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WSA 2015;19th International ITG Workshop on Smart Antennas

作者： Ibo Ngebani Yabo Li Xiang-Gen Xia Minjian Zhao Joseph Chuma Yunlong Cai Department of Information Science and Electrical Engineering Zhejiang Provincial Key Laboratory of Information Network Technology Zhejiang University Department of Electrical and Computer Engineering University of Delaware

Vector orthogonal frequency division multiplexing (V-OFDM) for single transmit antenna systems is a generalization of OFDM where single-carrier frequency domain equalization (SC-FDE) and OFDM are just two special cases. Phase noise in a V-OFDM system leads to a common vector block phase error (CVBPE) as well as an inter vector block carrier interference (IVBCI) effect. Severe performance degradation results if these two effects are not estimated and compensated for. In this paper blind and semi-blind phase noise estimation and compensation in a V-OFDM system is investigated by using the expectation maximization (EM) algorithm. This is motivated by the fact that conventional frequency domain phase noise suppression schemes based on pilot-aided CVBPE estimation and compensation are not spectrally efficient as the vector block size is increased. Two novel algorithms are proposed, one estimates the CVBPE only and the other estimates the entire phase noise sequence in the time-domain. Simulations show that with the proposed algorithms V-OFDM can outperform OFDM system with conventional data aided or soft information aided phase noise CPE correction.

关键词： BCJR CVBPE EM IVBCI ML LMMSE OFDM Phase Noise SC-FDE Vector OFDM Phase noise Orthogonal frequency division multiplexing computer Programming Languages compensated auxiliary phase

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A deniable group key authentication scheme under random oracle model

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Journal of information and Computational Science 2015年第9期12卷 3583-3597页

作者： Zhang, Gefei Fan, Dan Zhang, Yuqing Li, Xiaowei National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences Beijing China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China

Deniable encryption is one of the most important services for Group key Authentication (GKA) schemes in modern networks. To provide secure properties of Deniable Group key Authentication (DGKA) scheme, various DGKA schemes have been proposed in recent years. However, many of them mainly focus only on external malicious entities, while ignoring the internal malicious entities. To address this problem, we propose a new provable secure DGKA scheme based on Random Oracle (RO) model. The scheme uses the digital signature to identify internal malicious entities while keeping deniability and improving the security of the scheme. The scheme is also provable secure under the RO model. As it adds an extra step in broadcasting and uses Elliptic Curve Cryptography, the scheme enjoys better performance in terms of computation cost and security. ©, 2015, Journal of information and Computational Science. All right reserved.

关键词： Authentication

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key-insulated aggregate signature

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Frontiers of computer Science 2014年第5期8卷 837-846页

作者： Huiyan ZHAO Jia YU Shaoxia DUAN Xiangguo CHENG Rong HAO College of Information Engineering Qingdao University Qingdao 266071 China Shandong Provincial Key Laboratory of Computer Network Jinan 250014 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China

In order to minimize the damage caused by key exposure in aggregate signatures, a key-insulated aggregate signature scheme is proposed in this paper. We give the def- inition and the security model of the key-insulated aggregate signature. We also construct a concrete key-insulated aggre- gate signature scheme that meets our definition. Our scheme has the properties of efficient verification and short signature length. We prove the security of our scheme in the random oracle model under the computation Diffie-Hellman assump- tion.

关键词： aggregate signature key-insulated aggregatesignature provable security bilinear pairings

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Design and Implementation of Mobile Telemedicine System Based on Body Area network

Design and Implementation of Mobile Telemedicine System Base...

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2015 International Conference on computer Science and information Engineering(CSIE 2015)

作者： Yun-xia ZHANG Ying-long WANG Ming-lei SHU Meng ZHAO School of Information Science and Engineering Shandong Normal University Shandong Key Laboratory of Computer Network Shandong Computer Science Center(National Super Computing Center in Jinan)

In order to realize remote consultation,remote diagnosis and remote education,and reduce the difficulty and expense for patients seeing a doctor in developing *** this paper,we proposed a mobile telemedicine system is based on a cloud platform to store physiology *** the one hand,it based on Body Area network to collect physiological data;On the other hand it is based on Session Description Protocol and adopts Hole Punching,H.264 video codec,RTP/RTCP real-time transport protocol,which achieves P2 P communication from different *** with traditional telemedicine system,it not only achieves P2 P communication between users and doctors but also can get accurate physiological data of users,such as pressure,blood oxygen,ECG,blood *** avoids inaccurate diagnosis results owing to the subjective feeling of users.

关键词： BAN Mobile telemedicine SIP Cloud platform Hole Punching

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Enhancing binary relevance for multi-label learning with controlled label correlations exploitation

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8862卷 91-103页

作者： Li, Yu-Kun Zhang, Min-Ling School of Computer Science and Engineering Southeast University China Key Laboratory of Computer Network and Information Integration Southeast University China

Binary relevance (BR) is regarded as the most intuitive solution to learn from multi-label data, which decomposes the multi-label learning task into a number of independent binary learning tasks (one per class label). To amend its potential weakness of ignoring label correlations, many correlation-enabling extensions to BR have been proposed based on two major strategies, i.e. assuming random correlations with chaining structure or taking full-order correlations with stacking structure. However, in both strategies label correlations are only exploited in an uncontrolled manner, which may be problematic when error-prone and uncorrelated class labels arise. In this paper, to fulfill controlled label correlations exploitation, a novel enhancement to BR is proposed based on a two-stage filtering procedure. In the first stage, error-prone class labels are pruned from the label space based on holdout validation. In the second stage, closely-related class labels are identified based on supervised feature selection by viewing unpruned labels as features. Extensive experiments across fourteen multi-label data sets confirm the superiority of controlled label correlations exploitation, especially when large number class labels exist in the label space. © Springer International Publishing Switzerland 2014.

关键词： Learning systems

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Detecting bot-infected machines based on analyzing the similar periodic DNS queries

Detecting bot-infected machines based on analyzing the simil...

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International Conference on Computing, Management and Telecommunications (ComManTel)

作者： Truong Dinh Tu Cheng Guang Liang Yi Xin School of Computer Science and Engineering Southeast University Nanjing China Department of Information Technologies Tuyhoa Industrial College Phuyen Vietnam Ministry of Education Key Laboratory of Computer Network and Information Integration Nanjing China

Modern botnets such as Zeus and Conficker commonly utilize a technique called domain fluxing or a Domain Generation Algorithm (DGA) to generate a large number of pseudo-random domain names dynamically for botnet operators to control their bots. These botnets are becoming one of the most serious threats to the Internet security on a global scale. In this paper, we present a method based on analyzing the similar periodic time intervals series of DNS queries to identify DGA-bot infected machines. This method passively captures all DNS traffic from the gateway of monitor network. Firstly, we group queries of the same domain name that is requested by hosts, and then extracts time interval series between adjacent queries. Secondly, we measure the similar periodicity of DNS queries by calculating the squared Euclidean distance between each pair of their time interval series. Finally, we apply a hierarchical clustering algorithm to cluster high similar domain names. The experiment results show that the domain names are generated by the same botnet or DGA would be grouped into the same cluster, thus all of the hosts that query to these clusters are marked as compromised hosts running a domain-flux botnet within monitor network.

关键词： Correlation Servers Monitoring Time measurement Clustering algorithms Time series analysis Euclidean distance

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Physiological-Signal-Based key Negotiation Protocols for Body Sensor networks: A Survey

Physiological-Signal-Based Key Negotiation Protocols for Bod...

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International Symposium on Autonomous Decentralized Systems (ISADAS)

作者： Huawei Zhao Ruzhi Xu Minglei Shu Jiankun Hu Department of Internet Finance Shandong Prov Key Laboratory of Computer Network Shandong Computer Science Center Jinan China Shandong Prov Key Laboratory of Computer Network Shandong Computer Science Center Jinan China Department of Internet Finance Qilu University of Technology Jinan China School of Engineering and Information Technology UNSW Canberra Australia

ISBN: (纸本)9781479982622

Body sensor networks (BSNs) are deployed around the human body to measure and process physiological signals in real time, which have wide application prospects in intelligent healthcare. Physiological signals measured and processed by BSNs involve individual privacy, thus security mechanisms must be developed to secure BSNs, and therein adoption of key negotiation protocols is fundamental. Due to stringently limited operation resources, BSNs require these protocols to be low-energy and highly efficient. Recent development has discovered that certain physiological signals can be used for efficiently negotiating common keys among biosensor nodes. These signals and fuzzy technology are used to design lightweight key negotiation protocols, and many solutions have been proposed. In this paper, we explore and classify these solutions, and evaluate their performance by analyzing their merits and demerits. Finally, we present open research issues that should be solved in the future.

关键词： Protocols Physiology Biosensors Receivers Synchronization Error correction codes Noise

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Multi-path SDN route selection subject to multi-constraints

Multi-path SDN route selection subject to multi-constraints

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Third International Conference on Cyberspace Technology (CCT 2015)

作者： Qingfeng Pan Xianghan Zheng Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou 350108 China College of Mathematics and Computer Science Fuzhou University 350108 China

ISBN: (纸本)9781510821873

Multi-constrained optimal routing problem and disjoint path selection are NP-hard problem. The conventional single-path and single constraint routing can not meet people's needs. The reliability of network data transmission and packet loss rate can be decreased when the route or the transmission fails. To solve the problems, we need to study the routing path selection strategies. This paper optimizes the routing path that meets the QoS constraints under the SDN pre planning routing, and proposes a routing mechanism that can solve problems in polynomial time. Firstly, the paper combined with Clustering and Gauss algorithm to simulate the network simulation, obtain the initial experimental data. It can reflect the network status more accurately. Secondly, simplify the multi-objectives based on the AHP, It reduces the complexity of the problem and meets QoS requirements. Finally, select the disjoint communication paths and backup paths with the heuristic algorithms in order to balance the load of network and improve the transmission reliability. The selection mechanism can improve the efficiency of data transmission, and the survival of network communication.

关键词： Analytic Hierarchy Process Disjoint Path Multi constraints Optimal Path QoS Routing

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computer-aided design bitmap retrieval methods based on shape features

Computer-aided design bitmap retrieval methods based on shap...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yuan Yin Shengxiang Gao Zhengtao Yu Yunshan Zhang Key Laboratory of Intelligent Information Processing Kunming University of Science and Technology Kunming China Yunnan Administration College Computer Network Center Kunming China

ISBN: (纸本)9781467376839

This paper presents a computer-aided design (CAD) bitmap retrieval method based the on shape characteristics of CAD bitmaps. First, using the Canny edge detection algorithm to extract edge shapes of the CAD bitmaps, the edge direction histogram of CAD bitmaps are constructed according to the edge shapes. Next, using Euclidean distance and cosine value to calculate the distances between edge histograms, the similarities between CAD bitmaps are obtained according to the distances between histograms. Finally, sorting series of CAD bitmaps are obtained according to similarity values. The experimental results show that using shape features results in better effects than using color or texture features for CAD bitmap retrieval.

关键词： Design automation Image edge detection Shape Histograms Feature extraction Euclidean distance Color

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The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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