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Congress on Image and signal processing, CISP

作者： Hong-Fei Pan Don Liang Jun Tang Nian Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

The spectrum of a graph has been widely used to characterize the properties of a graph and extract information from its structure. In this paper, we investigate the performance of Laplacian spectrum and multidimensional scaling (MDS) as shape recognition and clustering. Firstly, we extract boundary points to characterize the shape and to construct the Laplacian matrix. Secondly, the structural information about graph is described by using the eigenvalues of the Laplacian matrix. Finally, the given shapes are projected onto the low-dimensional space by performing MDS. Meanwhile, the clustering is achieved via analyzing the distribution of shapes. Comparative experiments on the public data sets demonstrate the validation of the proposed algorithm.

关键词： Laplace equations Eigenvalues and eigenfunctions Histograms Data mining Multidimensional systems Costs Feature extraction Shape measurement intelligent structures Multidimensional signal processing

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Foundation of granular computing

Foundation of granular computing

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2009 International Conference on Theoretical and Mathematical Foundations of Computer Science, TMFCS 2009

作者： Zhao, Liquan Zhang, Ling Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing 210003 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Artificial Intelligence Institute Anhui University Hefei 230039 China

ISBN: (纸本)9781615676583

Granular computing which imitates the manner of human thinking is the foundation of artificial intelligence. This paper discusses some operations of granules including quotient intersection, quotient union, quotient complement and quotient difference. Then defines a knowledge space and presents it by a group of basis. Besides we introduce granule spaces and their main properties.

关键词： Granular computing

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Multiuser-based gray-level watermarking sharing system

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Journal of Multimedia 2009年第6期4卷 341-348页

作者： Luo, Bin Wu, Youqing Tang, Jin Lv, Wanli Gu, Wei Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei Anhui China

A novel watermarking sharing system having the ability of sharing gray-level secret images with multi-user is proposed. Multiple-based number system is used to split the secret into n meaningless shares, each share is embedded into respective cover image with controlled distortion and to be assigned to each user afterwards. The architecture of the proposed watermarking system is an open issue, which means the system is easy to be implemented according to the purposes and concerns of the users. The main feature of the proposed system is sharing a secret of gray-level image among multi-users;another application of such system is ownership verification. To reveal the secret, the necessary amount of shares has to be presented. That is, the secret can be recovered even if some shares were lost. Simulation results show that the recovered secret has robustness against a wide range of imaging processing operations. © 2009 ACADEMY PUBLISHER.

关键词： Numbering systems

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A Multiuser Detector Based on Schur Algorithm

A Multiuser Detector Based on Schur Algorithm

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

作者： Yanjun Hu Fang Hu Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui China

A multiuser detector based on Schur algorithm is studied in this paper. Because the computational complexity of the conventional decorrelating detector is high while computing the inverse of system matrices, especially when the system is asynchronous and the number of users is huge. The simulation results show that the performance of the multiuser detector based on Schur algorithm is similar to that of decorrelating detector, but it's computational complexity is much lower than decorrelating detector's.

关键词： Detectors signal processing algorithms Computational complexity Decorrelation Matrix decomposition Multiaccess communication Iterative algorithms Computational modeling Equations Propagation delay

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SAR image compression based on multi-bandelets and geometric flow optimization

SAR image compression based on multi-bandelets and geometric...

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MIPPR 2009 - Multispectral Image Acquisition and processing: 6th International Symposium on Multispectral Image processing and Pattern Recognition

作者： Yang, Shuyuan Qi, Weidong Wang, Zhaoxia Jiao, Licheng Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education of China Xidian University Xi'an 710071 China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China National Key Laboratory of Radar Signal Processing School of Electricity Engineering Xidian University Xian 710071 China

ISBN: (纸本)9780819478054

Bandelet transform is an efficient image sparse representation approach which can adaptively approximate the geometrical regularity of image structures. In this paper, a multi-bandelets based method for SAR image compression is presented, which is constructed by combining multi-wavelet with Bandelet transform and geometric flow optimization. Compared with single wavelet, multi-wavelet has some advantages such as compact support, orthogonality, symmetry and smoothness, thus making finite length filtering, linear phase, correlation remove and good frequency domain characteristics possible, which are very desirable in image compression. Moreover, in our method the multi sub-bands collaborative decision algorithm for geometric flow optimization is proposed to obtain more accurate geometric flows. A number of simulations are taken on SAR images and the result shows that our method can provide a significant improvement over the multi-wavelet and the second generation Bandelet, both in visual fidelity and some objective evaluation criteria such as peak signal to noise ratio, equivalent numbers of looks and edge preservation index. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image compression

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A Secret Sharing Scheme with the Changeable Threshold Value

A Secret Sharing Scheme with the Changeable Threshold Value

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International Symposium on Information Engineering and Electronic Commerce, IEEC

作者： Runhua Shi Hong Zhong Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Anhui University Hefei Anhui CN

In this paper, we investigate the problem of increasing the threshold value of the Shamirpsilas (t, n)-threshold scheme without the dealerpsilas helps, and present a new secret sharing scheme with the threshold value increasing. In this scheme, the dealer needs not to pre-compute or publish any information in advance, all participants cooperate to take on the dealerpsilas role and to complete the share renewing, and each participant only stores one share as the same size of the secret. The results of analysis show that the proposed scheme is secure, and it is perfect and ideal.

关键词： Cryptography Electronic commerce Laboratories signal processing Computer science Cryptographic protocols Time sharing computer systems Information security Data mining Random variables

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WIRELESS INTRUSION DETECTION FOR DEFENDING AGAINST TCP SYN FLOODING ATTACK AND MAN-IN-THE-MIDDLE ATTACK

WIRELESS INTRUSION DETECTION FOR DEFENDING AGAINST TCP SYN F...

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： HUAN-RONG TANG ROU-LING SUN WEI-QIANG KONG Key Laboratory of Intelligent Computing & Information Processing (Xiangtan University) Ministry of Education China 411105

With the popularity of wireless communication application in a wide range of industry and daily life, it is more and more important to solve security problems of wireless local area network (WLAN). In this paper, we propose a new architecture of Wireless Intrusion Detection System (WIDS) for IEEE 802.11 wireless infrastructure networks. The WIDS detect man-in-the-middle-attacks by analyzing the channel gap. Moreover, it can defense the SYN flood attack. The results indicate that the WIDS proposed in this paper is superior at precisely detecting a man-in-thc-middle attack and successfully protecting AP from SYN Flood attack than other existing approaches.

关键词： WLAN WIDS Infrastructure Man-in-the-middle-attack SYN Flood Attack

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： CHENG ZHENG YA-PING SHEN ZHE HU Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University School of Science of Anhui Agricultural University Hefei 230036 China

Finding a good similarity algorithm for the use on ontology is important to some techniques such as semantic retrieval, data mining, ontology translations etc. Similarity computation has special characters when applied in different domains. However after we learned most of the similarity measures based on ontology, we found that most researchers did not deal with these characters. In this paper we work at the similarity computation based on ontology applied in semantic retrieval. We analyze the characters about this application and problems to be improved, and then we propose an improved semantic similarity computation model. At last, we demonstrate the improvement of this model through experiments.

关键词： Ontology Semantic Concept similarity

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Identifying protein-protein interaction sites using adapted Bayesian classifier

Identifying protein-protein interaction sites using adapted ...

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2009 Second ISECS International Colloquium on computing, Communication, Control, and Management, CCCM 2009

作者： Chishe, Wang Jie, Song Fangping, Li Junsong, Lv School of Information Technology Jinling Institute of Technology Nanjing 211169 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Center of Network University of Science and Technology of China Hefei 230029 China Anhui Statistics Bureau Hefei 230001 China

ISBN: (纸本)9781424442461

Identifying protein-protein interaction sites have important connotations ranging from rational drug design to analysis metabolic and signal transduction networks. In this paper, we presented an adapted Bayesian classifier based on tree augmented naïve Bayesian classifier to predict interface residues of protein-protein interaction sites. This classifier used fixed structure which could denote the correlation of sequence neighborhood and the character of protein's features. The conditional probability tables of the classifier were learned from the training dataset. By testing our approach on 81 hetero-complex chains, experimental results demonstrate the performance of our approach is indeed superior to current existing methods. The success of the predictions is validated by examining the predictions in the context of the three-dimensional structures of protein complexes. ©2009 IEEE.

关键词： Forecasting

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Traceback-Based Bloomfilter IPS in Defending SYN Flooding Attack

Traceback-Based Bloomfilter IPS in Defending SYN Flooding At...

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

作者： Huan-rong Tang Chao Xu Xin-gao Luo Jian-quan OuYang Key Laboratory of Intelligent Computing & Information Processing Ministry of Education Xiangtan University Xiangtan Hunan China

Recently, the key of network security is turning from passive detection to active defense. However, most works focused on how fast it can detect the DDoS attack and start defence, and existing methods for differentiating DDoS attack packets, especially SYN flooding attacks, are too time-expensive. When SYN flooding started, victim servers have to call for a lot of memory, usually more than 500 MB, to store the attack packets. To make the differentiating scheme more robust, we record the TCP session statistics (IP-TTL) of SYN packets in a traceback-based bloom filter (TBF), and as the attacks start, we match the SYN packets and IP-TTL statistics to differentiate the attacks packets. In addition, we introduce the trace-back strategy to filter the frequently attacked TBF's IP. In comparison with current methods, the proposed approach can both hold back large-scale fake IP and defend IP spoofing. Experiments verify that once applied the proposed method in Snort_inline, the hold back precision is 98.65% and the semi-join queue is almost empty, otherwise, the precision is near to zero and the semi-join queue is full.

关键词： Floods Computer crime TCPIP Protection Information security Statistics Filters Robustness Counting circuits National security

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