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Security and Privacy in Communication Networks

Overview of attention for book
Cover of 'Security and Privacy in Communication Networks'

Table of Contents

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    Book Overview
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    Chapter 1 A Secure Remote Monitoring Framework Supporting Efficient Fine-Grained Access Control and Data Processing in IoT
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    Chapter 2 Securing the Smart Home via a Two-Mode Security Framework
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    Chapter 3 Out of Kilter: Holistic Exploitation of Denial of Service in Internet of Things
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    Chapter 4 Augmented Chain of Ownership: Configuring IoT Devices with the Help of the Blockchain
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    Chapter 5 Secure and Efficient Multi-Party Directory Publication for Privacy-Preserving Data Sharing
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    Chapter 6 A Formal Logic Framework for the Automation of the Right to Be Forgotten
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    Chapter 7 Privacy-Preserving Biometric-Based Remote User Authentication with Leakage Resilience
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    Chapter 8 Differentially Private High-Dimensional Data Publication via Markov Network
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    Chapter 9 Automated Identification of Sensitive Data via Flexible User Requirements
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    Chapter 10 Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild
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    Chapter 11 Transparent Low-Latency Network Anonymisation for Mobile Devices
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    Chapter 12 Inferring UI States of Mobile Applications Through Power Side Channel Exploitation
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    Chapter 13 PoliteCamera: Respecting Strangers’ Privacy in Mobile Photographing
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    Chapter 14 Lexical Mining of Malicious URLs for Classifying Android Malware
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    Chapter 15 GranDroid: Graph-Based Detection of Malicious Network Behaviors in Android Applications
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    Chapter 16 FGFDect: A Fine-Grained Features Classification Model for Android Malware Detection
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    Chapter 17 An Adaptive Primary User Emulation Attack Detection Mechanism for Cognitive Radio Networks
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    Chapter 18 VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs
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    Chapter 19 Birds of a Feather Flock Together: Fuzzy Extractor and Gait-Based Robust Group Secret Key Generation for Smart Wearables
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    Chapter 20 Unchained Identities: Putting a Price on Sybil Nodes in Mobile Ad Hoc Networks
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    Chapter 21 Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions
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    Chapter 22 Privacy-Enhanced Fraud Detection with Bloom Filters
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    Chapter 23 FriSM: Malicious Exploit Kit Detection via Feature-Based String-Similarity Matching
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    Chapter 24 A Machine Learning Framework for Studying Domain Generation Algorithm (DGA)-Based Malware
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    Chapter 25 Se-Lambda: Securing Privacy-Sensitive Serverless Applications Using SGX Enclave
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    Chapter 26 CAVAS: Neutralizing Application and Container Security Vulnerabilities in the Cloud Native Era
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    Chapter 27 Shuffler: Mitigate Cross-VM Side-Channel Attacks via Hypervisor Scheduling
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    Chapter 28 Building Your Private Cloud Storage on Public Cloud Service Using Embedded GPUs
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    Chapter 29 Secure and Efficient Outsourcing of Large-Scale Overdetermined Systems of Linear Equations
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    Chapter 30 Privacy-Preserving Multiparty Learning for Logistic Regression
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    Chapter 31 Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud
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    Chapter 32 A Verifiable and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data with Accuracy Improvement
Overall attention for this book and its chapters
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Title
Security and Privacy in Communication Networks
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01701-9
ISBNs
978-3-03-001700-2, 978-3-03-001701-9
Editors

Beyah, Raheem, Chang, Bing, Li, Yingjiu, Zhu, Sencun

X Demographics

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Other 1 8%
Lecturer 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 7 54%
Engineering 2 15%
Unknown 4 31%