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Big Data Technologies and Applications

Overview of attention for book
Cover of 'Big Data Technologies and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 CTL-I: Infrared Few-Shot Learning via Omnidirectional Compatible Class-Incremental
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    Chapter 2 Can Federated Models Be Rectified Through Learning Negative Gradients?
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    Chapter 3 BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph
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    Chapter 4 STLGCN: Spatial-Temporal Graph Convolutional Network for Long Term Traffic Forecasting
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    Chapter 5 Image Forgery Detection Using Cryptography and Deep Learning
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    Chapter 6 Revocable Attribute-Based Encryption Scheme with Cryptographic Reverse Firewalls
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    Chapter 7 IoT Attacks Countermeasures: Systematic Review and Future Research Direction
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    Chapter 8 A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence
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    Chapter 9 Forest Fire Prediction Using Multi-Source Deep Learning
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    Chapter 10 Research on Preprocessing Process for Improved Image Generation Based on Contrast Enhancement
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    Chapter 11 An Auditable Framework for Evidence Sharing and Management Using Smart Lockers and Distributed Technologies: Law Enforcement Use Case
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    Chapter 12 A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities
Attention for Chapter 11: An Auditable Framework for Evidence Sharing and Management Using Smart Lockers and Distributed Technologies: Law Enforcement Use Case
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Chapter title
An Auditable Framework for Evidence Sharing and Management Using Smart Lockers and Distributed Technologies: Law Enforcement Use Case
Chapter number 11
Book title
Big Data Technologies and Applications
Published in
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, January 2024
DOI 10.1007/978-3-031-52265-9_11
Book ISBNs
978-3-03-152264-2, 978-3-03-152265-9
Authors

Onyeashie, Belinda I., Leimich, Petra, McKeown, Sean, Russell, Gordon

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