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Practical privacy for value-added applications in vehicular ad hoc networks 5th

引用

5th International Conference on Internet and Distributed Computing Systems, IDCS 2012

作者： Zhang, Lei Wu, Qianhong Qin, Bo Domingo-Ferrer, Josep Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China UNESCO Chair in Data Privacy Dept. of Comp. Eng. and Maths Universitat Rovira i Virgili TarragonaCatalonia Spain Key Lab. of Aerospace Information Security and Trusted Computing Ministry of Education Wuhan University School of Computer China Department of Maths School of Science Xi’an University of Technology China

ISBN: (纸本)9783642348822

Advances in mobile networking and information processing technologies have triggered vehicular ad hoc networks (VANETs) for traffic safety and value-added applications. Most efforts have been made to address the security concerns while little work has been done to investigate security and privacy for value-added applications in VANETs. To fill this gap, we propose a value-added application, specifically, a security and privacy preserving location-based service (LBS) scheme for VANETs. For each LBS transaction, the scheme provides authentication, integrity and non-repudiation for both the service provider and the user. A user can obtain the service in an anonymous way and hence user privacy is well protected. However, a tracing procedure can be invoked to find malicious users, thereby efficiently preventing users from abusing the anonymity provided by the system. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Location based services

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Feasibility study of various communication networks for smart grid

Feasibility study of various communication networks for smar...

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2011 International Conference on Advanced Power System Automation and Protection, APAP 2011

作者： Yang, Seungho Yoo, ByungGwan Yang, Hyo-Sik Ahn, YongHo Hyun, Mooyong Jang, Hyuk-Soo Dept. of Computer Science and Engineering Sejong University Korea Republic of Korea Electronic Power Research Institute Daejon Korea Republic of Korea Data Network Korea Republic of Dept. of Computer Science and Engineering Mongji University Korea Republic of

ISBN: (纸本)9781424496198

The next generation power system based on IEC 61850 is operated by exchanging information, which is modeled and standardized with components of power utility system. Thanks to the defined and standardized data and information exchange model, interoperability for the products from different vendors, fast response against critical situation by exchanging message like GOOSE (Generic Object Oriented Substation Event), and easier engineering by SCL (Substation Configuration Language) are offered. To offer these advantages, the communication networks in smart grid should be maintained reliably. If the networks are degraded by the burst overload or a careless configuration, smart grid system will face to desperate situation. Thus, careful consideration of network design is very important for stable operation of smart grid system. In these regards, analysis based on simulation gives benefits with less cost and time than physical implementation. There, however, is no simulator available in the market, which implements the services for IEC 61850. We present the NS-2 module, script generator and result analyzer for simulation of power system based on IEC 61850. Also we present the numerical analysis of 154KV substation and confirm the simulation result confirms the timing constraint defined in IEC 61850. This simulator will help to design the communication network and the purpose of education. © 2011 IEEE.

关键词： Simulators

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Numerical simulation of nano-disk plasmonic laser

Numerical simulation of nano-disk plasmonic laser

引用

11th International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2011

作者： Wang, Qian Ho, Seng-Tiong Data Storage Institute Agency for Science Technology and Research Singapore Dept. Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 United States

ISBN: (纸本)9781612848785

Numerical simulation of a nano-disk based plasmonic laser is presented. A semiconductor nano-disk embedded in the gold forms a cavity for the plasmonic laser. One-dimensional body-of-revolution finite-difference-time-domain incorporated with Drude model for the metal and multilevel/multi-electron gain medium model is developed for the simulation. The lasing performance of the nanodisk with a radius of 90 nm is numerically demonstrated. © 2011 IEEE.

关键词： Numerical models

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Multiple source localization based on biased bearings using the intensity filter - Approach and experimental results

Multiple source localization based on biased bearings using ...

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2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

作者： Schikora, Marek Oispuu, Marc Koch, Wolfgang Cremers, Daniel Fraunhofer FKIE Dept. Sensor Data and Information Fusion Neuenahrer Straße 53343 Wachtberg Germany TU Munich Dept. Computer Science Boltzmannstr. 3 85748 Garching Germany

ISBN: (纸本)9781457721052

This paper investigates the three-dimensional localization problem for multiple emitters using a realistic airborne array sensor. In order to achieve improved results systematic and statistical direction finding errors are considered in a unified algorithm. The task is solved using a sequential Monte Carlo (SMC) implementation of the intensity filter (iFilter). In this paper, we compare two localization approaches without and with the consideration of systematic bearing errors and verify them with an experimental data set. The comparison of both approaches reveals that the bias consideration offers a superior performance. © 2011 IEEE.

关键词： Bandpass filters

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Ptolemaic indexing of the signature quadratic form distance 11

Ptolemaic indexing of the signature quadratic form distance

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Proceedings of the Fourth International Conference on SImilarity Search and APplications

作者： Lokoč, Jakub Hetland, Magnus Lie Skopal, Tomáš Beecks, Christian Faculty of Mathematics and Physics SIRET research group Charles University Prague Czech Republic Dept. of Computer Science Norwegian University of Science and Technology Norway Data Management and Data Exploration Group RWTH Aachen University Germany

ISBN: (纸本)9781450307956

The signature quadratic form distance has been introduced as an adaptive similarity measure coping with flexible content representations of multimedia data. While this distance has shown high retrieval quality, its high computational complexity underscores the need for efficient search methods. Recent research has shown that a huge improvement in search efficiency is achieved when using metric indexing. In this paper, we analyze the applicability of Ptolemaic indexing to the signature quadratic form distance. We show that it is a Ptolemaic metric and present an application of Ptolemaic pivot tables to image databases, resolving queries nearly four times as fast as the state-of-the-art metric solution, and up to 300 times as fast as sequential scan. Copyright © 2011 ACM.

关键词： Number theory

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Maximal cliques that satisfy hard constraints with application to deformable object model learning

Maximal cliques that satisfy hard constraints with applicati...

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25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

作者： Wang, Xinggang Bai, Xiang Yang, Xingwei Liu, Wenyu Latecki, Longin Jan Dept. of Electronics and Information Engineering Huazhong Univ. of Science and Technology China Image Analytics Lab. GE Research One Research Circle Niskayuna NY 12309 United States Dept. of Computer and Information Sciences Temple Univ. United States

ISBN: (纸本)9781618395993

We propose a novel inference framework for finding maximal cliques in a weighted graph that satisfy hard constraints. The constraints specify the graph nodes that must belong to the solution as well as mutual exclusions of graph nodes, i.e., sets of nodes that cannot belong to the same solution. The proposed inference is based on a novel particle filter algorithm with state permeations. We apply the inference framework to a challenging problem of learning part-based, deformable object models. Two core problems in the learning framework, matching of image patches and finding salient parts, are formulated as two instances of the problem of finding maximal cliques with hard constraints. Our learning framework yields discriminative part based object models that achieve very good detection rate, and outperform other methods on object classes with large deformation.

关键词： Inference engines

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Decentralized generation of multiple, uncorrelatable pseudonyms without trusted third parties

Decentralized generation of multiple, uncorrelatable pseudon...

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Lecture Notes in computer science

作者： Lehnhardt, Jan Spalka, Adrian CompuGroup Medical Software GmbH Dept. of Data Security and System Architecture Maria Trost 23 Koblenz 56070 Germany University of Bonn Dept. of Computer Science III Römerstr. 164 53117 Bonn Germany

ISBN: (纸本)9783642228896

Regarding the increasing number of applications provided as external services, the importance of pseudonymous data as a means for privacy protection of user entities is growing. Along with it grows the relevance of secure and accurate generation, use and management of pseudonyms. In particular we consider the involvement of third parties in this process as potentially harmful, and therefore favor a decentralized pseudonym generation approach where the role of central components is reduced to a minimum. In this paper, we propose a pseudonym generation mechanism and focus on its implementation based on elliptic curve cryptography, in which every user entity can generate an arbitrary number of uncorrelatable pseudonyms with minimal effort, initially as well as at any later point in time. Because no sensitive information necessary for pseudonym generation is available on central components, our approach provides security as well as flexibility and usability. © 2011 Springer-Verlag.

关键词： Public key cryptography

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Magnifier: Online detection of performance problems in large-scale cloud computing systems

Magnifier: Online detection of performance problems in large...

引用

International Conference on Services Computing

作者： Mi, Haibo Wang, Huaimin Yin, Gang Cai, Hua Zhou, Qi Sun, Tingtao Zhou, Yangfan School of Computer Science National University of Defense Technology Changsha China Monitor and Data Analysis Alibaba Cloud Co. Ltd Hangzhou China Dept. of Computer Science and Engineering Chinese Univ. of Hong Kong Shatin Hong Kong

ISBN: (纸本)9780769544625

In large-scale cloud computing systems, even a simple user request may go through numerous of services that are deployed on different physical machines. As a result, it is a great challenge to online localize the prime causes of performance degradation in such systems. Existing end-to-end request tracing approaches are not suitable for online anomaly detection because their time complexity is exponential in the size of the trace logs. In this paper, we propose an approach, namely Magnifier, to rapidly diagnose the source of performance degradation in large-scale non-stop cloud systems. In Magnifier, the execution path graph of a user request is modeled by a hierarchical structure including component layer, module layer and function layer, and anomalies are detected from higher layer to lower layer separately. In each layer every node is assigned a newly created identifier in addition to the global identifier of the request, which significantly decreases the size of parsing trace logs and accelerates the anomaly detection process. We conduct extensive experiments over a real-world enterprise system (the Alibaba cloud computing platform) providing services for the public. The results show that Magnifier can locate the prime causes of performance degradation more accurately and efficiently. © 2011 IEEE.

关键词： Cloud computing

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A graph-based approach to detect abnormal spatial points and regions

A graph-based approach to detect abnormal spatial points and...

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作者： Lu, Chang-Tien Santos Jr., Raimundo F. Dos Liu, Xutong Kou, Yufeng Computer Science Dept. Virginia Tech. 7054 Haycock Road Falls Church VA 22043 United States Spatial Data Management Lab. Virginia Tech. 7054 Haycock Road Falls Church VA 22043 United States

Spatial outliers are the spatial objects whose nonspatial attribute values are quite different from those of their spatial neighbors. Identification of spatial outliers is an important task for data mining researchers and geographers. A number of algorithms have been developed to detect spatial anomalies in meteorological images, transportation systems, and contagious disease data. In this paper, we propose a set of graph-based algorithms to identify spatial outliers. Our method first constructs a graph based on k-nearest neighbor relationship in spatial domain, assigns the differences of nonspatial attribute as edge weights, and continuously cuts high-weight edges to identify isolated points or regions that are much dissimilar to their neighboring objects. The proposed algorithms have three major advantages compared with other existing spatial outlier detection methods: accurate in detecting both point and region outliers, capable of avoiding false outliers, and capable of computing the local outlierness of an object within subgraphs. We present time complexity of the algorithms, and show experiments conducted on US housing and Census data to demonstrate the effectiveness of the proposed approaches. © 2011 World Scientific Publishing Company.

关键词： data mining

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Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning 11

Maximal Cliques that Satisfy Hard Constraints with Applicati...

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Annual Conference on Neural Information Processing Systems

作者： Xinggang Wang XiangBai Xingwei Yang Wenyu Liu Longin Jan Latecki Dept. of Electronics and Information Engineering Huazhong Univ. of Science and Technology China Image Analytics Lab GE Research One Research Circle Niskayuna NY 12309 USA Dept. of Computer and Information Sciences Temple Univ. USA

ISBN: (纸本)9781618395993

关键词： mutual exclusion detection rate (DR) Particle filtering algorithm Learning image patch Ganglia object information model Maximal Frameworks Satisfaction

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