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On Change Detection of XML Schemas

On Change Detection of XML Schemas

引用

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Abdullah Baqasah Eric Pardede Irena Holubova Wenny Rahayu Department of Computer Science and Computer Engineering La Trobe University Melbourne Australia Dept. of Software Eng. Charles Univ. Prague Prague Czech Republic Department of Software Engineering Charles University Prague Czech Republic

ISBN: (纸本)9781479914449

Change detection of XML data has emerged as an important research issue in the last decade, however the majority of change detection algorithms focuses on XML documents rather than schemas. This is because documents that contain data are deemed more significant than the schema itself. This paper looks at the problem from a different perspective by maintaining XML schema (XSD) changes and providing a more meaningful description of the detected changes. Our proposed algorithm XS-Diff uses the technique of storing XML Schema versions in a relational database where the detection and storage of delta changes are employed on relational tables. We demonstrate the correctness of the proposed algorithm through a set of synthetic data. Also, our experimental results show that XS-Diff, is a more meaningful method than other change detection methods for providing deltas that are optimal or near-optimal and semantically correct.

关键词： XML Change detection algorithms Relational databases Detection algorithms Scalability Educational institutions Data models

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Efficient public key cryptosystem resilient to key leakage chosen ciphertext attacks 1

引用

Cryptographers' Track at the RSA Conference 2013, CT-RSA 2013

作者： Liu, Shengli Weng, Jian Zhao, Yunlei Dept. of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China Department of Computer Science Emergency Technology Research Center of Risk Evaluation and Prewarning on Public Network Security Jinan University China Software School Fudan University Shanghai 201203 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai China

ISBN: (数字)9783642360954

ISBN: (纸本)9783642360947

Leakage-resilient public key encryption (PKE) schemes are designed to resist "memory attacks", i.e., the adversary recovers the cryptographic key in the memory adaptively, but subject to constraint that the total amount of leaked information about the key is bounded by some parameter λ. Among all the IND-CCA2 leakage-resilient PKE proposals, the leakage-resilient version of the Cramer-Shoup cryptosystem (CS-PKE), referred to as the KL-CS-PKE scheme proposed by Naor and Segev in Crypto09, is the most practical one. But, the key leakage parameter λ and plaintext length m of KL-CS-PKE are subject to λ + m ≤ log q - ω(log κ), where κ is security parameter and q is the prime order of the group on which the scheme is based. Such a dependence between λ and m is undesirable. For example, when λ (resp., m) approaches to log q, m (resp., λ) approaches to 0. In this paper, we designed a new variant of CS-PKE that is resilient to key leakage chosen ciphertext attacks. Our proposal is λ ≤ log q - ω(log κ) leakage-resilient, and the leakage parameter λ is independent of the plaintext space that has the constant size q (exactly the same as that in CS-PKE). The performance of our proposal is almost as efficient as the original CS-PKE. As far as we know, this is the first leakage-resilient CS-type cryptosystem whose plaintext length is independent of the key leakage parameter, and is also the most efficient IND-CCA2 PKE scheme resilient to up to log q - ω(log κ) leakage. © 2013 Springer-Verlag.

关键词： Public key cryptography

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Composing workflow activities on the basis of data-flow structures

Composing workflow activities on the basis of data-flow stru...

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11th International Conference on Business Process Management, BPM 2013

作者： Van Der Aa, Han Reijers, Hajo A. Vanderfeesten, Irene Dept. of Mathematics and Computer Science Eindhoven University of Technology PO Box 513 5600MB Eindhoven Netherlands Perceptive Software Piet Joubertstraat 4 7315AV Apeldoorn Netherlands School of Industrial Engineering Eindhoven University of Technology PO Box 513 5600MB Eindhoven Netherlands

ISBN: (纸本)9783642401756

The proper composition of activities is important for the efficient execution of a workflow process. In this paper, an approach is presented that utilizes the data-flow underlying a workflow process to determine the importance and semantic relatedness of the various, elementary data-processing steps. Based on these aspects, fundamental guidelines are proposed to drive and objectify the task of activity composition in the context of workflow design. © 2013 Springer-Verlag.

关键词： Digital storage

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Learning Automata Based Sentiment Analysis for recommender system on cloud

Learning Automata Based Sentiment Analysis for recommender s...

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International Conference on computer, Information and Telecommunication Systems (CITS)

作者： P. Venkata Krishna Sudip Misra Dheeraj Joshi Mohammad S. Obaidat School of Computing Science and Engineering VIT University Vellore India School of Information Tech Indian Institute of Technology Kharagpur India Dept. of Computer Science & Software Engineering Monmouth University NJ USA

The development of personalized recommendation systems has been an interesting research topic after the rapid evolution in social networking sites. In this paper, we propose a recommendation system using Learning automata (LA) and sentiment analysis. LA is used to optimize the recommendation score produced by the proposed system using sentiment analysis. The proposed Learning Automata-Based Sentiment Analysis System (LASA) recommends the places nearby the current location of the users by analyzing the feedback from the places and thus calculating the score based on it. Experiments performed by us indicate that by using LA, we can improve the performance of the proposed system, and, thus, help a user to find a specific location according to the need.

关键词： Learning automata Recommender systems Automata Time factors Cybernetics Educational institutions

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A Comparative Study on Differential Evolution with Other Heuristic Methods for Continuous Optimization

A Comparative Study on Differential Evolution with Other Heu...

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Mediterranean Conference on Control & Automation

作者： Guido Maione Antonio Punzi Kang Li Dept. of Electrical and Information Engineering Technical University of Bari ISS Innovative Software Services GmbH School of Electronics Electrical Engineering and Computer Science Queen's University of Belfast

ISBN: (纸本)9781479909964

In this paper, we describe an optimization method based on differential evolution (DE). It shows good convergence properties with few parameters. However, the appropriate selection of the parameters is a difficult task. Hence, we here analyze the performance indexes of the DE algorithm to set the control parameters. Moreover, to identify the best parameter intervals, the DE approach is first compared to two different Particle Swarm Optimization (PSO) algorithms and then to a recent adaptive genetic algorithm (DABGA). The optimization of benchmark functions shows that the DE algorithm performs better than PSO and DABGA methods.

关键词： Sociology Statistics Optimization Convergence Genetic algorithms Vectors Market research

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Visualization of movie features in collaborative filtering

Visualization of movie features in collaborative filtering

引用

12th IEEE International Conference on Intelligent software Methodologies, Tools and Techniques, SoMeT 2013

作者： Nemeth, Bottyan Takacs, Gabor Pilaszy, Istvan Tikk, Domonkos Gravity Research and Development Zrt. Bálint M. u. 64. Gyor Hungary Dept. of Mathematics and Computer Science Széchenyi István University Egyetem tér 1. Gyor Hungary Óbuda University Software Engineering Institute Bécsi út 96/b Budapest Hungary

ISBN: (纸本)9781479904211

In this paper we will describe a modification of the matrix factorization (MF) algorithm which allows visualizing the user and item characteristics. When applying MF for collaborative filtering, we get a model that represents the attributes of users and items by feature vectors. Some elements of these vectors may have understandable meaning for humans but due to the lack of internal connections between the feature vectors, these are difficult to visualize. In this paper we give a detailed description of a MF method enabling better visualization of features by arranging them into a 2D map, where via the calculation of the feature values we try to position features with similar 'meaning' close to each other. To achieve this first we define a neighborhood relation on features, then we modify the MF so that we introduce a new term in the error function which penalize the difference between the neighbor features. We show that this modification slightly decrease the accuracy of the model but we get well visualized feature maps. On the feature maps meanings can be associated with regions, and so we can provide an interesting explanation for the user why he/she was recommended the movie. Such plausible explanations may result in that users will better understand how the system works, which can also increase customer loyalty towards the service provider. © 2013 IEEE.

关键词： Collaborative filtering

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A hybrid mobility model based on social, cultural and language diversity

A hybrid mobility model based on social, cultural and langua...

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International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)

作者： Lutful Karim Qusay H. Mahmoud School of Information & Communications Technology Seneca College of Applied Arts and Science Toronto ON Canada Dept. Electrical Computer and Software Engineering University of Ontario Institute of Technology Oshawa ON Canada

Human Mobility Models (HMMs) have become increasingly relevant in different application domains including networks designed for data dissemination protocols. Most existing HMMs consider the temporal and spatial features of human mobility. In addition, many recent HMMs based on social networks have begun to take into account social factors, which naturally influence the results of the HMMs. Unfortunately, these mobility models do not focus on the impact of several important social factors that can affect a person's actions, such as language, citizenship, and culture. This paper introduces a hybrid human mobility model that integrates social behavior, cultural and language factors into HMMs in order to measure their effect on human mobility, as well as temporal and spatial features. Results demonstrate the feasibility of the proposed model.

关键词： Hidden Markov models Communities Cultural differences Data models Protocols Social network services Global communication

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Of Massive Static Analysis Data

Of Massive Static Analysis Data

引用

IEEE International Conference on software Security and Reliability Companion

作者： Aurelien Delaitre Vadim Okun Elizabeth Fong Dept. of Computer Science and Electrical Engineering West Virginia University Morgantown WV 26506 USA Software and Systems Division IT Laboratory National Institute of Standards and Technology Gaithersburg MD 20899 USA

ISBN: (纸本)9781479929269

The software Assurance Metrics and Tool Evaluation (SAMATE) project at the National Institute of Standards and Technology (NIST) has organized four Static Analysis Tool Expositions (SATE). SATE is designed to advance research in static analysis tools that find security-relevant defects in source code. Briefly, participating tool makers run their tools on a set of programs. Researchers led by NIST analyze the tool outputs. The results and experiences are reported at a workshop. These expositions have accumulated large amounts of data. This collection allowed for the development and validation of practical metrics in regard to static analysis tool effectiveness and independence. In this paper, we discuss the role of the data in determining which metrics can be derived. Specifically, we detail the three characteristics test data should exhibit and explain why the data we use express each combination of two out of these three properties.

关键词： software metrics static analysis tools security weaknesses tool effectiveness tool independence

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Performance Evaluation of Stack-Protocols, Encapsulation Methods and Video Codecs for Live Video Streaming

Performance Evaluation of Stack-Protocols, Encapsulation Met...

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International Conference of Information and Communication Technology

作者： Afaq Iqbal Fahim Arif Nasru Minallah Dept. Computer Software Engineering Military College of Signals National University of Science and Technology Dept. Computer System Engineering University of Engineering and Technology

ISBN: (纸本)9781467349901

There are diverse factors involved in the transmission of live video over internet. These factors have direct impact on the quality of the transmitted video. The underlying protocol, encapsulation method and the choice of video codec are the, key factors involved in the transmission of video over streaming network. Up to our knowledge various studies have been performed to analyze the impact of these factors individually on the quality of video transmission however their joint impact on video transmission is not yet done. In this paper we characterize the performance of live video streaming setup, while keeping in view the effect of stack-protocol, encapsulation method and the underlying video codec on delay as the key investigating parameter. The results obtained while considering diverse video streaming setups are provided in the results section of this paper. More specifically, it was observed that stack (http, mjpeg, mjpeg) performs best and stack (mms, asf, wmv1) perform worst.

关键词： Stack Protocol Encapsulation Codec VideoLAN Client Video Streaming

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Measurement of Business Rules Specified as Reusable Components: Exploratory Study of Its Impact on the Functional Size of software Projects

Measurement of Business Rules Specified as Reusable Componen...

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Joint Conference of the Int'l Workshop on and International Conference on software Process and Product Measurement software Measurement

作者： Sylvie Trudel Alain Abran Computer Science Department Université du Québec à Montréal Montréal Canada Dept. of Software Engineering and Information Technologies École de Technologie Supéricurc Montréal Canada

When reusable software elements are defined in the requirements phase, this raises a number of issues for the measurement of their functional size, when a reusable element implements a business rule or a business sub process, for example. A case study is presented with project functional size measurement data to illustrate the impact of reuse on the resulting size and to determine criteria of reuse effectiveness and efficiency.

关键词： software Size measurement software measurement Organizations Productivity computer architecture

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