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Data and Applications Security and Privacy XXXIII

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Cover of 'Data and Applications Security and Privacy XXXIII'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detecting Adversarial Attacks in the Context of Bayesian Networks
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    Chapter 2 AGBuilder: An AI Tool for Automated Attack Graph Building, Analysis, and Refinement
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    Chapter 3 On Practical Aspects of PCFG Password Cracking
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    Chapter 4 That’s My DNA: Detecting Malicious Tampering of Synthesized DNA
  6. Altmetric Badge
    Chapter 5 Adversarial Sampling Attacks Against Phishing Detection
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    Chapter 6 Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping
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    Chapter 7 Droids in Disarray: Detecting Frame Confusion in Hybrid Android Apps
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    Chapter 8 Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks
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    Chapter 9 “When and Where Do You Want to Hide?” – Recommendation of Location Privacy Preferences with Local Differential Privacy
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    Chapter 10 Analysis of Privacy Policies to Enhance Informed Consent
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    Chapter 11 Lost in TLS? No More! Assisted Deployment of Secure TLS Configurations
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    Chapter 12 Contributing to Current Challenges in Identity and Access Management with Visual Analytics
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    Chapter 13 Analysis of Multi-path Onion Routing-Based Anonymization Networks
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    Chapter 14 Shoal: Query Optimization and Operator Placement for Access Controlled Stream Processing Systems
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    Chapter 15 A Distributed Ledger Approach to Digital Twin Secure Data Sharing
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    Chapter 16 Refresh Instead of Revoke Enhances Safety and Availability: A Formal Analysis
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    Chapter 17 Wrangling in the Power of Code Pointers with ProxyCFI
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    Chapter 18 CASFinder: Detecting Common Attack Surface
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    Chapter 19 Algorithm Diversity for Resilient Systems
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    Chapter 20 Online Malware Detection in Cloud Auto-scaling Systems Using Shallow Convolutional Neural Networks
  22. Altmetric Badge
    Chapter 21 Redirecting Malware’s Target Selection with Decoy Processes
Attention for Chapter 6: Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping
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Chapter title
Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping
Chapter number 6
Book title
Data and Applications Security and Privacy XXXIII
Published by
Springer, Cham, July 2019
DOI 10.1007/978-3-030-22479-0_6
Book ISBNs
978-3-03-022478-3, 978-3-03-022479-0
Authors

Jacob Leon Kröger, Philip Raschke, Kröger, Jacob Leon, Raschke, Philip

X Demographics

X Demographics

The data shown below were collected from the profiles of 90 X users 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 2 5%
Other 1 3%
Student > Bachelor 1 3%
Other 4 10%
Unknown 16 41%
Readers by discipline Count As %
Computer Science 13 33%
Business, Management and Accounting 3 8%
Social Sciences 2 5%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 17 44%