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4th Multidisciplinary International Social Networks Conference, MISNC 2017

作者： Wu, Tsu-Yang Lin, Yueshan Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Wu, Mu-En Fujian Provincial Key Laboratory of Big Data Mining and Applications National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology Fuzhou350118 China Harbin Institute of Technology Shenzhen Graduate School Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Department of Mathematic Soochow University Taipei Taiwan

ISBN: (纸本)9781450348812

Auditing mechanisms are received much attentions from researchers due to the developing of cloud storage. Recently, Wang et al. proposed a privacy preserving public auditing mechanism for shared cloud data with supporting group dynamic. However, we find some security flaws in their mechanism. In this paper, a forgery attack and a data corruption attack are proposed to demonstrate the insecurity. Then, we propose a modified scheme based on their mechanism. The security analysis is demonstrated that our improvement can resist the mentioned two attacks. © 2017 ACM.

关键词： Cloud storage

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New constructions of q-variable 1-resilient rotation symmetric functions over Fp

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Science China(Information Sciences) 2016年第7期59卷 240-242页

作者： Jiao DU Shaojing FU Longjiang QU Chao LI Shanqi PANG College of Science National University of Defense Technology School of Mathematics and Information Science Henan Normal University Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control Henan Normal University College of Computer Science National University of Defense Technology

Dear editor,Motivated by Refs.[1–10],we devote to constructing a class of q-variable 1-resilient rotation symmetric functions（RSFs）over the finite field F;={0,1,...,p-1}in this *** this letter,let p and q be differ... 详细信息

关键词： over New constructions of q-variable 1-resilient rotation symmetric functions over F_p

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A parse tree-based NoSQL injection attacks detection mechanism

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Journal of Information Hiding and Multimedia Signal Processing 2017年第4期8卷 916-928页

作者： Ma, Hong Wu, Tsu-Yang Chen, Min Yang, Rong-Hua Pan, Jeng-Shyang Fujian Provincial Key Laboratory of Big Data Mining and Applications National Demonstration Center for Experimental Electronic Information and Electrical Technology Education College of Information Science and Engineering Fujian University of Technology No3 Xueyuan Road University Town Fuzhou350118 China

Nowadays, many IT giants such as Facebook, Google, and Amazon adopt non-relational database (NoSQL, Not only SQL) technologies to manage their systems. Although these kind of database technologies have made outstanding contributions to the development of the IT industry, it also exposed some security risks such as SQL injection attacks. Up to now, there are many solutions to counter SQL injection attacks in SQL databases. However, there exist few approaches to counter injection attacks in NoSQL databases. So, how to design an effective NoSQL injection attacks detecting mechanism becomes a subject worthy of in-depth study. In this paper, we based on semantic structure analysis of execution statements to propose a detection approach using parse tree. Based on this approach, we focus on MongoDB to propose a dynamic NoSQL injection attacks detection mechanism in the web environment called DND. It does not require access to or modifying source codes, rewriting source codes with extra libraries, or complex assisted devices. Finally, the experimental results are shown that DND has high accuracy rates, low false positive rates, and low response time. © 2017, Ubiquitous International. All rights reserved.

关键词： Semantics

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Comments on recent proposed Cui Et Al.’s KASE and Lu Et Al.’s dIBEKS schemes

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Journal of Information Hiding and Multimedia Signal Processing 2018年第1期9卷 162-169页

作者： Wu, Tsu-Yang Meng, Chao Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No3 Xueyuan Road University Town Fuzhou350118 China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology No3 Xueyuan Road University Town Fuzhou350118 China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School HIT Campus of University Town of Shenzhen Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Searchable encryption is a cryptographic primitive used to search an encrypted data in cloud storage. Recently, Cui et al. and Lu et al. proposed two variants of secure searchable encryption schemes, respectively. However, based on our best knowledge we demonstrate that the both schemes are insecure against different types of off-line keyword guessing attacks in this paper. Finally, we make discussions about searchable encryption schemes whether resisting off-line keyword guessing attacks. © 2018, Ubiquitous International. All rights reserved.

关键词： Cloud storage

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Efficient ontology meta-matching based on metamodel-assisted compact MOEA/D

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Journal of Information Hiding and Multimedia Signal Processing 2017年第5期8卷 1021-1028页

作者： Xue, Xingsi Tsai, Pei-Wei Feng, Guirong College of Information Science and Engineering Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No.3 Xueyuan Road University Town Minhou FuzhouFujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications National Demostration Center for Experimental Electronic Information and Electronical Technology Education Fujian University of Technology No.3 Xueyuan Road University Town Minhou FuzhouFujian350118 China School of Electrical Engineering Xidian University No.2 South Taibai Road XianShaanxi710071 China

In this paper we propose an improved Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), i.e. metamodel-assisted compact MOEA/D, to efficiently solve the ontology meta-matching problem. Particularly, we dedicate to determine the optimal ontology alignment by tuning four different basic similarity measures, i.e. Syntactic Measure, Linguistic Measure, Taxonomy-based Measure and Instance-based Measure. The experimental results show that our proposal can significantly improve the efficiency of MOEA/D based approach without sacrificing the quality of the ontology alignment, and the results obtained by our approach are better than state-of-the-art ontology matching systems. © 2017, Ubiquitous International. All rights reserved.

关键词： Ontology

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Critical behavior of a stochastic anisotropic Bak-Sneppen model

arXiv

引用

arXiv 2017年

作者： Han, Jihui Li, Wei Su, Zhu Deng, Webing School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China Complexity Science Center Central China Normal University Wuhan China National Engineering Laboratory for Technology Big Data Applications in Education Central China Normal University Wuhan China

In this paper we present our study on the critical behavior of a stochastic anisotropic Bak-Sneppen (saBS) model, in which a parameter α is introduced to describe the interaction strength among nearest species. We estimate the threshold fitness fc and the critical exponent τr by numerically integrating a master equation for the distribution of avalanche spatial sizes. Other critical exponents are then evaluated from previously known scaling relations. The numerical results are in good agreement with the counterparts yielded by the Monte Carlo simulations. Our results indicate that all saBS models with nonzero interaction strength exhibit self-organized criticality, and fall into the same universality class, by sharing the universal critical exponents. Copyright © 2017, The Authors. All rights reserved.

关键词： Anisotropy

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Security analysis of Rhee et al.’s public encryption with keyword search schemes: A review

Journal of Network Intelligence

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Journal of Network Intelligence 2018年第1期3卷 16-25页

作者： Wu, Tsu-Yang Chen, Chien-Ming Wang, King-Hang Pan, Jeng-Shyang Zheng, Weimin Chu, Shu-Chuan Roddick, John F. Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No33 Xuefunan Road University Town Fuzhou350118 China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology No33 Xuefunan Road University Town Fuzhou350118 China School of Computer Science and Technology Harbin Institute of Technology Shenzhen HIT Campus of University Town of Shenzhen Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong College of Science and Engineering Flinders University Sturt Rd Bedford Park SA5042 Australia

Public key encryption with keyword search (PEKS) provides an efficient way to search encrypted files. Recently, Rhee et al. contributed their knowledge to propose several literatures in this research area. In this paper, we first review their three famous schemes and then summarize the security weaknesses of the three schemes. Finally, we discuss the security problems about Rhee et al. like scheme and remain an open problem. © 2018, Taiwan Ubiquitous Information. All rights reserved.

关键词： Search engines

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A Novel Control Algorithm for Interaction Between Surface Waves and A Permeable Floating Structure

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China Ocean engineering 2016年第2期30卷 161-176页

作者： Pei-Wei TSAI A.ALSAEDI T.HAYAT Cheng-Wu CHEN College of information Science and Engineering Fujian University of TechnologyFuzhou 350118China Fujian Provincial Key Laboratory of Big Data Mining and Applications(Fujian University of Technology) Fuzhou 350118China Nonlinear Analysis and Applied Mathematics(NAAM)Research Group King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics Quaid-I-Azam UniversityIslamabad 44000Pakistan Department of Maritime Information and Technology National Kaohsiung Marine UniversityKaohsiung 80543China Faculty of Engineering King Abdulaziz UniversityJeddah 21589Saudi Arabia

An analytical solution is undertaken to describe the wave-induced flow field and the surge motion of a permeable platform structure with fuzzy controllers in an oceanic *** the design procedure of the controller,a parallel distributed compensation（PDC） scheme is utilized to construct a global fuzzy logic controller by blending all local state feedback controllers.A stability analysis is carried out for a real structure system by using Lyapunov *** corresponding boundary value problems are then incorporated into scattering and radiation *** are analytically solved,based on separation of variables,to obtain series solutions in terms of the harmonic incident wave motion and surge *** dependence of the wave-induced flow field and its resonant frequency on wave characteristics and structure properties including platform width,thickness and mass has been thus drawn with a parametric *** which mathematical models are applied for the wave-induced displacement of the surge motion.A nonlinearly inverted pendulum system is employed to demonstrate that the controller tuned by swarm intelligence method can not only stabilize the nonlinear system,but has the robustness against external disturbance.

关键词： fuzzy Lyapunov function Takagi?Sugeno form swarm intelligence algorithm

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Investigate the relationship between learners’ social characteristics and academic achievements

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Journal of Physics: Conference Series 2018年第1期1113卷 012021-012021页

作者： Liu, Zhi Zhu, Su Liu, Sannyuya Sun, Jianwen Kang, Lingyun National Engineering Research Center for E-Learning Central China Normal University Wuhan P. R. China National Engineering Laboratory for Technology of Big Data Applications in Education Central China Normal University Wuhan P. R. China National Engineering Research Center for E-Learning Central China Normal University Wuhan P. R. China

The social interaction behaviors of group learning have obtained a lot of attention from researches, and social network analysis (SNA) plays a critical role in exploring collective interactive patterns. In this paper, we investigated the experimental data from the discussion forum of “Discourse analysis” course in a university learning platform. By calculating learners social characteristics, we explored the relationship between social characteristics and academic achievements, as well as the differences between various achieving learners. The results show that there exist strong positive correlations between most social characteristics and academic achievements, and the majority of high-achieving learners are located at the core position of the network. In addition, the high-achieving learners exhibited more active participations in discussions and received more posts compared with middle- and low-achieving learners.

关键词：

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Robust frequent directions with application in online learning

arXiv

引用

arXiv 2017年

作者： Luo, Luo Chen, Cheng Zhang, Zhihua Li, Wu-Jun Zhang, Tong Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China National Engineering Lab for Big Data Analysis and Applications School of Mathematical Sciences Peking University 5 Yiheyuan Road Beijing100871 China National Key Laboratory for Novel Software Technology Collaborative Innovation Center of Novel Software Technology and Industrialization Department of Computer Science and Technology Nanjing University 163 Xianlin Avenue Nanjing210023 China Computer Science & Mathematics Hong Kong University of Science and Technology Hong Kong

The frequent directions (FD) technique is a deterministic approach for online sketching that has many applications in machine learning. The conventional FD is a heuristic procedure that often outputs rank deficient matrices. To overcome the rank deficiency problem, we propose a new sketching strategy called robust frequent directions (RFD) by introducing a regularization term. RFD can be derived from an optimization problem. It updates the sketch matrix and the regularization term adaptively and jointly. RFD reduces the approximation error of FD without increasing the computational cost. We also apply RFD to online learning and propose an effective hyperparameter-free online Newton algorithm. We derive a regret bound for our online Newton algorithm based on RFD, which guarantees the robustness of the algorithm. The experimental studies demonstrate that the proposed method outperforms state-of-the-art second order online learning algorithms. Copyright © 2017, The Authors. All rights reserved.

关键词： Heuristic methods

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