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A Secure Distributed key Management Scheme for AD Hoc Network

A Secure Distributed Key Management Scheme for AD Hoc Networ...

2010 IEEE International Conference on Information Theory and Information Security(2010 IEEE 国际信息论与信息安全会议)

作者： Xianping Yuan Yan Xu Hong Zhong Jia Yu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui Univers College of Information Engineering Qingdao University Qingdao China

An identity-based threshold key management scheme without secure channel is proposed for ad hoc network. The master private key, which is shared among all nodes by the Shamir's secret sharing scheme, is produced by all nodes when network is formed. The nodes’ public keys are derived from their identities. In order to get the private key, each node needs to prove their identity to distributed CAs using a zeroknowledge proof protocol to get the share of private key. Compared with former schemes, our scheme doesn’t need any local registration authority(LRA), which is easy to be compromised by adversary. When a node leaves the network, shares of the master private key would be renewed. In the end, we prove our scheme is correct and secure.

关键词： Ad hoc networks Public key Polynomials Protocols Wireless communication

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Image denoising based on Non-Local means and multi-scale dyadic wavelet transform

Image denoising based on Non-Local means and multi-scale dya...

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International Conference on Computer Science and Information Technology (CSIT)

作者： Gang Yu Yong Yin Hongjun Wang Zhi Liu Dengwang Li School of Information science and engineering Shandong University Lin'an China Key Laboratory of Intelligent Computing & Information Processing Ministry of Education Xiangtan China

A variety of wavelet transform methods have been introduced to remove noise from images. However, many of these algorithms remove the fine details and smooth the structures of the image when removing noise. The wavelet coefficient magnitude sum (WCMS) algorithm can preserve edges, but it is at the expense of removing noise. The Non-Local means algorithm can removing noise effective. But it tend to cause distortion ( eg white). Meanwhile, when the noise is large, the method is not so effective. In this paper, we propose an efficient denoising algorithm. we denoised the image with non-local means algorithm in the spatial domain and WCMS algorithm in wavelet domain, weighted, combined them and got the image that we want. The experiment shows that our algorithm can improve PSNR form 0.6 dB to 1.0 dB and the image boundary is more clearly.

关键词： Discrete wavelet transforms Image edge detection PSNR Histograms Noise reduction

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CBCT image denoising based on multi-scale wavelet transform

CBCT image denoising based on multi-scale wavelet transform

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Yong Yin Gang Yu Hongjun Wang Zhi Liu Dengwang Li School of Information science and engineering Shandong University Jinan China Key Laboratory of Intelligent Computing Information Processing of Ministry of Education Xiangtan China

Cone-Beam Computed Tomography (CBCT) has always been in the forefront of medical image processing. The denoising as a image pre-processing, has a great affected on the image analysis and recognition. In this paper, a new algorithm for image denoising was proposed. By thresholding the interscale wavelet coefficient magnitude sum(WCMS) within a cone of influence (COI), the wavelet coefficients are classified into 2 categories: irregular coefficients, and edge-related and regular coefficients. They are processed by different ways. Meanwhile according to the projection image sequences characteristics in CBCT system, an effective noise variance estimated methods was proposed. The experiment shows that our algorithm can improve PSNR form 1.3dB to 2.6dB, and the image border is more clearly.

关键词： Noise Wavelet coefficients Image reconstruction Classification algorithms Noise reduction Image edge detection Image denoising

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Enhancing fairness: A novel C2C e-commerce community member reputation algorithm based on transaction social networks

Enhancing fairness: A novel C2C e-commerce community member ...

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IADIS International Conference WWW/Internet 2010

作者： Feng, Wangsen Zhang, Bei Xia, Yunni Li, Jiajing Meng, Tao Key Laboratory of Network and Software Security Assurance of Ministry of Education Computing Center Peking University Beijing 100871 China College of Computer Science Chongqing University Chongqing 400044 China School of Mechanical Electronic and Information Engineering China University of Mining and Technology Beijing 100083 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9789728939250

Today, almost all the C2C e-commerce community member reputation evaluating algorithms are time sensitive. The reputation of a community member is accumulated after transactions and the increment of reputation after a successful transaction is computed based on the score given by his or her transaction partner. Since people always tend to do business with those with high reputation value, the reputation of members joined in C2C community at different time will vary greatly although they may provide the same commodity quality and service. It is unfair to new comers. In this paper, we propose a novel algorithm to overcome the shortcoming. Based on the transaction social network, our algorithm employs the random walk strategy to compute member reputation and enhance system fairness. © 2010 IADIS.

关键词： Electronic commerce

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A new image encryption algorithm based on encryption template

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Journal of Information and Computational Science 2010年第8期7卷 1661-1667页

作者： Zhou, Shihua Zhang, Qiang Wei, Xiaopeng School of Mechanical Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

In order to enhance the image information security, image encryption becomes an important research direction. A new image encryption algorithm based on encryption template is presented in this paper. This algorithm is implemented by using the natural DNA sequences as main keys and the new defined encryption template as main tool to fully exert the special advantages. Firstly, the original image is confused in the light of the chaotic sequence is generated by Logistic Mapping. Secondly, the encryption template is generated by the new given definition in which DNA sequences and chaos game representation are used. Thirdly, the pixel gray values of the new image and the ones of the encryption template are XORed bit-by-bit. The experimental result demonstrates that the image encryption algorithm is feasible and simple. Through performance analysis, this algorithm is robust against all kinds of attacks and owns higher security. Copyright © 2010 Binary Information Press.

关键词： Cryptography

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Crawling Result Pages for Data Extraction Based on URL Classification

Crawling Result Pages for Data Extraction Based on URL Class...

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Web Information Systems and Applications Conference (WISA)

作者： Tiezheng Nie Zhenhua Wang Yue Kou Rui Zhang Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang China College of Information Science and Engineering Northeastern University Shenyang China

In Web database integration, crawling data pages is important for data extraction. The fact that data are contained by multiple result pages increases the difficulty of accessing data for integration. Thus, it is necessary to accurately and automatically crawl query result pages from Web database. To address this problem, we propose a novel approach based on URL classification to effectively identify result pages. In our approach, we compute the similarity between URLs of hyperlinks in result pages and classify them into four categories. Each category maps to a set of similar web pages, which separate result pages from others. Then, we use the page probing method to verify the correctness of classification and improve the accuracy of crawled result pages. The experimental result demonstrates that our approach is effective for identifying the collection of result pages in Web database, and can improve the quality and efficiency of data extraction.

关键词： Classification algorithms Databases Web pages Data mining Accuracy Clustering algorithms

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A Study of Pulmonary Nodule Detection in Three-Dimensional Thoracic CT Scans

A Study of Pulmonary Nodule Detection in Three-Dimensional T...

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International Conference on Computer Modeling and Simulation, ICCMS

作者： Yang Liu Jinzhu Yang Dazhe Zhao Jiren Liu Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang China School of Information Science & Engineering Northeastern University Shenyang China

Early detection of pulmonary nodules on multi-slice computed tomography (MSCT) is an important clinical indication for early-stage lung cancer diagnosis. Currently, support vector machines (SVMs) have been widely used in pattern recognition. We are developing a nodule detection system by using the combination of SVMs. For training and testing the SVM classifier, a lung nodule simulation method in three-dimensional (3D) image space is developed to provide a better test environment. The detection method is multi-step, including 3D nodule simulation and insertion, lung fields segmentation, initial nodule candidates extraction, 3D geometry and intensity features calculation and false positives (FPs) reduction based on SVM. The proposed scheme is applied on three mixed chest MSCT datasets and evaluated using receiver operating characteristic (ROC) curve analysis. The experimental results illustrate the efficiency of the proposed method and the sensitivity of SVM classifier is found to be 86%.

关键词： Computed tomography Support vector machines Support vector machine classification Lungs Testing Cancer detection Pattern recognition Computational modeling Solid modeling Image segmentation

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A novel approach for Web data extraction based on XML encoding

A novel approach for Web data extraction based on XML encodi...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Tiezheng Nie Derong Shen Ge Yu Zhong Shi Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang China College of Information Science and Engineering Northeastern University Shenyang China

The problem of extracting data from a Web page has been studied by many works. In this paper, we present a novel approach that extracts data records from Web pages based on techniques of XML encoding. Firstly, our approach formats a given Web data page into an XML document. Then instead of using DOM-based approaches, we make use of XML encoding model to transform the XML document into a linear sequence. Our algorithm identifies the data records of a Web page from the sequence, which avoids the complex matching between sub trees in DOM model. Moreover, we address the problem of repetitive subparts in records and propose an algorithm for data alignment. Experimental results show that our approach can extract data records accurately from web pages.

关键词： Data mining Encoding Web pages XML HTML Feature extraction Algorithm design and analysis

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Protecting Location Privacy Using Cloaking Subgraphs on Road Network

Protecting Location Privacy Using Cloaking Subgraphs on Road...

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Web Information Systems and Applications Conference (WISA)

作者： Jiao Xue Xiangyu Liu Xiaochun Yang Bin Wang School of Information Science and Engineering Northeastern University Liaoning China Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Liaoning China

Mobile users traveling over roads often issue KNN queries based on their current locations with their mobile terminals (e.g. where is the nearest gas station?). However, exact location information transmitted to an unsecure server will easily lead the mobile user to be tracked. Thus it is important to protect mobile users' location privacy while providing location-based services. People traveling over roads always follow a road network. We observe that two cloaking subgraph structures, which we name cloaking cycle and cloaking tree, can be used to protect mobile users' location privacy effectively in road network environment. Based on these two subgraph structures, we propose a novel location privacy preserving approach using cloaking cycle and forest, which can effectively protect mobile users' location privacy while efficiently providing exact location-based services.

关键词： Mobile communication Privacy Roads Servers Query processing Mobile computing Middleware

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Image Encryption Algorithm Based on DNA Sequences for the Big Image

Image Encryption Algorithm Based on DNA Sequences for the Bi...

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International Conference on Multimedia Information Networking and Security (MINES)

作者： Shihua Zhou Qiang Zhang Xiaopeng Wei Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China School of Mechanical Engineering Dalian University of Technology Dalian China

With the fast development of Internet technology and information processing technology, the image is commonly transmitted via the Internet. People enjoy the convenience and shortcut, but people have to face to the obsession that the important image information in transmission is easily intercepted by unknown persons or hackers. In order to enhance the image information security, image encryption becomes an important research direction. An image encryption algorithm based on DNA sequences for the big image is presented in this paper. The main purpose of this algorithm is to reduce the big image encryption time. This algorithm is implemented by using the natural DNA sequences as main keys. The first part is the process of pixel scrambling. The original image is confused in the light of the scrambling sequence is generated by the DNA sequence. The second part is the process of pixel replacement. The pixel gray values of the new image and the one of the three encryption templates are generated by the other DNA sequence are XORed bit-by-bit in turn. The experimental result demonstrates that the image encryption algorithm is feasible and simple. Through performance analysis, this algorithm is robust against all kinds of attacks and owns higher security.

关键词： Encryption DNA Pixel Chaos Algorithm design and analysis Correlation

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