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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 8: A Comparative Study of Two Different Spam Detection Methods
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Chapter title
A Comparative Study of Two Different Spam Detection Methods
Chapter number 8
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_8
Book ISBNs
978-9-81-151303-9, 978-9-81-151304-6
Authors

Haoyu Wang, Bingze Dai, Dequan Yang, Wang, Haoyu, Dai, Bingze, Yang, Dequan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%