encryption.

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Analysis of user influence using user behavior and random walk

Analysis of user influence using user behavior and random wa...

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作者： Wang, Meng Zhou, Gang Chen, Jun Yu State Key Laboratory of Mathematic Engineering and Advanced Computing Zhengzhou 450001 China State Key Laboratory of Software Development Environment Beijing 100191 China

ISBN: (纸本)9783038351399

To improve the effect of user influence predicting in microblog, this paper proposed a new method of user influence analysis named UBRWR, based on user interactive behavior and the random walk method. UBRWR firstly used the behaviors between users to reconstruct the network topology, and then an improved PageRank algorithm was applied to predict the user influence, with quantized individual attribute features. The experimental in Weiba show that the UBRWR algorithm outperforms the PageRank algorithm and method using fans count in terms of ranking accuracy. © (2014) Trans Tech Publications, Switzerland.

关键词： Social networking (online)

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Efficient Electrocatalytic Reduction of CO2by Nitrogen‐Doped Nanoporous Carbon/Carbon Nanotube Membranes: A Step Towards the Electrochemical CO2Refinery

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Angewandte Chemie 2017年第27期129卷

作者： Hong Wang Jia Jia Pengfei Song Qiang Wang Debao Li Shixiong Min Chenxi Qian Lu Wang Young Feng Li Chun Ma Tom Wu Jiayin Yuan Markus Antonietti Geoffrey A. Ozin Materials Chemistry and Nanochemistry Research Group Solar Fuels Cluster Centre for Inorganic and Polymeric Nanomaterials Departments of Chemistry Chemical Engineering and Applied Chemistry and Electrical and Computing Engineering University of Toronto 80 St. George Street Toronto Ontario M5S3H6 Canada College of Chemistry and Chemical Engineering Northwest Normal University Lanzhou 730070 China State Key Laboratory of Coal Conversion Institute of Coal Chemistry the Chinese Academy of Sciences Taiyuan 030001 China School of Chemistry and Chemical Engineering Beifang University of Nationalities Yinchuan Ningxia China Physical Science and Engineering Division King Abdullah University of Science & Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Department of colloidal chemistry Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemistry and Biomolecular Science and Center for Advanced Materials Processing Clarkson University Potsdam NY 13699 USA

Herein we introduce a straightforward, low cost, scalable, and technologically relevant method to manufacture an all‐carbon, electroactive, nitrogen‐doped nanoporous‐carbon/carbon‐nanotube composite membrane, dubbed “HNCM/CNT”. The membrane is demonstrated to function as a binder‐free, high‐performance gas diffusion electrode for the electrocatalytic reduction of CO 2 to formate. The Faradaic efficiency (FE) for the production of formate is 81 %. Furthermore, the robust structural and electrochemical properties of the membrane endow it with excellent long‐term stability.

关键词： CO2-Reduktion Hierarchischer Kohlenstoff Kohlenstoff-Nanoröhren Membranen Stickstoffdotierung

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Typical universal entanglers

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Science China(Physics,Mechanics & Astronomy) 2014年第10期57卷 1913-1917页

作者： WANG Feng LUO MingXing CHEN XiuBo YANG YiXian WANG XiaoJun College of mathematical sciences Dezhou University Information Security and National Computing Grid Laboratory Southwest Jiaotong University State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications School of Electronic Engineering Dublin City University

A universal entangler is a very powerful fault-tolerant entangling device for generating quantum entanglements from any joint states. Our paper aims to address the construction of universal entanglers. We prove that universal entanglers may be obtained from random unitary gates according to the Harr measure. The success probability is close to 1 for large system spaces. This result represents the typical density of entanglement subspaces in large state spaces. It also partially solves an open problem of universal bipartite entanglers and is explained by some experiment simulations.

关键词： universal bipartite entangler random unitary gate entanglement

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Static-Dynamic Control Flow Integrity

Static-Dynamic Control Flow Integrity

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

作者： Xiaolong Liu Qiang Wei Ziwei Ye State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479978724

CCFIR (Compact Control Flow Integrity and Randomization) has low performance overhead as an exploit mitigation, but it is hard to mitigate exploits by hijacking virtual function pointer, which are emerging in recent years. Because of the polymorphism of virtual functions, CCFIR can't determine a unique spring board stub. We propose a new practical protection method named SDCFI (Static-Dynamic Control Flow Integrity), whose goal is to protect virtual function pointers from hijacking. Taking advantage of static analysis result of IDA and PIN dynamic instrumentation, SDCFI improves the accuracy of the disassembly and identifies indirect call target addresses at runtime. We observe that there are always double 0x90 bytes for alignment in the gap between two functions, which can be substituted by a two-byte checkmark. Using the checkmark, SDCFI can validate a target more simply and faster than traditional CFI. Based on these approaches, SDCFI can prevent control-flow hijacking attacks including ROP, because the gadgets of stack pivot can't pass the validation. We evaluate our prototype implementation for Internet Explorer8 browser on Windows XP, which faces serious security threats since April 8, 2014. SDCFI protects most indirect call instructions in ***, and has low runtime overhead of 1.48% on average. Experiments on real-world exploits for IE8 browser also show that SDCFI can effectively mitigate exploits by hijacking virtual function pointer.

关键词： Runtime Browsers Registers Instruments Security Internet Accuracy

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Detecting Information Leakage Based on Subtracting Matrix

Detecting Information Leakage Based on Subtracting Matrix

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International Symposium on Computational Intelligence and Design, ISCID

作者： Zongda Han Binglong Li State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479970063

This paper proposes an approach of detecting information leakage based on subtracting matrix to determine files when and where were leaked from file system. Due to the low efficiency of detecting leak operation and the rapid growth of the size of storage device make it difficult to locate the place where the leakage occurred. We build a time matrix model by file system access timestamps in a suspicious information system. Then three kinds of two-value (0-1) matrices are generated based on the similarity of access timestamps in the time matrix. The behavior of information leakage can be finally determined by comparing the degree of the similarity in these matrices. The experimental results show the method can detect information leakage more quickly and accurately.

关键词： File systems Measurement Probability distribution Forensics Time complexity Drives Real-time systems

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Method of multi-feature fusion based on SVM and D-S evidence theory in Trojan detection

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Computer Modelling and New Technologies 2014年第6期18卷 304-310页

作者： Liu, Shengli Gao, Xiang Xu, Pan Liu, Long State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

According to the low accuracy and low stability of the single feature-based method for Trojan detection, a multi-feature fusion method based on SVM and DS evidence theory is proposed. First, three types of flow features such as session, upload data of session/download data of session, distribution of data packet size are extracted from the data stream. Then the SVM classification results of each single feature are used as evidences to construct the basic probability assigned (BPA). Finally, we use DS combination rule of evidence to achieve the decision fusion and give the final detection results by fusion results. The experimental results showed that the accuracy of multi-feature fusion method was 97.48% which has good performance on accuracy and stability compared with the single feature method in Trojan detection.

关键词： Support vector machines

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Shape Evolution in Neutron-Rich Krypton Isotopes Beyond N=60: First Spectroscopy of Kr98,100

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Physical Review Letters 2017年第24期118卷 242501-242501页

作者： F. Flavigny P. Doornenbal A. Obertelli J.-P. Delaroche M. Girod J. Libert T. R. Rodriguez G. Authelet H. Baba D. Calvet F. Château S. Chen A. Corsi A. Delbart J.-M. Gheller A. Giganon A. Gillibert V. Lapoux T. Motobayashi M. Niikura N. Paul J.-Y. Roussé H. Sakurai C. Santamaria D. Steppenbeck R. Taniuchi T. Uesaka T. Ando T. Arici A. Blazhev F. Browne A. Bruce R. Carroll L. X. Chung M. L. Cortés M. Dewald B. Ding S. Franchoo M. Górska A. Gottardo A. Jungclaus J. Lee M. Lettmann B. D. Linh J. Liu Z. Liu C. Lizarazo S. Momiyama K. Moschner S. Nagamine N. Nakatsuka C. Nita C. R. Nobs L. Olivier R. Orlandi Z. Patel Zs. Podolyák M. Rudigier T. Saito C. Shand P. A. Söderström I. Stefan V. Vaquero V. Werner K. Wimmer Z. Xu Institut de Physique Nucléaire CNRS-IN2P3 Université Paris-Sud Université Paris-Saclay 91406 Orsay Cedex France RIKEN Nishina Center 2-1 Hirosawa Wako Saitama 351-0198 Japan IRFU CEA Université Paris-Saclay F-91191 Gif-sur-Yvette France CEA DAM DIF F-91297 Arpajon France Departamento de Física Teórica Universidad Autónoma de Madrid E-28049 Madrid Spain School of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University Beijing 100871 People’s Republic of China Department of Physics University of Tokyo 7-3-1 Hongo Bunkyo Tokyo 113-0033 Japan GSI Helmholtzzentrum für Schwerionenforschung GmbH 64291 Darmstadt Germany Institut für Kernphysik Universität zu Köln 50937 Köln Germany School of Computing Engineering and Mathematics University of Brighton Brighton BN2 4GJ United Kingdom Department of Physics University of Surrey Guildford GU2 7XH United Kingdom Institute for Nuclear Science and Technique VINATOM 179 Hoang Quoc Viet Cau Giay Hanoi Vietnam Institut für Kernphysik Technische Universität Darmstadt 64289 Darmstadt Germany Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 People’s Republic of China Instituto de Estructura de la Materia CSIC 28006 Madrid Spain Department of Physics University of Hong Kong Pokfulam Hong Kong Department of Physics Faculty of Science Kyoto University Kyoto 606-8502 Japan Horia Hulubei National Institute of Physics and Nuclear Engineering (IFIN-HH) RO-077125 Bucharest Romania Advanced Science Research Center Japan Atomic Energy Agency Tokai Ibaraki 319-1195 Japan

We report on the first γ-ray spectroscopy of low-lying states in neutron-rich Kr98,100 isotopes obtained from Rb99,101(p,2p) reactions at ∼220 MeV/nucleon. A reduction of the 21+ state energies beyond N=60 demonstrates a significant increase of deformation, shifted in neutron number compared to the sharper transition observed in strontium and zirconium isotopes. state-of-the-art beyond-mean-field calculations using the Gogny D1S interaction predict level energies in good agreement with experimental results. The identification of a low-lying (02+, 22+) state in Kr98 provides the first experimental evidence of a competing configuration at low energy in neutron-rich krypton isotopes consistent with the oblate-prolate shape coexistence picture suggested by theory.

关键词： Collective models Direct reactions Energy levels & level densities Nuclear reactions Nuclear structure & decays 90 ≤ A ≤ 149 Radiation detectors Radioactive beams

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Leveraging Markov chain and optimal mutation strategy for smart fuzzing

Leveraging Markov chain and optimal mutation strategy for sm...

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ICINS 2014 - 2014 International Conference on Information and Network Security

作者： Yongji Ouyang Zehui Wu Qing Mu Qingxian Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781510804289

Fuzz testing is an important way of vulnerability discovery, however, the existing fuzzers based on symbolic execution and others have inherent shortcomings like needing more computing resource, in-depth analysis and so on. To solve above problems, this paper presents a smart fuzzing method based on Markov chain. Firstly, this method optimizes the testing input sample to get the minimal sample set. Secondly, this method records program execution information by using instrument, and makes a Markov model about state. Finally, this method uses Markov chain to detect the change of execution path, and leads tester to choose better samples to mutate. Meanwhile, we analyse mutation strategies in depth for better triggering exception. Experimental data shows that the presented method can help fuzzer to generate effective test samples. We discovers 51 vulnerabilities in software like WPS, along with the code coverage increases of nearly 49% comparing with zzuf and the average exception discovery rate increase nearly 9 times comparing with MiniFuzz.

关键词： Markov chain Mutation strategies Smart fuzzing Vulnerability discovery Markov chain PILLING execution path WPS

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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