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9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Yuming, Mao Yinglong, Wang College of Information Science and Engineering Shandong University of Science and Technology Qingdao China College of Information Science and Electrical Engineering Shandong Jiaotong University Jinan China Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center Jinan China

ISBN: (纸本)9783642406393

The paper presents a three-dimensional localization algorithm for wireless sensor network (WSN) mobile nodes based on double-layers BP neural network. The main contribution of the paper is that using the trained double-layers BP neural network and the received signal strength indicator at the unknown point as the input data to Locating the mobile node. According to the result, the average relative error of the algorithm based on double-layers BP neural network is 6.65 %, and themethod has fast processing speed and high precision, and it can provide availability and exact data for WSN. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Sensor nodes

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Design of information disclosure platform in engineering based on reliability model

Design of information disclosure platform in engineering bas...

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4th International Conference on Materials Science and information Technology, MSIT 2014

作者： Meng, Qing Feng Feng, Zheng Qian Li, Zhao Hao, Sheng G. Shandong Computer Science Center Shan Dong E-cloud Information Technology Co. Ltd Jinan 250000 China Department of Shandong Provincial Key Laboratory of computer Network Shandong Computer Science Center Jinan 250000 China

ISBN: (纸本)9783038351733

This paper presents a public information platform based on reliability coefficient for information disclosure process in construction field. In this platform, we constructed a model of enterprise reliability coefficient and enterprise credit evaluation system, unified credit standards of Shandong Province in the construction industry sectors. Meanwhile, we adopt flexible workflow to definite workflow model of public information platform and using SOA architecture which is service-oriented and object-oriented programming ideas to realize the entire system. Finally, the article analyzes the public information platform in the field of engineering construction in Shandong province, and after the test run, the results show that the system has better scalability, stability and high security. © (2014) Trans Tech Publications, Switzerland.

关键词： Reliability

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Defense Technology of Wormhole Attacks Based on Node Connectivity

Defense Technology of Wormhole Attacks Based on Node Connect...

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IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Jiu-hu Zheng Huan-yan Qian Lei Wang School of Information Technology Jiangsu Institute of Commerce Nanjing Jiangsu China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Jiangsu China National Mobile Communications esearch Laboratory Southeast University Nanjing Jiangsu China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing Jiangsu China

ISBN: (纸本)9781509018949

After wormhole attacks the routing mechanism of wireless sensor network (WSN) is damaged, then the hop count and distance between nodes cannot be well matched, so that the WSN becomes the anisotropic sensor network, resulting in security treats for WSN. Considering that wormhole attacks can cause the changing of node connectivity, through the theoretical analysis and derivation, the paper has proposed a method which detects wormhole attacks with the connected relation of high connectivity nodes, and optimizes routing with the help of the normal nodes outside the wormhole. Simulation results show that the algorithm can well detect wormhole attacks and has better localization accuracy In addition, the effect is more obvious in the case of the wormhole nodes with large communication radius and long distance.

关键词： Wireless sensor networks Routing Probability Algorithm design and analysis Security Simulation computer science

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Decision Tree Algorithm Optimization Research Based on MapReduce

Decision Tree Algorithm Optimization Research Based on MapRe...

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2015 6th IEEE International Conference on Software Engineering and Service Science(ICSESS 2015)

作者： Fangfang Yuan Fusheng Lian Xingjian Xu Zhaohua Ji College of Computer and Information Engineering Inner Mongolia Normal University Xing An Vocational & Technical College CAS Key Laboratory of Genome Sciences and Informatio n Beijing Institute of Genomics Chinese Academy of Sciences University of Chinese Academy of Sciences College of Environment and Energy Engineering Beijing University of Technology College of Network Technology Inner Mongolia Normal University

With the advent of the computer science, the data volume that needed to be processed under many practical situations increases dramatically, challenging many traditional machine learning techniques. Bearing this in mind, we made an intensive study on the optimization of decision tree algorithm and its corresponding porting to the big data analysis in this paper. An optimized genetic algorithm is merged into the implementation of the decision tree algorithm above, and we also invent a parallel genetic decision tree algorithm using Map Reduce, which is very suitable for analyzing big data in cloud computing environment. Experiment results show that our algorithm acquires a nearly linear speedup, keeping a similar classification accuracy at the same time.

关键词： cloud computing mapreduce decision tree genetic algorithm data mining

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A new combination prediction model for short-term wind farm output power based on meteorological data collected by WSN

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第1期7卷 171-180页

作者： Ma, Li Li, Bo Yang, Zhen Bin Du, Jie Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China CMA Public Meteorological Service Centre Beijing 100081 China

The prediction of wind farm output power is considered as an effective way to increase the wind power capacity and improve the safety and economy of power system. It is one of the hot research topics on wind power. The wind farm output power is related to many factors such as wind speed, temperature, etc., which is difficult to be described by some mathematical expression. In this paper, Back Propagation (BP) neural network algorithm is respectively combined with genetic algorithm (GA) and particle swarm optimization (PSO) to establish the combination prediction model of the short-term wind farm output power based on meteorological data collected by Wireless Sensor network (WSN). The meteorological data is used to determine the input variables of the BP neural network. Meanwhile, the GA and the PSO is respectively used to adjust the value of BP's connection weight and threshold dynamically. Then the trained GA-BP and PSO-BP neural network are used to predict the wind power by combination method. The experiment results show that our method has better prediction capability compared with that using BP neural network, GA-BP neural network and PSO-BP neural network alone. © 2014 SERSC.

关键词： Wireless sensor networks

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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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MT-NCOR: A practical optimization method for network coded opportunistic routing in WMN

MT-NCOR: A practical optimization method for network coded o...

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International Conference on computer Communications and networks (ICCCN)

作者： Xiang Lan Sanfeng Zhang School of Software Engineering Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration in Southeast University Ministry of Education Southeast University Nanjing China

network coded opportunistic routing (NCOR) is a potential communication paradigm in wireless multi-hop networks (WMN) with lossy links. It leverages the multipath diversity of wireless networks and applies network coding to resist random erasures. Related optimization work minimizing transmission cost or maximizing throughput are based on the collision-free assumption, which either requires perfect schedule of MAC layer or only considers low traffic load and thus few packet collisions will occur. However, the assumption doesn't hold true because real WMNs often need to support content distribution service and bear a high level of traffic load, and 802.11 protocols cannot guarantee an ideal schedule with no collisions. In order to achieve an optimal forwarding rate distribution and reduce conflicting packets, this paper proposes a throughput optimization algorithm which takes into consideration the channel capacity and interference between neighboring nodes. Based on this algorithm, we implement a practical NCOR protocol aiming at achieving maximum throughput named MT-NCOR. Through extensive experiments, we show that MT-NCOR outperforms the state-of-art NCOR protocols in both throughput and total cost, especially in networks backing high traffic loads.

关键词： Throughput Optimization Interference Routing Protocols Channel capacity Encoding

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Design and implementation of the network electronic identity management system

Design and implementation of the network electronic identity...

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3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014

作者： Ni, Li Shun Chen, Bing The 3rd research institute of ministry of public security Key laboratory of information network security Ministry of Public Security Shanghai China Dept. of computer engineering Tongji University Shanghai China

ISBN: (纸本)9783038350842

This paper presents a quickly locate the query methods in the face of huge amounts of data. The method by analyzing the data relationship, split the database, the formation of cross-database quickly Hash positioning table, and by analyzing the query cost to build double weighted graph and weight table. Each query is given based on the node weight table fast cross-database query path, and quickly locate the target from the cross-database positioning Hash table Hash calculation, in order to achieve fast positioning method. © (2014) Trans Tech Publications, Switzerland.

关键词： Database systems

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A Retrievable Data Perturbation Method Used in Privacy-Preserving in Cloud Computing

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China Communications 2014年第8期11卷 73-84页

作者： YANG Pan School of Electronics and Information Engineering Xi'an Jiaotong University Xi'an 710049 China Shaanxi Province Key Laboratory of Computer Network Xi' an Jiaotong University Xi'an 710049 China

With the increasing popularity of cloud computing,privacy has become one of the key problem in cloud *** data is outsourced to the cloud,for data owners,they need to ensure the security of their privacy;for cloud service providers,they need some information of the data to provide high QoS services;and for authorized users,they need to access to the true value of *** existing privacy-preserving methods can't meet all the needs of the three parties at the same *** address this issue,we propose a retrievable data perturbation method and use it in the privacy-preserving in data outsourcing in cloud *** scheme comes in four ***,an improved random generator is proposed to generate an accurate "noise".Next,a perturbation algorithm is introduced to add noise to the original *** doing this,the privacy information is hidden,but the mean and covariance of data which the service providers may need remain ***,a retrieval algorithm is proposed to get the original data back from the perturbed ***,we combine the retrievable perturbation with the access control process to ensure only the authorized users can retrieve the original *** experiments show that our scheme perturbs date correctly,efficiently,and securely.

关键词： privacy-preserving data perturbation retrieval access control cloudcomputing

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An improved DV-Hop positioning algorithm for wireless sensor network

An improved DV-Hop positioning algorithm for wireless sensor...

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Jiuhu Zheng Huanyan Qian Lie Wang School of Information Technology Jiangsu Institute of Commerce Nanjing Jiangsu China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Jiangsu China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Nanjing Jiangsu China National Mobile Communications esearch Laboratory Southeast University Nanjing Jiangsu China Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Nanjing Jiangsu China

In the view of the DV-Hop positioning algorithm which relies on the distance vector and beacon nodes, several aspects are improved: the average hop distance and hop count are corrected; a method to detect the abnormal distribution of beacon nodes is used to avoid the influence of the abnormal distribution on the positioning performance. The proposed algorithm is simple and effective. Simulation results show that compared with the traditional DV-Hop algorithm, the performance of the proposed algorithm is greatly improved. The performance is even even superior to that of the algorithm mentioned in literature [10].

关键词： Wireless sensor networks Mobile communication Hardware Maximum likelihood estimation Mathematical model computer science Broadband communication

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