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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Meng Shen Xu Ke Fuliang Li Fan Li Liehuang Zhu Lei Guan Ministry of Education Key Laboratory of Computer Network and Information Integration (Southeast University) P. R. China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications School of Computer Science Beijing Institute of Technology P. R. China Tsinghua University Beijing Beijing CN College of Information Science and Engineering Northeastern University P. R. China DNSLAB China Internet Network Iniormation Center Beijing P. R. China School of Management & Economics Beijing Institute of Technology P. R. China

ISBN: (纸本)9781479989386

There is a growing trend for service providers (SPs) to migrate their multi-tier applications from local clusters to public cloud networks. In the cloud environment, it is a great concern of SPs to improve the availability of their virtual networks, in addition to guarantees of their virtual resource requirements, such as VMs and bandwidth. However, meeting these requirements results in an inefficient utilization of physical resources, which goes against the operational goal of cloud providers. To address this challenge, in this paper, we propose an availability-aware virtual network embedding framework that simultaneously improves the availability of virtual networks and the resource efficiency. We first propose a new metric to quantify the availability cost of a multi-tier virtual network, and then formulate the embedding problem as a joint optimization of the aggregated bandwidth and availability costs. Due to the NP-hardness of the embedding problem, we devise a heuristic algorithm that can solve the problem in polynomial time. Extensive simulation results show that the proposed algorithm enables CP to achieve various trade-offs between resource efficiency and availability, and to gain more revenue (e.g., 16.1% under a datacenter load of 80%) than the availability-agonistic algorithm.

关键词： Bandwidth Cloud computing Topology Network topology Servers Optimization Algorithm design and analysis

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A multi-objective biogeography-based optimization with mean value migration operator

A multi-objective biogeography-based optimization with mean ...

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zheng, Xiang-Wei Gao, Kai-Ge Wang, Xiao-Guang Ma, Chi-Zhu School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China School of Communication Shandong Normal University Jinan China

ISBN: (纸本)9789400776173

Considering its successful application in solving discrete single objective problems, biogeography-based optimization (BBO) is considered as a new promising intelligent algorithm. Therefore, many studies are conducted to apply it to solve multi-objective optimization problems (MOPs). However, these improved BBOs are not always effective because of the complexity of MOPs. A multi-objective biogeography-based algorithm with mean value migration operator named MVBBO is proposed in this paper. In MVBBO, mean value theory and new boundary constraint rule are adopted to extend the range of feasible domain. Meanwhile, mutation operator and Ε-dominance-based archive strategy are employed to achieve better convergence and diversity. Simulation on benchmark functions shows that the proposed MVBBO's final Pareto solution set is better than NSGA-II and other improved multi-objective BBOs in convergence and distribution of Pareto solutions. © Springer Science+Business Media Dordrecht 2014.

关键词： Heuristic algorithms

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Improved access control model under cloud computing environment

Improved access control model under cloud computing environm...

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zhang, Yongsheng Zou, Jiashun Gao, Yan Li, Bo School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China Academic Affairs Office Shandong Polytechnic Jinan 250104 China

ISBN: (纸本)9789400776173

With the development of cloud computing, cloud security problem has become a hot topic. Some scholars put forward the role access control based on mapping, which is used to solve the leakage problem of data storing in the cloud. This paper briefly describes the cloud computing and traditional access control model based on the latest research. Then the paper sums up the work and puts forward a new kind of access control model based on the hop named HBAC. It is based on the role access control that based on mapping. It is used to control the length of path to access the data in outer domain. At last, the paper gives the concrete steps to describe the principle of its operation in detail. And this paper makes a comparison with other related researches. Then this paper summarizes the advantages and disadvantages of HBAC. © Springer Science+Business Media Dordrecht 2014.

关键词： Mapping

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A deep neural network approach for sentence boundary detection in broadcast news 15

A deep neural network approach for sentence boundary detecti...

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15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014

作者： Xu, Chenglin Xie, Lei Huang, Guangpu Xiao, Xiong Chng, Eng Siong Li, Haizhou Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University China Temasek Laboratories NTU Nanyang Technological University Singapore Singapore School of Computer Engineering Nanyang Technological University Singapore Singapore Institute for Infocomm Research ASTAR Singapore Singapore

This paper presents a deep neural network (DNN) approach to sentence boundary detection in broadcast news. We extract prosodic and lexical features at each inter-word position in the transcripts and learn a sequential classifier to label these positions as either boundary or non-boundary. This work is realized by a hybrid DNN-CRF (conditional random field) architecture. The DNN accepts prosodic feature inputs and non-linearly maps them into boundary/non-boundary posterior probability outputs. Subsequently, the posterior probabilities are combined with lexical features and the integrated features are modeled by a linear-chain CRF. The CRF finally labels the inter-word positions as boundary or non-boundary by Viterbi decoding. Experiments show that, as compared with the state-of-the-art DTCRF approach [1], the proposed DNN-CRF approach achieves 16.7% and 4.1% reduction in NIST boundary detection error in reference and speech recognition transcripts, respectively. Copyright © 2014 ISCA.

关键词： Deep neural networks

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Semi-paired probabilistic canonical correlation analysis 8

Semi-paired probabilistic canonical correlation analysis

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8th IFIP International Conference on Intelligent information processing, IIP 2014

作者： Zhang, Bo Hao, Jie Ma, Gang Yue, Jinpeng Shi, Zhongzhi Chinese Academy of Sciences Institute of Computing Technology The Key Laboratory of Intelligent Information Processing Beijing China University of Chinese Academy of Sciences Beijing China Xuzhou Medical College School of Medicine Information Xuzhou China China University of Mining and Technology School of Computer Science and Technology Xuzhou China

ISBN: (纸本)9783662449790

CCA is a powerful tool for analyzing paired multi-view data. However, when facing semi-paired multi-view data which widely exist in real-world problems, CCA usually performs poorly due to its requirement of data pairing between different views in nature. To cope with this problem, we propose a semi-paired variant of CCA named SemiPCCA based on the probabilistic model for CCA. Experiments with artificially generated samples demonstrate the effectiveness of the proposed method. © IFIP International Federation for information processing 2014.

关键词： Correlation methods

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How Many Packets Are Most Effective for Early Stage Traffic Identification： An Experimental Study

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China Communications 2014年第9期11卷 183-193页

作者： PENG Lizhi YANG Bo CHEN Yuehui WU Tong Shandong Provincial Key Laboratory for Network Based Intelligent Computing University of Jinan Jinan 250022 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China

Accurately identifying network traffics at the early stage is very important for the application of traffic *** years,more and more research works have tried to build effective machine learning models to identify traffics with the few packets at the early ***,a basic and important problem is still unresolved,that is how many packets are most effective in early stage traffic *** this paper,we try to resolve this problem using experimental *** firstly extract the packet size of the first 2-10 packets of 3 traffic data *** then execute crossover identification experiments with different numbers of packets using 11 well-known machine learning ***,statistical tests are applied to find out which number is the best performed *** experimental results show that 5-7are the best packet numbers for early stage traffic identification.

关键词： feature extraction early stagetraffic classification machine learning

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UNSUPERVISED BROADCAST NEWS STORY SEGMENTATION USING DISTANCE DEPENDENT CHINESE RESTAURANT PROCESSES

UNSUPERVISED BROADCAST NEWS STORY SEGMENTATION USING DISTANC...

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IEEE International Conference on Acoustics, Speech and Signal processing

作者： Chao Yang Lei Xie Xiangzeng Zhou Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781479928941

Traditional unsupervised broadcast news story segmentation approaches have to set the segmentation number manually, while this number is often unknown in real-world applications. In this paper, we solve this problem by modeling the generative process of stories as distance dependent Chinese restaurant process (dd-CRP) mixtures. We cut a news program into fixed-size text blocks and consider these blocks in the same story are generated from a story-specific topic. Specifically, we add a dd-CRP prior which has an essential bias that the blocks' topic is more likely to be the same with the nearby blocks. Subsequently, story boundaries can be found by detecting the changes of topics. Experiments show that our approach outperforms both supervised and unsupervised approaches and the segmentation number can be automatically learned from data.

关键词： Restaurants news Blocks segmentation Segmentation Chinese restaurants Narration SUPERVISING AUTOMATIC

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A forensics tool of Foxmail client

A forensics tool of Foxmail client

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International Conference on Systems and Informatics (ICSAI)

作者： Lili Xie Guolong Chen College of Mathematics and Computer Science Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781479954599

computer forensics is an important part of the computer crime investigation. So a Forensics system aimed to Foxmail data analysis and investigation is proposed in this paper. The system can index the email data based on Lucene technology and the MMSeg participle algorithm, and provides the full text retrieval of the email content function. Subsequently, a visual communication graph would be generated according to the retrieval results. Based on the communication graph, an algorithm on graphic structure analysis is proposed, and by means of centrality and minimum traffic filtering method, multilevel analysis is carried out on the graph, which can detect the possible suspicious personnel and their relationships and provide strong support for the computer crime investigation.

关键词： Electronic mail Forensics Postal services Indexes Filtering Personnel Algorithm design and analysis

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Traffic Labeller： Collecting Internet Traffic Samples with Accurate Application information

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China Communications 2014年第1期11卷 69-78页

作者： PENG Lizhi ZHANG Hongli YANG Bo CHEN Yuehui WU Tong School of Computer Science and Technology Harbin Institute of Technology Harbin 150002 China Provincial Key Laboratory for Network Based Intelligent Computing University of Jinan Jinan 250022 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China

Traffic classification research has been suffering from a trouble of collecting accurate samples with ground truth.A model named Traffic Labeller(TL) is proposed to solve this *** system captures all user socket calls and their corresponding application process information in the user mode on a Windows *** a sending data call has been captured,its 5-tuple {source IP,destination IP,source port,destination port and transport layer protocol},associated with its application information,is sent to an intermediate NDIS driver in the kernel *** the intermediate driver writes application type information on TOS field of the IP packets which match the *** this way,each IP packet sent from the Windows host carries their application ***,traffic samples collected on the network have been labelled with the accurate application information and can be used for training effective traffic classification models.

关键词： network measurement traffic cla- ssification data collection ground truth

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One forward-secure signature scheme using bilinear maps and its applications

One forward-secure signature scheme using bilinear maps and ...

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作者： Yu, Jia Kong, Fanyu Cheng, Xiangguo Hao, Rong Li, Guowen College of Information Engineering Qingdao University 266071 Qingdao China Shandong Provincial Key Laboratory of Computer Network 250014 Jinan China Institute of Network Security Shandong University 250100 Jinan China Key Lab of Cryptographic Technology and Information Security Ministry of Education Jinan 250100 China School of Computer Science and Technology Shandong Jianzhu University 250100 Jinan China

Forward-secure signatures are proposed to deal with the key exposure problem. Compared to regular signatures, forward-secure signatures have a special update algorithm that can evolve the new private key in each time period. Therefore, it can protect the security of signatures previous to the time period of key exposure. The efficiency is an important issue of forward-secure signatures. In this paper, we construct a new forward-secure signature scheme using bilinear maps. In this scheme, all performance parameters have complexities of log magnitude in terms of the total time periods. In addition, our scheme needs very few (only triple) pairing operations in the verifying algorithm, which is very important because the pairing operation is very time-consuming. This scheme is proved to be forward secure in the random oracle model assuming the CDH problem is hard. Finally, we give some applications of this scheme including constructing an intrusion-resilient signature scheme and constructing a forward-secure threshold signature scheme. © 2014 Elsevier Inc. All rights reserved.

关键词： Authentication

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