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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Hui-Lan Luo Hui Wei Yuan Ren School of Information Engineering Jiangxi University of Science and Technology Ganzhou Jiangxi China Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China

In this paper, the advantages of ensemble methods are applied to image categorization. A novel method is introduced for image categorization by combining various visual vocabularies with different sizes in the popular vocabulary approach. The vocabulary approach describes an image as a bag of discrete visual codewords, where the frequency distributions of these words are used for image categorization. Based on vocabularies of various sizes, a classifier ensemble is learned, which can jointly exploit different information with various granularities. High classification accuracies of the proposed algorithm are demonstrated on four different datasets.

关键词： Vocabulary Dictionaries Histograms Humans Testing Image classification Computational intelligence Computer industry Laboratories information processing

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An efficient fair off-line E-cash system based on a fully hierarchical proxy blind signature

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Journal of information and Computational Science 2009年第1期6卷 407-414页

作者： Tan, Zuowen School of Information Technology Jiangxi University of Finance and Economics Nanchang 330013 China State Key Laboratory of Information Security Institute of Software CAS Beijing 100190 China Jiangxi Research Center of E-Commerce Engineering and Technology Nanchang 330013 China

We design a fully hierarchical proxy blind signature scheme. Then we propose an efficient fair off-line electronic cash system based on the fully hierarchical proxy blind signature scheme with provable security. Our electronic cash system ensures traceability of double spenders without the trusted party. The electronic cash system can provide more flexibility in the real world. To the best of our knowledge, this is the first result to implement a fair off-line electronic cash system in the hierarchical situation. © 2009 Binary information Press.

关键词： Electronic money

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Against Code Injection with System Call Randomization

Against Code Injection with System Call Randomization

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International Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCTC

作者： Zhaohui Liang Bin Liang Luping Li Wei Chen Qingqing Kang Yingqin Gu Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing China Renmin University of China Beijing CN School of Information Renmin University of China China

ISBN: (纸本)9781424442232

The existing code injection attack defense methods have some deficiencies on performance overhead and effectiveness. In order to ensure the system performance, we propose a method that uses system call randomization to counter code injection attacks based on instruction set randomization idea. An injected code would perform its actions with system calls. System call randomization on operating system level will prevent the injected code from executing correctly. Moreover, with an extended compiler, our method can perform source code randomization during compiling and implement binary executable files randomization by feature matching. The experiments show that our method can effectively counter variety code injection attacks with low overhead.

关键词： Equations Counting circuits Operating systems Kernel Communication system security data security information security Wireless communication Computer networks Laboratories

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Malicious Web Pages Detection Based on Abnormal Visibility Recognition

Malicious Web Pages Detection Based on Abnormal Visibility R...

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International Conference on E-Business and information System Security, EBISS

作者： Bin Liang Jianjun Huang Fang Liu Dawei Wang Daxiang Dong Zhaohui Liang Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China Beijing China School of Information Renmin University of China Beijing China Renmin University of China Beijing CN

In recent years, Web sites have already become the attackers' main target. When attackers embed malicious code in the Web pages, they generally change the display mode of the corresponding HTML tags to make the display effect of malicious code invisible or almost invisible to the browser users. In this paper, the concept of abnormal visibility is proposed to describe the display feature setting of malicious code embedded. According to the concept, a malicious code detection method based on abnormal visibility recognition is designed and a prototype system is implemented. Compared to traditional methods and systems, the method has higher efficiency and less maintenance cost. Besides, a special-purpose JavaScript interpreter is implemented to get the execution output of browser-end scripts that are often used to generate malicious code dynamically by attackers. Experiments show that this system can detect most of the malicious Web pages efficiently and at the same time locate the malicious code in the source code accurately.

关键词： Web pages Displays Java Prototypes HTML Costs Invasive software Fingerprint recognition Laboratories data engineering

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Region of Interest Automatic Extraction for Color Image Based on Mathematical Morphology

Region of Interest Automatic Extraction for Color Image Base...

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International Conference on Computer and information technology (CIT)

作者： Xiao-hong Zhang Yuan-yuan Zhu Zhong-kui Fan School of Information Engineering Jiangxi University of Science and Technology Ganzhou China Information Security Center State Key Laboratory of Networking and Switching Beijing University of Posts and Telecommunications Beijing China

Combined with human visual characteristics and morphological watershed algorithm, a novel image processing method was proposed for automatic region of interest (ROI) extraction. The color image would be converted into gradient map, then smooth the map using the method of morphological opening and closing operators, last thresholding it. For discriminating the very small regions which are segmented as ROI, considering the luminance and saturation characteristics of color image, the homogeneity measure criteria was applied to merge them with their similar neighboring regions, then removed the background from the image . According to the experiment results, over-segmentation caused by watershed algorithm has been greatly improved, and this method is proved to be feasible and valid.

关键词： Color Image segmentation data mining Image processing Image converters Surface morphology Surface topography Pixel Telecommunication computing information technology

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Design and Implement of Digital Modulator Based on Improved DDS technology and DSP Builder

Design and Implement of Digital Modulator Based on Improved ...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Kangshun Li Xiaoqiao Lu Wensheng Zhang Feng Wang School of Information South China Agricultural University Guangzhou China School of Information Engineering Jiangxi University of Science and Technology Jiangxi China Institute of Automation Chinese Academy and Sciences Beijing China State Key Laboratory of Software Engineering Wuhan University of China Wuhan China

In this paper, according to the basic theory of digital modulator, the design model of digital modulator is built by using the improved Direct Digital Synthesizer (DDS) technology through running the Matlab/DSP Builder environment. Firstly,analyse the function of each module in this model and simulate the grade of algorithms to it and also produce VHDL language, then carry on Register Transport Level (RTL) grade simulation to the model in Modelsim. In the end, it also introduces the way to realize digital modulator in Field Programmable Gate Array (FPGA) chip, which verify the correctness and validity of the model. This design can not only produce many kinds of the digital signal modulation, but can also simplify the hardware circuit of the modern system greatly and save plenty of the system resources and improve the reliability and flexibility, what is more, compared with other designs, the performance price ratio of the design has advantage in modulated signal device and possess certain practicability and usefulness.

关键词： Digital modulation Digital signal processing Mathematical model Signal design Field programmable gate arrays Synthesizers Registers Modulation coding Hardware Flexible printed circuits

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A Novel Spatial Obstructed Distance Using Quantum-Behaved Particle Swarm Optimization

A Novel Spatial Obstructed Distance Using Quantum-Behaved Pa...

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International Conference on Intelligent Computation technology and Automation, ICICTA

作者： Xueping Zhang Hong Yi Dan Cao Yawei Liu Tengfei Yang Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education Fuzhou University Fuzhou China School of Information Science & Engineering Henan University of Technology Zhengzhou China

Spatial clustering with obstacles constraints (SCOC) has been a new topic in spatial data mining (SDM). Spatial obstructed distance (SOD) is the key to SCOC. The obstacles constraint is generally ignored in computing distance between two points, and it leads to the clustering result which is of no value, so obstructed distance has a great effect upon clustering result. In this paper, we propose a novel spatial obstructed distance using quantum-behaved particle swarm optimization (QPSO) based on grid model to obtain obstructed distance, which is named QPGSOD. The experimental results show that QPGSOD is effective, and it can not only give attention to higher local constringency speed and stronger global optimum search.

关键词： Particle swarm optimization Clustering algorithms Quantum computing data mining Educational technology Automation information science data engineering Laboratories Constraint optimization

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Spatial Clustering with Obstacles Constraints by Ant Colony Optimization and Quantum Particle Swarm Optimization

Spatial Clustering with Obstacles Constraints by Ant Colony ...

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Xueping Zhang Jianjun Wu Haifang Si Tengfei Yang Yawei Liu Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education Fuzhou University Fuzhou China School of Information Science & Engineering Henan University of Technology Zhengzhou China

The paper proposed a novel ant colony optimization (ACO) and quantum particle swarm optimization (QPSO) method for spatial clustering with obstacles constraints (SCOC). We first developed AQPGSOD using ACO and QPSO based on grid model to obtain obstructed distance, and then we presented a new QPKSCOC based on QPSO and K-Medoids to cluster spatial data with obstacles. The experimental results show that AQPGSOD is effective, and QPKSCOC can not only give attention to higher local constringency speed and stronger global optimum search, but also get down to the obstacles constraints and practicalities of spatial clustering.

关键词： Ant colony optimization Particle swarm optimization Quantum computing data mining Clustering algorithms Artificial intelligence Computational intelligence information science data engineering Educational technology

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An Improved Weighted Posterior Probability Reconstruction Strategy for Multi-class Support Vector Machine

An Improved Weighted Posterior Probability Reconstruction St...

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2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

作者： Xiaohong Wang Key Laboratory of Numerical Control of Jiangxi Province Jiujiang University Jiujiang 332005 China School of Electronic and Information Engineering Dalian University of Technology Dalian 116024 China

After analysis of the existing one-versus-one (OVO) decomposition methods for multi-class support vector machine (SVM), the improved weighted posterior probability (IWPP) reconstruction strategy is presented to combine binary SVM-based classifiers to multi-class one. The new strategy can resolve the unclassifiable region problems in the conventional max-win-voting (MWV) method and increase recognition accuracy. Firstly, the different prior probabilities of these binary SVM-based classifiers in OVO decomposition are considered. Then, the improved weight coefficients for combination of the probability output among these binary classifiers are re-derived based on conditional probability theory. To validate the proposed strategy, four examples on UCI database are used to illustrate the logical correctness of IWPP. Tests show that the IWPP strategy has less classification errors, better classification ability and more stable probability output than the original ones.

关键词： Multi-class support vector machine Posterior probability Reconstruction Strategy

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Web page malicious code detection based on embedded fingerprints

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Qinghua Daxue Xuebao/Journal of Tsinghua University 2009年第SUPPL. 2期49卷 2208-2214页

作者： Huang, Jianjun Liang, Bin Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education School of Information Renmin University of China Beijing 100872 China

Web sites have become the main targets of many attackers. Signature-based detection needs to maintain a large signature database and Honeypot based methods are not efficient. Since attackers always make the malicious codes in Web pages difficult to detect by the browser users, their methods can be classified into various fingerprints. Various malicious codes were analyzed to identify 6 types of fingerprints. The system utilizes a spider integrated with script interpretation to fetch target Web pages and extract specific tags for detection by HTML parsing for matching with the fingerprints to detect malicious codes. This method needs fewer fingerprints than traditional detection methods and is more efficient. Results for 60 websites show that the system has a false negative rate of 2.63% and a false positive rate of 1.99%.

关键词： Websites

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