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arXiv 2019年

作者： Zhang, Hekai Gong, Jibing Teng, Zhiyong Wang, Dan Wang, Hongfei Du, Linfeng Bhuiyan, Zakirul Alam School of Information Science and Engineering Yanshan University Qinhuangdao066004 China Key Lab for Computer Virtual Technology and System Integration Yanshan University Qinhuangdao066004 China School of Computer Science and Engineering Beihang University Beijing100191 China Shenyuan Honors College Beihang University Beijing100191 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214000 China Department of Computer and Information Sciences Fordham University

User-based attribute information, such as age and gender, is usually considered as user privacy information. It is difficult for enterprises to obtain user-based privacy attribute information. However, user-based privacy attribute information has a wide range of applications in personalized services, user behavior analysis and other aspects. Although many scholars have made achievements in user attribute prediction and other related fields, there are still two main problems that impede further improvement on the accuracy of classification: (1) Traditional machine learning classification merely takes each object as a single individual, ignoring the relationship between them;(2) At present, the popular Heterogeneous Path-Mine Information Network only considers whether the user has a relationship with the attributes of other nodes, rather than the degree of correlation of the attributes. It employs a linear regression model to fit the weight of meta-path, which is highly sensitive to outliers. To solve the above two problems, this paper advances the HetPathMine model and puts forward TPathMine model. With applying the number of clicks of attributes under each node to express the user's emotional preference information, optimizations of the solution of meta-path weight are also presented. Based on meta-path in heterogeneous information networks, the new model integrates all relationships among objects into isomorphic relationships of classified objects. Matrix is used to realize the knowledge dissemination of category knowledge among isomorphic objects. The experimental results show that: (1) the prediction of user attributes based on heterogeneous information networks can achieve higher accuracy than traditional machine learning classification methods;(2) TPathMine model based on the number of clicks is more accurate in classifying users of different age groups, and the weight of each meta-path is consistent with human intuition or the real world situation. Copyright ©

关键词： Forecasting

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Design and Implementation of Variable Precision Algorithm for Transcendental Functions

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Journal of Physics: Conference Series 2019年第1期1325卷

作者： Hao Jiangwei Xu Jinchen Guo Shaozhong Xia Yuanyuan Liu Dan State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

mathematical function is an essential part of numerical program, and it is also the key factor that affects the precision and performance of a program. In the design of mathematical functions, in order to satisfy most application scenarios, it is necessary to correctly round and cover the calculated interval as much as possible. But in certain applications, correct rounding and full coverage of definition domain may not be required. Therefore, mathematical functions can be customized according to application requirements to avoid precision waste as well as improve performance. However, manually implementing mathematical functions is a time-consuming and error-prone task. Tools like Metalibm is designed to automatically generate mathematical function code, which is difficult to take advantage of all the mathematical properties of a function and results in the generated code performing slowly than the corresponding mathematical library function. A method of generating variable precision code based on mathematical properties is proposed for the transcendental function in this work. Experiments showed the performance of the proposed method is comparable to Glibc mathematical function.

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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 practical and aggressive loop fission technique 18th

A practical and aggressive loop fission technique

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18th International Conference on Algorithms and Architectures for Parallel Processing - ICA3PP 2018 Collocated Workshops: ICA3PP 2018 Workshop on Intelligent Algorithms for Large-scale Complex Optimization Problems, IALCOP 2018, ICA3PP 2018 Workshop on Security and Privacy in Data Processing, SPDP 2018

作者： Zhao, Bo Li, Yingying Han, Lin Zhao, Jie Gao, Wei Zhao, Rongcai Yahyapour, Ramin Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen Göttingen37077 Germany State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China French Institute for Research in Computer Science and Automation Rocquencourt France

ISBN: (纸本)9783030052331

Loop fission is an effective loop optimization for exploiting fine-grained parallelism. Currently, loop fission is widely used in existing parallelizing compilers. To fully exploit the optimization, we proposed and implemented a practical and aggressive loop fission technique. First, we present an aggressive dependence graph pruning method to eliminate pseudo dependences caused by the conservativeness of compilers. Second, we introduce a topological sort based loop fission algorithm to distribute loops correctly. Finally, to enhance the performance of the generated programs which have potential of loop fission, we propose an advanced loop fission strategy. We evaluate these techniques and algorithms in the experimental section. © Springer Nature Switzerland AG 2018.

关键词： Program compilers

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SARF: A Spark Based Recommendation Framework in the Cloud

SARF: A Spark Based Recommendation Framework in the Cloud

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International Conference on advanced Cloud and Big Data (CBD)

作者： Jieyao Zhou Yifei Lu Ka Bian Lei Qian School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi China

With the development of the IT industry, the information resources and services that people come into contact with have been growing. The sharing and interaction of these two types of information has led to further growth in data resulting in the advent of the era of big data. However, due to the complexity of information, such as low utilization, the confusion, and disorder, it will be a great challenge for service providers to offer customers services with high quality and accurate quality. The recommendation system is a solution adopted by e-marketers for such problems. This paper proposes a SPARK-based recommendation algorithm called SARF. The SARF first reads the original data from the HDFS and uses Spark to yield the datasets. Then, by using these datasets, the optimal recommended model is generated through iterative process. Finally, we gain the results which are recommended to the user by the optimal model. The final experimental results show that our SARF framework can effectively reduce the recommendation error and solve the problem of cold start.

关键词： Collaboration Filtering Sparks Big Data Matrix decomposition Training Filtering algorithms

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2020 roadmap on two-dimensional materials for energy storage and conversion

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Chinese Chemical Letters 2019年第12期30卷 2053-2064页

作者： Baolin Xu Shihan Qi Mengmeng Jin Xiaoyi Cai Linfei Lai Zhouting Sun Xiaogang Han Zifeng Lin Hui Shao Peng Peng Zhonghua Xiang Johan E.ten Elshof Rou Tan Chen Liu Zhaoxi Zhang Xiaochuan Duan Jianmin Ma School of Physics and Electronics Hunan UniversityChangsha 410082China Key Laboratory of Flexible Electronics&Institute of Advanced Materials(IAM) Jiangsu National Synergistic Innovation Center for Advanced Materials(SICAM)Nanjing Tech UniversityNanjing 210009China School of Physical and Mathematical Sciences Nanyang Technological UniversitySingapore 637371Singapore State Key Lab of Electrical Insulation and Power Equipment Xi'an Jiaotong UniversityXi'an 710049China College of Materials Science and Engineering Sichuan UniversityChengdu 610065China UniversitéPaul Sabatier Laboratoire CIRIMAT UMR CNRS 5085Toulouse 31062France Réseau sur le Stockage Electrochimique de l’Energie(RS2E) CNRS 3459AmiensFrance State Key Laboratory of Organic–Inorganic Composites Beijing University of Chemical TechnologyBeijing 100029China University of Twente AE Enschede 7500the Netherlands Pen-Tung Sah Institute of Micro-Nano Science and Technology Xiamen UniversityXiamen 361005China Key Laboratory of Materials Processing and Mold(Zhengzhou University) Ministry of EducationZhengzhou UniversityZhengzhou 450002China

Energy storage and conversion have attained significant intere st owing to its important applications that reduce CO2 emission through employing green *** promising technologies are included metalair batteries,metal-sulfur batteries,metal-ion batteries,electrochemical capacitors,***,metal elements are involved with lithium,sodium,and *** these devices,electrode materials are of importance to obtain high ***-dimensional(2 D) materials are a large kind of layered structured materials with promising future as energy storage materials,which include graphene,black phosporu s,MXenes,covalent organic frameworks(COFs),2 D oxides,2 D chalcogenides,and *** progress has been achieved to go ahead for 2 D materials in energy storage and *** researchers will join in this research *** the background,it has motivated us to contribute with a roadmap on ’two-dimensional materials for energy storage and conversion.

关键词： Graphene Black phosphorus MXenes Covalent organic frameworks Oxides Chalcogenides Metal-air batteries Metal-sulfur batteries Metal-ion batteries Electrochemical capacitors

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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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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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