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arXiv 2018年

作者： Kecskemeti, Gabor Nemeth, Zsolt Kertesz, Attila Ranjan, Rajiv Department of Computer Science Liverpool John Moores University Laboratory of Parallel and Distributed Systems MTA SZTAKI Software Engineering Department University of Szeged School of Computing Newcastle University

Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these details e.g., to increase the reliability or performance of their applications, they would need solutions to detect behavioural changes in the underlying system. Existing runtime solutions for such purposes offer limited capabilities as they are mostly restricted to revealing weekly or yearly behavioural periodicity in the infrastructure. This article proposes a technique for predicting generic background workload by means of simulations that are capable of providing additional knowledge of the underlying private cloud systems in order to support activities like cloud orchestration or workflow enactment. Our technique uses long-running scientific workflows and their behaviour discrepancies and tries to replicate these in a simulated cloud with known (trace-based) workloads. We argue that the better we can mimic the current discrepancies the better we can tell expected workloads in the near future on the real life cloud. We evaluated the proposed prediction approach with a biochemical application on both real and simulated cloud infrastructures. The proposed algorithm has shown to produce significantly (∼20%) better workload predictions for the future of simulated clouds than random workload selection. Copyright © 2018, The Authors. All rights reserved.

关键词： Infrastructure as a service (IaaS)

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Personalized gesture interactions for cyber-physical smart-home environments

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science China(Information sciences) 2017年第7期60卷 144-158页

作者： Yihua LOU Wenjun WU Radu-Daniel VATAVU Wei-Tek TSAI State Key Laboratory of Software Development Environment Beihang University Mint Viz Research Lab Integrated Center for Research Developmentand Innovation in Advanced MaterialsNanotechnologies and Distributed Systems for Fabrication and Control (MANSiD) & Department of Computer Science University Stefan cel Mare of Suceava

A gesture-based interaction system for smart homes is a part of a complex cyber-physical environment, for which researchers and developers need to address major challenges in providing personalized gesture interactions. However, current research efforts have not tackled the problem of personalized gesture recognition that often involves user identification. To address this problem, we propose in this work a new event-driven service-oriented framework called gesture services for cyber-physical environments(GS-CPE) that extends the architecture of our previous work gesture profile for web services(GPWS). To provide user identification functionality, GS-CPE introduces a two-phase cascading gesture password recognition algorithm for gesture-based user identification using a two-phase cascading classifier with the hidden Markov model and the Golden Section Search, which achieves an accuracy rate of 96.2% with a small training dataset. To support personalized gesture interaction, an enhanced version of the Dynamic Time Warping algorithm with multiple gestural input sources and dynamic template adaptation support is implemented. Our experimental results demonstrate the performance of the algorithm can achieve an average accuracy rate of 98.5% in practical scenarios. Comparison results reveal that GS-CPE has faster response time and higher accuracy rate than other gesture interaction systems designed for smart-home environments.

关键词： gesture interaction personalization gesture recognition user identification event-driven architec ture

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A testing framework architecture concept for automotive intrusion detection systems 7

A testing framework architecture concept for automotive intr...

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7. Tagung Automotive " Safety and Security 2017: Sicherheit und Zuverlassigkeit fur Automobile Informationstechnik - 7th Conference on Automotive - Safety and Security 2017: Safety and Reliability for Automotive Information Technology

作者： Corbett, Christopher Basic, Tobias Lukaseder, Thomas Kargl, Frank Audi AG Ingolstadt85045 Germany TU Darmstadt Department of Computer Science Germany Ulm University Institute of Distributed Systems Germany

ISBN: (纸本)9783885796633

Vehicles are the target of a rising number of hacking attacks. The integration of in-vehicle intrusion detection systems is a common approach to increase the overall system security. However' testing and evaluating these systems is difficult due to the lack of tools to generate realistic benign and malicious workloads as well as sharing these workloads with other researchers. Currently' testing tools are predominantly intended for Network Intrusion Detection System (NIDS) in company or industrial networks where their usefulness became apparent. Yet' in the automotive domain' development of testing tools is still in the early stages. Existing non-commercial automotive tools only focuson one specific bus technology each. However' in-vehicle communication exceeds bus technologyboundaries and a testing tool must cover multiple technologies. We propose a framework architecture concept for in-vehicle NIDS testing and evaluation to enable the creation of realistic network traffic and attacks in consideration of automotive specific challenges. Our concept provides the opportunity to share data without additional anonymization effort therefore improving cooperation and reproducibility of testing results.

关键词： Vehicles

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Checkpointing distributed application running on mobile ad hoc networks

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International Journal of High Performance Computing and Networking 2018年第2期11卷 95-107页

作者： Mansouri, Houssem Badache, Nadjib Aliouat, Makhlouf Pathan, Al-Sakib Khan Department of Computer Science Faculty of Exact Sciences University of Bejaia Bejaia06000 Algeria Research Center on Scientific and Technical Information CERIST Ben-Aknoun Algiers16000 Algeria Laboratory of Networks and Distributed Systems Computer Science Department University of Ferhat Abbas Stif1 Stif19000 Algeria Faculty of Computer and Information Systems Islamic University in Madinah Madinah al-Munawwarah Saudi Arabia CSE Department University of Asia Pacific Bangladesh

Mobile ad hoc network (MANET) is a type of wireless network consisting of a set of self-configured mobile hosts that can communicate with each other using wireless links without the assistance of any fixed infrastructure. This has made it possible for us to create distributed mobile computing applications and has also brought several new challenges in the field of distributed algorithm design. Checkpointing is a well explored fault tolerance technique for the wired and cellular mobile networks. However, it is not directly applicable to MANET owing to its dynamic topology, limited availability of stable storage, partitioning and the absence of fixed infrastructure. In this paper, we propose an adaptive, coordinated and non-blocking checkpointing algorithm to provide fault tolerance in cluster-based MANET, where only a minimum number of mobile hosts in the cluster should take checkpoints. The performance analysis and simulation results show that the proposed scheme requires less coordinating-message cost and performs well compared to the related previous works. Copyright ? 2018 Inderscience Enterprises Ltd.

关键词： Fault tolerance

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2nd Context-aware, Autonomous and Smart Architectures International Workshop (CASA@ECSA 2018) 12

2nd Context-aware, Autonomous and Smart Architectures Intern...

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12th European Conference on Software Architecture, ECSA 2018

作者： Raibulet, C. Bures, T. Drira, K. Fugini, M.G. Rodrigues, G. Nunes Pelliccione, P. Università degli Studi di Milano- Bicocca DISCo-Dipartimento di Informatica Sistemistica e Comunicazione Viale Sarca Milan336 Italy Charles University Department of Distributed and Dependable Systems Malostranske namesti 25 Praha 1 Czech Republic LAAS-CNRS Université de Toulouse CNRS ToulouseF-31400 France Politecnico di Milano Department of Electronics Information and Bioengineering Leonardo da Vinci 32 Milan Italy University of Brasilia Computer Science Department Brazil Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering Gothenburg Sweden

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MoDeNA: Enhancing user security for devices in wireless personal and local area networks 11th

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11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2017

作者： Müller, Robert Waldvogel, Marcel Schmitt, Corinna Distributed Systems Laboratory Department of Computer and Information Science University of Konstanz Konstanz78457 Germany Communication Systems Group CSG Department of Informatics IfI University of Zurich UZH Binzmühlestrasse 14 Zurich8050 Switzerland

ISBN: (纸本)9783319607733

Today most used devices are connected with each other building the Internet of Things (IoT). A variety of protocols are used depending on the underlying network infrastructure, application (e.g., Smart City, eHealth), and device capability. The judgment of the security feeling of the data sharing depends on personal settings (e.g., easy to use, encrypted transmission, anonymization support). MoDeNA – a Mobile Device Network Assistant – was developed offering an opportunity for understanding the judgment of security by bringing the user’s concerns and their technology understanding of used devices and protocols into relation. MoDeNA provides a transparent overview over the used wireless security of the user’s device giving concrete advices for improving the connection security and usability of mobile device security. © The Author(s) 2017.

关键词： Network security

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Evaluating Forecasting Techniques for Integrating Household Energy Prosumers into Smart Grids

Evaluating Forecasting Techniques for Integrating Household ...

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IEEE International Conference on Intelligent computer Communication and Processing

作者： Teodor Petrican Andreea Valeria Vesa Marcel Antal Claudia Pop Tudor Cioara Ionut Anghel Ioan Salomie Department of Computer Science Technical University of Cluj-Napoca Distributed Systems Research Laboratory

This paper tackles the problem of integrating house-hold energy prosumers in Smart Energy Grids by analyzing a set of state-of-the-art energy forecasting techniques that allow individual or aggregated prosumers to evaluate their future energy demand and inform the distributed System Operator (DSO) about potential grid imbalances. Thus, the DSO can perform a proactive strategy to manage the grid and avoid problems before they appear. The key element of this approach is the prediction technique, that must be accurate enough such that the resulting grid imbalances can be compensated in real-time. The paper evaluates a set of state-of-the-art statistical and Machine Learning (ML) prediction techniques, such as SARIMA, feed-forward and recurrent neural networks, support vector regression or ensemble prediction models, on real household historical energy demand logs by performing a feature selection process for each ML algorithm as to identify the best elements that influence the energy demand of a house. A set of experiments are performed on the REFIT Electrical Load Measurements data set evaluating each model's performance with respect to the selected features. Among the evaluated algorithms, the Ensemble Prediction Model gives best prediction accuracy, showing a Mean Absolute Percentage Error (MAPE) of 14.4% followed by the SVM model with a MAPE of 15.4%.

关键词： Smart Grids Energy Demand Forecasting Short-Term Load Forecasting Multi-layer Neural Network Recurrent Neural Networks Support Vector Regression

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Decoding Interleaved Gabidulin Codes using Alekhnovich's Algorithm

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Electronic Notes in Discrete Mathematics 2017年 57卷 175-180页

作者： Puchinger, Sven Müelich, Sven Mödinger, David Rosenkilde né Nielsen, Johan Bossert, Martin Institute of Communications Engineering Ulm University Ulm Germany Institute of Distributed Systems Ulm University Ulm Germany Department of Applied Mathematics & Computer Science Technical University of Denmark Lyngby Denmark

We prove that Alekhnovich's algorithm can be used for row reduction of skew polynomial matrices. This yields an O(ℓ3n(ω+1)/2log⁡(n)) decoding algorithm for ℓ-Interleaved Gabidulin codes of length n, where ω is t... 详细信息

We prove that Alekhnovich's algorithm can be used for row reduction of skew polynomial matrices. This yields an O(ℓ³n^(ω+1)/2log⁡(n)) decoding algorithm for ℓ-Interleaved Gabidulin codes of length n, where ω is the matrix multiplication exponent. © 2017 Elsevier B.V.

关键词： Characteristic Zero Gabidulin Codes Low-Rank Matrix Recovery

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A review of PROFIBUS protocol vulnerabilities: Considerations for implementing authentication and authorization controls 14

A review of PROFIBUS protocol vulnerabilities: Consideration...

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14th International Joint Conference on e-Business and Telecommunications, ICETE 2017

作者： Watson, Venesa Lou, Xinxin Gao, Yuan AREVA GmbH Erlangen Germany Faculty of Science and Engineering University of Siegen Siegen Germany Department of Computer Networks and Distributed Systems Bielefeld University Bielefeld Germany Department of Computer Science Otto-von-Guericke University Magdeburg Germany

ISBN: (纸本)9789897582592

PROFIBUS is a standard for fieldbus communication, used in industrial networks to support real-time command and control. Similar to network protocols developed then, availability is the security objective prioritized in the PROFIBUS design. Confidentiality and integrity were of lesser importance, as industrial protocols were not intended for public access. However, the publicized weaknesses in industrial technologies, including the inclusion of publicly available technology and protocols in industrial networks, presents major risks to industrial networks. This paper investigates the security risks of and provides suggested security solutions for PROFIBUS. The objective is to review the PROFIBUS protocol, to establish the purposefulness of the design and its suitability for the applications where it forms a core part of the infrastructure. The security risks of this protocol are then assessed from successful and possible attacks, based on the vulnerabilities. Proposed security solutions are reviewed and additional recommendations made concerning the use of OPC UA, accompanied by an analysis of the cost of these solutions to the efficiency and safety of the PROFIBUS. The findings of this paper indicate that a defense-in-depth approach is more feasible security solution, with strong security controls being implemented at networks interconnecting with the PROFIBUS networks. Copyright © 2017 by SCITEPRESS - science and Technology Publications, Lda. All rights reserved.

关键词： Authentication

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Entrans: Leveraging kinetic energy harvesting signal for transportation mode detection

arXiv

引用

arXiv 2018年

作者： Lany, Guohao Xu, Weitao Ma, Dong Khalifa, Sara Hassan, Mahbub Hu, Wen Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States College of Computer Science and Software Engineering Shenzhen University China School of Computer Science and Engineering University of New South Wales Sydney Australia Distributed Sensing Systems research group Data61 CSIRO Australia

Monitoring the daily transportation modes of an individual provides useful information in many application domains, such as urban design, real-time journey recommendation, as well as providing location-based services. In existing systems, accelerometer and GPS are the dominantly used signal sources for transportation context monitoring which drain out the limited battery life of the wearable devices very quickly. To resolve the high energy consumption issue, in this paper, we present EnTrans, which enables transportation mode detection by using only the kinetic energy harvester as an energy-efficient signal source. The proposed idea is based on the intuition that the vibrations experienced by the passenger during traveling with different transportation modes are distinctive. Thus, voltage signal generated by the energy harvesting devices should contain sufficient features to distinguish different transportation modes. We evaluate our system using over 28 hours of data, which is collected by eight individuals using a practical energy harvesting prototype. The evaluation results demonstrate that EnTrans is able to achieve an overall accuracy over 92% in classifying five different modes while saving more than 34% of the system power compared to conventional accelerometer-based approaches. Copyright © 2018, The Authors. All rights reserved.

关键词： Accelerometers

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