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Availability, Reliability, and Security in Information Systems

IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Francesco Buccafurri

    1. University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

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  2. Andreas Holzinger

    1. Medical University Graz, Graz, Austria

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  3. Peter Kieseberg

    1. SBA Research, Vienna, Austria

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  4. A Min Tjoa

    1. Vienna University of Technology, Vienna, Austria

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  5. Edgar Weippl

    1. SBA Research, Vienna, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9817)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: CD-ARES 2016.

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Table of contents (17 papers)

  1. Front Matter

    Pages I-XII
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  2. The International Cross Domain Conference (CD-ARES 2016)

    1. Front Matter

      Pages 1-1
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    2. Algebra of RDF Graphs for Querying Large-Scale Distributed Triple-Store

      • Iztok Savnik, Kiyoshi Nitta
      Pages 3-18

    3. Your Paper has been Accepted, Rejected, or Whatever: Automatic Generation of Scientific Paper Reviews

      • Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao
      Pages 19-28

    4. Generic UIs for Requesting Complex Products Within Distributed Market Spaces in the Internet of Everything

      • Michael Hitz, Mirjana Radonjic-Simic, Julian Reichwald, Dennis Pfisterer
      Pages 29-44

    5. Diagnosis of Complex Active Systems with Uncertain Temporal Observations

      • Gianfranco Lamperti, Xiangfu Zhao
      Pages 45-62

    6. A Cloud-Based Prediction Framework for Analyzing Business Process Performances

      • Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri
      Pages 63-80

    7. Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach

      • Andreas Holzinger, Markus Plass, Katharina Holzinger, Gloria Cerasela Crişan, Camelia-M. Pintea, Vasile Palade
      Pages 81-95

    8. A Threat to Friendship Privacy in Facebook

      • Francesco Buccafurri, Gianluca Lax, Serena Nicolazzo, Antonino Nocera
      Pages 96-105

    9. A Blockcipher Based Authentication Encryption

      • Rashed Mazumder, Atsuko Miyaji, Chunhua Su
      Pages 106-123

    10. An Efficient Construction of a Compression Function for Cryptographic Hash

      • Rashed Mazumder, Atsuko Miyaji, Chunhua Su
      Pages 124-140

    11. Visualization Model for Monitoring of Computer Networks Security Based on the Analogue of Voronoi Diagrams

      • Maxim Kolomeets, Andrey Chechulin, Igor Kotenko
      Pages 141-157

    12. Modeling Cyber Systemic Risk for the Business Continuity Plan of a Bank

      • Angelo Furfaro, Teresa Gallo, Domenico Saccà
      Pages 158-174

    13. Differentiating Cyber Risk of Insurance Customers: The Insurance Company Perspective

      • Inger Anne Tøndel, Fredrik Seehusen, Erlend Andreas Gjære, Marie Elisabeth Gaup Moe
      Pages 175-190

  3. Special Session on Privacy Aware Machine Learning for Health Data Science (PAML 2016)

    1. Front Matter

      Pages 191-191
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    2. Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data

      • Yoan Miche, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse et al.
      Pages 193-203

    3. An Open-Source Object-Graph-Mapping Framework for Neo4j and Scala: Renesca

      • Felix Dietze, Johannes Karoff, André Calero Valdez, Martina Ziefle, Christoph Greven, Ulrik Schroeder
      Pages 204-218

    4. Publishing Differentially Private Medical Events Data

      • Sigal Shaked, Lior Rokach
      Pages 219-235

    5. A Peer-to-Peer Protocol and System Architecture for Privacy-Preserving Statistical Analysis

      • Katerina Zamani, Angelos Charalambidis, Stasinos Konstantopoulos, Maria Dagioglou, Vangelis Karkaletsis
      Pages 236-250

    6. The Right to Be Forgotten: Towards Machine Learning on Perturbed Knowledge Bases

      • Bernd Malle, Peter Kieseberg, Edgar Weippl, Andreas Holzinger
      Pages 251-266
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  1. Availability, Reliability, and Security in Information Systems

Keywords

About this book

This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with the International Conference on Availability, Reliability and Security, ARES 2016, held in Salzburg, Austria, in September 2016. The 13 revised full papers and 4 short papers presented were carefully reviewed and selected from 23 submissions. They are organized in the following topical sections: Web and semantics; diagnosis, prediction and machine learning; security and privacy; visualization and risk management; and privacy aware machine learning for health data science.




Editors and Affiliations

  • University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Francesco Buccafurri

  • Medical University Graz, Graz, Austria

    Andreas Holzinger

  • SBA Research, Vienna, Austria

    Peter Kieseberg, Edgar Weippl

  • Vienna University of Technology, Vienna, Austria

    A Min Tjoa

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