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CD-ARES 2016: Salzburg, Austria
- Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa
, Edgar R. Weippl:
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. Lecture Notes in Computer Science 9817, Springer 2016, ISBN 978-3-319-45506-8
The International Cross Domain Conference (CD-ARES 2016)
- Iztok Savnik, Kiyoshi Nitta
Algebra of RDF Graphs for Querying Large-Scale Distributed Triple-Store. 3-18 - Alberto Bartoli
Your Paper has been Accepted, Rejected, or Whatever: Automatic Generation of Scientific Paper Reviews. 19-28 - Michael Hitz, Mirjana Radonjic-Simic
Generic UIs for Requesting Complex Products Within Distributed Market Spaces in the Internet of Everything. 29-44 - Gianfranco Lamperti
Diagnosis of Complex Active Systems with Uncertain Temporal Observations. 45-62 - Eugenio Cesario
A Cloud-Based Prediction Framework for Analyzing Business Process Performances. 63-80 - Andreas Holzinger
Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach. 81-95 - Francesco Buccafurri, Gianluca Lax
A Threat to Friendship Privacy in Facebook. 96-105 - Rashed Mazumder, Atsuko Miyaji
A Blockcipher Based Authentication Encryption. 106-123 - Rashed Mazumder, Atsuko Miyaji
An Efficient Construction of a Compression Function for Cryptographic Hash. 124-140 - Maxim Kolomeets
Visualization Model for Monitoring of Computer Networks Security Based on the Analogue of Voronoi Diagrams. 141-157 - Angelo Furfaro
Modeling Cyber Systemic Risk for the Business Continuity Plan of a Bank. 158-174 - Inger Anne Tøndel, Fredrik Seehusen, Erlend Andreas Gjære, Marie Elisabeth Gaup Moe
Differentiating Cyber Risk of Insurance Customers: The Insurance Company Perspective. 175-190
Special Session on Privacy Aware Machine Learning for Health Data Science (PAML 2016)
- Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk:
Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. 193-203 - Felix Dietze, Johannes Karoff, André Calero Valdez
An Open-Source Object-Graph-Mapping Framework for Neo4j and Scala: Renesca. 204-218 - Sigal Shaked, Lior Rokach:
Publishing Differentially Private Medical Events Data. 219-235 - Katerina Zamani, Angelos Charalambidis
A Peer-to-Peer Protocol and System Architecture for Privacy-Preserving Statistical Analysis. 236-250 - Bernd Malle, Peter Kieseberg
The Right to Be Forgotten: Towards Machine Learning on Perturbed Knowledge Bases. 251-266
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