Blockchain-based edge computing for medical data storage & processing using federated learning

Blockchain-based edge computing for medical data storage & processing using federated learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiske detaljer
Main Authors:	Faiyaz, Fazle Rabbi, Lisa, Afrin Sultana, Rahat, Laisa, Tabassum, Nafisa, Istiaq, Walid Bin
Andre forfattere:	Mostakim, Moin
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	IoT Edge Computing Blockchain Federated Learning IPFS Edge computing
Online adgang:	http://hdl.handle.net/10361/14984

Lignende værker

Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim
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Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
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Analyzing security threats and mitigation techniques for fog computing in IoT-enabled smart cities
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Udgivet: (2024)

Secured Internet of Things (IoT) Model using Blockchain
af: Khan, Abdul Muneem, et al.
Udgivet: (2021)

Driver’s reputation management system using blockchain for smart city
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Udgivet: (2023)

Smartchain: a blockchain-based user authentication system for smart homes
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Udgivet: (2023)

Blockchain-based mental health solution system
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Udgivet: (2024)

Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
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Udgivet: (2017)

Blockchain-based micropayment system for secured cashless small payments
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Udgivet: (2022)

Federated ensemble-learning for transport mode detection in vehicular edge network
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Udgivet: (2023)

Simulating the transformation of plane triangulation using edge flip algorithms
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Udgivet: (2022)

Gender detection from frontal face images
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Udgivet: (2016)

Secure data transaction and data analysis of IOT devices using blockchain
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Udgivet: (2018)

Design and development of IoT based comprehensive system for emergency assistance
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Udgivet: (2021)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
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Udgivet: (2023)

Quantum capacitance in strained armchair Graphene nanoribbon considering Edge effect
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Udgivet: (2016)

IoT based real-time synchronized clock
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Udgivet: (2018)

Identification and comparative analysis of potholes using image processing algorithms
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Rejuvenating Kallyanpur Canal
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Udgivet: (2023)

Securing ownership management and transfer of consumer IoT devices with blockchain-based Self Sovereign Identity (SSI)
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Udgivet: (2023)

SSI-Federation: facilitating identity federation using self sovereign identity for Web-services
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Udgivet: (2024)

Cloud based smart parking system using IoT technology
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Udgivet: (2018)

Analysis on IOT Botnet and DDOS attack
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Udgivet: (2018)

A decentralized blockchain-based model to secure confidential medical information
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Udgivet: (2024)

IoT based health monitoring system for elderly people
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Udgivet: (2017)

Edge-optimized machine learning models for real-time personalized health monitoring on wearables
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Udgivet: (2024)

Ensure security in supply chain with blockchain technology
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IoT based health monitoring system for pregnant women & children
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Udgivet: (2022)

Fake currency detection using image processing method
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Udgivet: (2017)

Performance analysis of Fog and Cloud Nodes for Cognitive Internet of Things
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A federated learning approach for detecting Parkinson’s disease through privacy preserving by blockchain
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The influence of IoT-based agrotech system in Bangladesh on developing urban farming
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Authentication using blockchain
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Udgivet: (2023)

Efficient blockchain system based on proof of segmented work
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Udgivet: (2020)

Human identification using dental radiograph
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Udgivet: (2018)

Electronic voting system based on blockchain
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Udgivet: (2023)

UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
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Udgivet: (2021)

Link performance analysis of Unmanned Aerial Vehicles
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Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
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Udgivet: (2019)