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Dependability in Sensor, Cloud, and Big Data Systems and Applications

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Cover of 'Dependability in Sensor, Cloud, and Big Data Systems and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Secrecy Outage Probability of Secondary System for Wireless-Powered Cognitive Radio Networks
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    Chapter 2 CodeeGAN: Code Generation via Adversarial Training
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    Chapter 3 Information Consumption Patterns from Big Data
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    Chapter 4 DHS-Voting: A Distributed Homomorphic Signcryption E-Voting
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    Chapter 5 Towards In-Network Generalized Trustworthy Data Collection for Trustworthy Cyber-Physical Systems
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    Chapter 6 QoS Based Clustering for Vehicular Networks in Smart Cities
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    Chapter 7 Searchable Attribute-Based Encryption Protocol with Hidden Keywords in Cloud
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    Chapter 8 A Comparative Study of Two Different Spam Detection Methods
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    Chapter 9 Towards Privacy-preserving Recommender System with Blockchains
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    Chapter 10 Integrating Deep Learning and Bayesian Reasoning
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    Chapter 11 Assessing the Dependability of Apache Spark System: Streaming Analytics on Large-Scale Ocean Data
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    Chapter 12 On the Assessment of Security and Performance Bugs in Chromium Open-Source Project
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    Chapter 13 Medical Image Segmentation by Combining Adaptive Artificial Bee Colony and Wavelet Packet Decomposition
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    Chapter 14 Recommender System for Decentralized Cloud Manufacturing
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    Chapter 15 Gait Analysis for Gender Classification in Forensics
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    Chapter 16 Hybrid Cloud Computing Architecture Based on Open Source Technology
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    Chapter 17 Transportation and Charging Schedule for Autonomous Electric Vehicle Riding-Sharing System Considering Battery Degradation
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    Chapter 18 Blockchain-Powered Service Migration for Uncertainty-Aware Workflows in Edge Computing
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    Chapter 19 Towards the Design of a Covert Channel by Using Web Tracking Technologies
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    Chapter 20 Dependable Person Recognition by Means of Local Descriptors of Dynamic Facial Features
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    Chapter 21 From Data Disclosure to Privacy Nudges: A Privacy-Aware and User-Centric Personal Data Management Framework
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    Chapter 22 A Socio-Technical and Co-evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems
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    Chapter 23 Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling
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    Chapter 24 Application of Internet of Things and GIS in Power Grid Emergency Command System
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    Chapter 25 Visualized Panoramic Display Platform for Transmission Cable Based on Space-Time Big Data
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    Chapter 26 Optimal Personalized DDoS Attacks Detection Strategy in Network Systems
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    Chapter 27 AI and Its Risks in Android Smartphones: A Case of Google Smart Assistant
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    Chapter 28 A Light-Weight Framework for Pre-submission Vetting of Android Applications in App Stores
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    Chapter 29 Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme
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    Chapter 30 Demand Forecasting Method Using Artificial Neural Networks
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    Chapter 31 Analyzing and Predicting Power Consumption Profiles Using Big Data
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    Chapter 32 A New Intrusion Detection Model Based on GRU and Salient Feature Approach
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    Chapter 33 Research on Electronic Evidence Management System Based on Knowledge Graph
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    Chapter 34 Research on Security Supervision on Wireless Network Space in Key Sites
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    Chapter 35 Review of the Electric Vehicle Charging Station Location Problem
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    Chapter 36 Structural Vulnerability of Power Grid Under Malicious Node-Based Attacks
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    Chapter 37 Electric Power Grid Invulnerability Under Intentional Edge-Based Attacks
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    Chapter 38 Design and Evaluation of a Quorum-Based Hierarchical Dissemination Algorithm for Critical Event Data in Massive IoTs
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    Chapter 39 Comparative Analysis on Raster, Spiral, Hilbert, and Peano Mapping Pattern of Fragile Watermarking to Address the Authentication Issue in Healthcare System
Attention for Chapter 22: A Socio-Technical and Co-evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems
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Chapter title
A Socio-Technical and Co-evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems
Chapter number 22
Book title
Dependability in Sensor, Cloud, and Big Data Systems and Applications
Published by
Springer, Singapore, November 2019
DOI 10.1007/978-981-15-1304-6_22
Book ISBNs
978-9-81-151303-9, 978-9-81-151304-6
Authors

Tasmina Islam, Ingolf Becker, Rebecca Posner, Paul Ekblom, Michael McGuire, Hervé Borrion, Shujun Li, Islam, T, Becker, I, Posner, R, Ekblom, P, McGuire, M, Borrion, H, Li, S, Islam, Tasmina, Becker, Ingolf, Posner, Rebecca, Ekblom, Paul, McGuire, Michael, Borrion, Hervé, Li, Shujun

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 4 9%
Student > Bachelor 4 9%
Student > Postgraduate 3 7%
Student > Master 3 7%
Other 5 11%
Unknown 20 43%
Readers by discipline Count As %
Computer Science 18 39%
Social Sciences 3 7%
Agricultural and Biological Sciences 1 2%
Psychology 1 2%
Engineering 1 2%
Other 0 0%
Unknown 22 48%