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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
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    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
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    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
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    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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