Availability, Reliability, and Security in Information Systems

Name: 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
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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

Francesco Buccafurri Andreas Holzinger Peter Kieseberg A. Min Tjoa Edgar Weippl(Herausgeber*in)

Springer (Verlag)

Erschienen am 22. August 2016

XII, 267 Seiten

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978-3-319-45507-5 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
The International Cross Domain Conference (CD-ARES 2016)
Algebra of RDF Graphs for Querying Large-Scale Distributed Triple-Store
1 Introduction
2 Related Work
3 Algebra of RDF Graphs
3.1 Ground Graphs and Graph Patterns
3.2 Definition of Algebra
3.3 Physical Algebra of RDF Graphs
4 Distributed Query Execution System
4.1 Architecture of Query Execution System
4.2 Query-Tree Process
4.3 Triple-Pattern Query Node
4.4 Join Query Node Process
4.5 Fault Tolerance
5 Experimental Results
6 Conclusions
References
Your Paper has been Accepted, Rejected, or Whatever: Automatic Generation of Scientific Paper Reviews
1 Introduction
2 Related Work
3 Our Approach
4 Experimental Evaluation
4.1 Intrinsic Evaluation
4.2 Extrinsic Evaluation
5 Conclusions
References
Generic UIs for Requesting Complex Products Within Distributed Market Spaces in the Internet of Everything
1 Introduction
2 Motivation and Background
2.1 The Application Context
2.2 Overall Objectives
3 Proposed Solution
3.1 Overview - Generic UIs for Complex Product Requests
3.2 Functional View - Processing Complex Product Demands
3.3 Information View - Ontologies in Detail
4 Demonstrator
5 Related Work
6 Conclusion and Future Work
References
Diagnosis of Complex Active Systems with Uncertain Temporal Observations
1 Introduction
2 Active Systems
3 Complex Active Systems
4 Uncertain Temporal Observations
5 Problem Formulation
6 Preprocessing
7 Problem Solving
8 Conclusion
References
A Cloud-Based Prediction Framework for Analyzing Business Process Performances
1 Introduction
2 Preliminaries
3 Reference Architecture for Distributed Data Mining
4 Formal Framework for Process Performance Prediction
5 Solution Approach to the Discovery of a PCB-PPM
6 Experimental Results
7 Conclusions
References
Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach
1 Introduction and Motivation for Research
2 Background
2.1 Problem Solving: Human Versus Computer
2.2 Traveling Salesman Problem (TSP)
3 Ant Algorithms
3.1 Ant Behaviour and Pheromone Trails
3.2 Inner Ant System for TSP
4 Experimental Method, Setting and Results
4.1 Experimental Method
4.2 Implementation Details
4.3 Experimental Results
5 Discussion and Future Research
6 Conclusion
References
A Threat to Friendship Privacy in Facebook
1 Introduction
2 Approach Formalization
2.1 Finding Alter Accounts
2.2 Selecting Candidates
2.3 Finding Common Friends
3 Preliminary Evaluation
4 Related Work
5 Conclusion
References
A Blockcipher Based Authentication Encryption
1 Introduction
1.1 Motivation
1.2 Contribution
1.3 Organization
2 Preliminaries Including Security Notions
2.1 Fundamental Notations
2.2 Blockcipher
2.3 Authentication Encryption
2.4 PRF Security
2.5 PRP Security
3 Proposed Authentication Encryption Scheme
3.1 Privacy Notion of AETp
3.2 Authenticity Notion of AETp
4 Security Analysis
4.1 Privacy Security Analysis
4.2 Authenticity Security Analysis
5 Conclusion
References
An Efficient Construction of a Compression Function for Cryptographic Hash
1 Introduction
2 Preliminaries
2.1 Ideal Cipher Model (ICM)
2.2 Security Definition
3 Proposed Scheme
4 Security Analysis
4.1 Collision Security Analysis
4.2 Preimage Security Analysis
5 Result Analysis
5.1 Collision Resistance Analysis
5.2 Efficiency-rate
5.3 Performance Analysis
6 Conclusion
References
Visualization Model for Monitoring of Computer Networks Security Based on the Analogue of Voronoi Diagrams
Abstract
1 Introduction
2 Review of Computer Network Visualization Techniques
3 The Proposed Graphical Model
4 Examples of Application of the Proposed Graphical Model
4.1 Description of the Visualisation System
4.2 Description of the Source Data
4.3 Example 1. Visualization of the State of Computer Network Security
4.4 Example 2. Visualization of the Attack Route
5 Evaluation of the Proposed Graphical Model
6 Discussion
7 Conclusion
Acknowledgements
References
Modeling Cyber Systemic Risk for the Business Continuity Plan of a Bank
1 Introduction
2 An Overview of GOReM
3 Modeling the Banking Cyber Systemic Risk
3.1 The Context Model: Banking Business Continuity
3.2 Scenario Model: Risk Treatment
3.3 Application Model: Cyber Systemic Risk for Banks in Italy
4 Results and Conclusions
References
Differentiating Cyber Risk of Insurance Customers: The Insurance Company Perspective
1 Introduction
2 Known Challenges for Assessing Cyber Risk of Insurance Customers
3 Study of Insurance Companies
3.1 Method
3.2 Results
4 Approaches to Efficient and Thorough Risk Assessments
4.1 Reusable Sector-Specific Risk Models
4.2 A Role for Managed Security Service Providers
5 Discussion
6 Conclusion
References
Special Session on Privacy Aware Machine Learning for Health Data Science (PAML 2016)
Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data
1 Introduction
2 High-Level Motivation for Data Privacy
3 Methodology for Data Anonymization in a Data Clustering Context
3.1 Some Notational Details
3.2 Distance Functions Over Non-Euclidean Spaces
4 Considering Differential Privacy as a Vector Quantization Problem
4.1 Moving Samples to Nearby Clusters
4.2 Anonymizing the Data Within a Cluster
5 Conclusions and Future Work
References
An Open-Source Object-Graph-Mapping Framework for Neo4j and Scala: Renesca
1 Introduction
1.1 Object-Graph Mapping
1.2 Neo4j and Scala
2 Our Contribution
3 Accessing Neo4j Using Renesca
3.1 Treat Query Results as Graphs Instead of Tables
3.2 Track Changes and Persist Later as One Unit of Work
3.3 Example Code
4 The Graph-Object Impedance Mismatch
4.1 The Renesca-Magic Abstraction Layer
4.2 Example Boilerplate Code
4.3 Additional Features Provided by Renesca-Magic
4.4 Traits and Relations to Traits
4.5 Hyperrelations
5 Performance Evaluation
5.1 Method
5.2 Results
5.3 Discussion
6 Fields of Application
6.1 Argument Mapping Systems
7 Conclusions and Future Work
A Boilerplate Code Example
References
Publishing Differentially Private Medical Events Data
1 Introduction
2 Background and Basic Definitions
2.1 Sequential Data
2.2 Cluster of Sequences
2.3 Differential Privacy
2.4 Markov Model
3 The Model
3.1 State & Time Markovian Model (STMM)
3.2 Modelling State Transitions
3.3 Dividing Sequences into Shorter Parts
3.4 Reconstructing Divided Sequences
3.5 Anonymizing the Model
3.6 Additional Statistics
4 Synthetic Data Generator
5 Performance Analysis
6 Conclusions
References
A Peer-to-Peer Protocol and System Architecture for Privacy-Preserving Statistical Analysis
1 Introduction
2 Related Work
3 Privacy-Preserving Statistical Analysis
3.1 System Architecture
3.2 Reference Implementation
3.3 Discussion
4 The Secure Summation Protocol
4.1 Background
4.2 The RASSP Protocol
5 Conclusions and Further Work
References
The Right to Be Forgotten: Towards Machine Learning on Perturbed Knowledge Bases
1 Introduction and Motivation for Research
2 Scenarios of Incurring Information Loss in Datasets
2.1 Selective Perturbation
2.2 Tabular Anonymization
2.3 Graph (Social Network) Anonymization
3 Experiments
3.1 Data
3.2 Algorithm
3.3 Process
4 Results and Discussion
5 Open Problems Future Challenges
6 Conclusion
References
Author Index

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