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Data and Applications Security and Privacy XXXII

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Cover of 'Data and Applications Security and Privacy XXXII'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling and Mitigating the Insider Threat of Remote Administrators in Clouds
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    Chapter 2 Blockchain-Based Auditing of Transparent Log Servers
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    Chapter 3 Probabilistic Event Graph to Model Safety and Security for Diagnosis Purposes
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    Chapter 4 Enabling the Deployment of ABAC Policies in RBAC Systems
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    Chapter 5 Policy Languages and Their Suitability for Trust Negotiation
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    Chapter 6 Role of Apps in Undoing of Privacy Policies on Facebook
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    Chapter 7 Towards Adaptive Access Control
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    Chapter 8 Oblivious Dynamic Searchable Encryption on Distributed Cloud Systems
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    Chapter 9 Privacy-Preserving Planarity Testing of Distributed Graphs
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    Chapter 10 Image Pixelization with Differential Privacy
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    Chapter 11 Data Integrity Verification in Column-Oriented NoSQL Databases
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    Chapter 12 A Novel Hybrid Password Authentication Scheme Based on Text and Image
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    Chapter 13 “It’s Shocking!": Analysing the Impact and Reactions to the A3: Android Apps Behaviour Analyser
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    Chapter 14 FlowConSEAL: Automatic Flow Consistency Analysis of SEAndroid and SELinux Policies
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    Chapter 15 On Understanding Permission Usage Contextuality in Android Apps
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    Chapter 16 Private yet Efficient Decision Tree Evaluation
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    Chapter 17 Breaking and Fixing the Security Proof of Garbled Bloom Filters
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    Chapter 18 USBlock: Blocking USB-Based Keypress Injection Attacks
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    Chapter 19 Virtually Isolated Network: A Hybrid Network to Achieve High Level Security
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    Chapter 20 Fingerprinting Crowd Events in Content Delivery Networks: A Semi-supervised Methodology
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    Chapter 21 Assessing Attack Impact on Business Processes by Interconnecting Attack Graphs and Entity Dependency Graphs
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Title
Data and Applications Security and Privacy XXXII
Published by
Springer International Publishing, July 2018
DOI 10.1007/978-3-319-95729-6
ISBNs
978-3-31-995728-9, 978-3-31-995729-6
Editors

Kerschbaum, Florian, Paraboschi, Stefano

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Student > Ph. D. Student 8 16%
Researcher 5 10%
Student > Doctoral Student 3 6%
Lecturer 3 6%
Other 7 14%
Unknown 12 24%
Readers by discipline Count As %
Computer Science 31 63%
Engineering 2 4%
Mathematics 1 2%
Social Sciences 1 2%
Environmental Science 1 2%
Other 0 0%
Unknown 13 27%