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Blockchain and IoT Based Smart Healthcare Systems
| Blockchain and IoT Based Smart Healthcare Systems |
| Autore | Kumar L. Ashok |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Sharjah : , : Bentham Science Publishers, , 2024 |
| Descrizione fisica | 1 online resource (306 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
RenukaD. Karthika
AgarwalSonali |
| Soggetto topico |
Internet of things
Blockchains (Databases) |
| ISBN |
9789815196290
9815196294 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Foreword -- Preface -- List of Contributors -- The Role of Emerging Technologies in Smart Health Care -- Jaskiranjit Kaur1,* and Parvesh Kumar2 -- INTRODUCTION -- Artificial Intelligence (AI) -- INITIATIVES ON AI -- Self-Diagnosis AI Apps -- AI is a Useful Tool for Emergency Medical Personnel -- Speeds Up the Invention and Improvement Of Genetic Remedy -- AI in Pandemic -- NANOTECHNOLOGY -- How Nano-medicines or Smart Pills Work? -- IoT -- Five-Layer Architecture of IoT -- Healthcare Monitoring Devices, Embedded Sensors -- IoT Device Trends and Anticipated Growth -- Key Market Insights -- Drone -- Transporting Devices and Materials -- Enable Backup Transport System in the Pandemic -- Delivering Organ Transfers -- Blockchain -- Machine Learning -- CONCLUSION -- REFERENCES -- An Overview of Blockchain in the Field of Smart Healthcare System -- Ramya E.1,* and Kumaresan N.2 -- INTRODUCTION -- MAJOR ISSUES AND CHALLENGES OF HEALTHCARE SYSTEMS -- ROLE OF BLOCKCHAIN IN THE HEALTHCARE SYSTEM -- BLOCKCHAIN APPLICATIONS IN HEALTHCARE -- ROLE OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN IN SMART HEALTHCARE SYSTEMS -- RECENT CHALLENGES TO BLOCKCHAIN IMPLEMENTATION IN IN THE HEALTHCARE SYSTEMS -- CONCLUSION AND FUTURE WORK OF BLOCKCHAIN IN THE FIELD OF SMART HEALTHCARE SYSTEMS -- REFERENCES -- Integration of Blockchain and Internet of Things -- R. Babu1,*, Jayashree K.2, Priya Vijay3 and Vijay K.3 -- INTRODUCTION -- BLOCKCHAIN -- Components of Blockchain -- Blockchain's Features -- Types of Blockchain -- INTERNET OF THINGS -- Features of IoT System -- Significant Utilization of IoT during the Covid-19 Pandemic -- INTEGRATION OF BLOCKCHAIN AND INTERNET OF THINGS -- RELATED WORK -- RESEARCH CHALLENGES OF IOT DATA ON BLOCKCHAIN -- FUTURE RESEARCH DIRECTIONS.
i. Machine Machine Learning-Based Solutions for BIoT Applications' Security and Privacy -- ii. Problems Arising from Decentralization's Technical Implementation -- iii. Blockchain Infrastructure -- iv. Governance, Regulations, and Legal Aspects -- v. Adaptability -- CONCLUSION AND FUTURE WORK -- REFERENCES -- Consequences and Deliberations in Implementation of Blockchain and Internet of Things Integration -- K. Karthigadevi1,* and G. Srinivasagan2 -- INTRODUCTION -- LITERATURE REVIEW -- Blockchain Types -- a. Public Blockchain -- b. Blockchain Consortium -- c. Personalized Blockchain -- i. The Transaction Between Performance, Power Consumption and Security -- ii. Cooperating Between Throughput and Concurrency: -- iii. Property Tests of IoT: -- iv. Difficulties for Preserving Transparency and Confidentiality in IoT -- v. Regulation and Difficulties of Blockchain Technology in IoT -- LIMITATIONS AND IOT APPLICATION ATTACKS -- Limitations in IoT of Wireless Sensor -- BLOCKCHAIN SECURITY ANALYSIS -- Improved Blockchain Security -- Decentralization -- Higher Traceability -- Reduced Cost -- Data Privacy -- Immutability -- Greater Transparency -- CONCLUSION -- REFERENCES -- Blockchain Integrated with Internet of Things-benefits, Challenges -- Geeta Amol Patil1,*, Surekha K.B.1, Chaithra V.1 and Anand Kumar S.2 -- INTRODUCTION -- AN OVERVIEW OF THE INTERNET OF THINGS -- Centralized Architecture of IoT -- AN OVERVIEW OF BLOCKCHAIN -- Components of Blockchain -- Design, Architecture and Methodology -- BENEFITS AND APPLICATIONS -- Benefits of Integrating IoT and Blockchain -- Applications of Integration of IoT a Blockchain -- CONCLUSION & -- FUTURE WORK -- REFERENCES -- Blockchain Powered Medical Sector - Application, Challenges and Future Research Scope -- Divya P.1,*, Saranya R.2 and Praveena V.3 -- INTRODUCTION -- COMPONENTS OF BLOCKCHAIN. LITERATURE REVIEW -- BLOCKCHAIN TECHNOLOGY IN MEDICAL SECTOR -- Significant Applications Blockchain for Healthcare -- Information Storage of a Patient -- Analyse the Effects of a Particular Procedure -- Validation -- Safety and Transparency -- Health Record Keeping -- Clinical Trial -- Display Information -- Identification of False Content -- Reduces Needless Overhead Expenses -- Patient Monitoring -- Create Research Initiatives -- Maintain Financial Statements -- Improves Safety -- Reduce Data Transformation Time and Cost -- Drug Traceability -- CHALLENGES IN HEALTHCARE BLOCKCHAIN ADAPTATION -- Data Collection and Storage -- Data Sharing and Interoperability -- The Need for a Socioeconomic Database -- CONCLUSION AND FUTURE WORK -- REFERENCES -- Blockchain in the Healthcare Domain and Performing Various Security Analysis -- Suresh Kumar Nagarajan1,*, Geetha Narasimhan2, Akila Victor2, Yash Vaish2 and Pranshu Tripathi2 -- INTRODUCTION -- LITERATURE SURVEY -- PROBLEM STATEMENT -- RESEARCH FRAMEWORK -- IMPLEMENTATION -- BitCoin Wallet -- TESTING -- RESULTS AND DISCUSSION -- Summary of the Website -- Website Screenshot -- Exchange Spoof Attack -- CONCLUSION AND FUTURE WORK -- REFERENCES -- IOT-Based Smart Healthcare System with Hybrid Key Generation and DNA Cryptography -- Vidhya E.1,* -- INTRODUCTION -- PROPOSED WORK -- Key Generation Process -- Encryption Process -- Decryption Process -- RESULTS AND DISCUSSION -- CONCLUSION AND FUTURE WORK -- REFERENCES -- Security Enhancement in Cloud and Edge Computing Through Blockchain Technology -- Santanu Koley1,* and Pinaki Pratim Acharjya1 -- INTRODUCTION -- CLOUD COMPUTING -- PRIVACY CHALLENGES IN CLOUD COMPUTING -- Data Confidentiality Issues -- Data Loss Issues -- Geographical Data Storage Issues -- Multi-Tenancy Security Issues -- Transparency Issues -- Hypervisor Related Issues -- Managerial Issues. BLOCKCHAIN -- Blockchain Introduces Benefits for Security and Privacy -- BLOCKCHAIN RESEARCH AREAS FROM A SECURITY AND PRIVACY PERSPECTIVE -- Healthcare -- Internet of Things -- Vehicular Cloudlet -- Payment and Loan -- Privacy-Preserved Tracking -- BLOCKCHAIN IN HEALTHCARE -- Healthcare Implementation Using Blockchain -- EDGE COMPUTING -- APPLYING BLOCKCHAIN IN EDGE COMPUTING TO IMPROVE SECURITY AND PRIVACY -- Anonymity -- Authentication -- Protocol Security -- Security and Privacy in Architecture -- Data Security -- Integrity -- Availability -- User Privacy -- ADVANTAGES OF COMBINING THE CLOUD COMPUTING NETWORK WITH BLOCKCHAIN TECHNOLOGY -- Cloud Computing with Hyperledger Blockchains -- Efficient Ownership Tracking -- Decentralization -- Increased Data Security -- Fault Tolerance -- Scalability -- Faster Disaster Recovery -- Micro Transactions -- Distributed Supercomputing -- Smartening Healthcare Sector -- Smart Manufacturing -- CONCLUSION AND FUTURE WORK -- ACKNOWLEDGEMENTS -- AUTHOR CONTRIBUTIONS -- REFERENCES -- Effective Automated Medical Image Segmentation Using Hybrid Computational Intelligence Technique -- Manoranjan Dash1,*, Raghu Indrakanti2 and M. Narayana2 -- INTRODUCTION -- RELATED WORKS -- DATABASE DETAILS -- METHODOLOGY -- RESULTS -- CONCLUSION AND FUTURE WORK -- REFERENCES -- IoT-Botnet Detection and Mitigation for Smart Healthcare Systems using Advanced Machine Learning Techniques -- S. Jayanthi1,* and A. Valarmathi2 -- INTRODUCTION -- Background Methodologies -- I. Botnet -- II. DDoS attack -- III. Security vulnerabilities in IoT -- THEME OF WORK -- LITERATURE REVIEW -- PROPOSED DETECTION METHOD -- A. ARCHITECTURE DIAGRAM -- 1. Collection of Dataset -- 2. Data Pre-processing -- 3. Feature Engineering -- 4. Training and Testing Data -- 5. Splitting of Data -- B. SUPPORT VECTOR MACHINE -- C. MULTI-LAYER PERCEPTRON (MLP) CLASSIFIERS. D. LIGHT GRADIENT BOOSTER MACHINE -- E. PSEUDOCODE -- PROPOSED APPROACH -- RESULTS & -- ANALYSIS -- Research Challenges Addressed -- CONCLUSION & -- FUTURE WORK -- REFERENCES -- Smart Healthcare Classifier - Skin Lesion Detection using a Revolutionary Light Weight Deep Learning Framework -- Sanjay V.1,*, Suresh Kumar Nagarajan2 and Sarvana Kumar S.3 -- INTRODUCTION -- RELATED WORKS -- DL Segmentation Techniques -- METHODOLOGY -- Number-theoretic First-order Cumulative Moment Algorithm -- RESULTS AND DISCUSSION -- CONCLUSION -- REFERENCES -- Recent Trends in Telemedicine, Challenges and Opportunities -- S. Kannadhasan1,*, R. Nagarajan2 and M. Shanmuganantham3 -- INTRODUCTION -- TELEMEDICINE -- HEALTHCARE -- INDUSTRY SECTOR -- MACHINE LEARNING -- APPLICATIONS OF BIOMEDICAL SECTOR -- CONCLUSION AND FUTURE WORK -- REFERENCES -- Sustainable Development for Smart Healthcare using Privacy-preserving Blockchain-based FL Framework -- D. Karthika Renuka1,*, R. Anusuya2 and L. Ashok Kumar2 -- INTRODUCTION -- RELATED WORKS -- PROPOSED METHODOLOGY -- i. Methodology Used -- ii. Modules Identified -- iii. Modules For Framework Selection -- iv. Modules For Privacy Preservation -- v. Module For Communication Efficient -- A). DATASET DESCRIPTION -- B). IMPLEMENTATION: MODULE 1-FL WITH FLOWER FRAME- WORK -- I). ALGORITHM -- Server -- Client -- II). IMPLEMENTATION -- C). MODULE 2-FL WITH PYSYFT FRAMEWORK -- I). ALGORITHM -- II). IMPLEMENTATION -- D). MODULE 3-FL WITH SECURE MULTIPARTY COMPUTATION -- E). MODULE 5: FL WITH DIFFERENTIAL PRIVACY -- I). ALGORITHM -- II). IMPLEMENTATION -- F). MATHEMATICAL EXPLANATION -- B). ATTACKS -- CONCLUSION AND FUTURE WORK -- REFERENCES -- Smart Ambulance for Emergency Cases to be Reported to Hospitals at the Earliest using Deep Learning Algorithms and Blockchain-based Distri- buted Health Record Transactions for smart Cities. V. Kavitha1,* and Partheeban Pon2. |
| Record Nr. | UNINA-9911009202403321 |
Kumar L. Ashok
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| Sharjah : , : Bentham Science Publishers, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Intelligence and Signal Processing : Proceedings of International Conference, MISP 2019 / / edited by Sonali Agarwal, Shekhar Verma, Dharma P. Agrawal
| Machine Intelligence and Signal Processing : Proceedings of International Conference, MISP 2019 / / edited by Sonali Agarwal, Shekhar Verma, Dharma P. Agrawal |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (464 pages) : color illustrations |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Signal processing Computer networks Electric power production Computational Intelligence Signal, Speech and Image Processing Computer Communication Networks Electrical Power Engineering |
| ISBN | 981-15-1366-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ring Partition Based Fingerprint Indexing Algorithm -- A Novel Approach for Music Recommendation System using Matrix Factorization Technique -- Generation of Image Captions using VGG and ResNet CNN Models Cascaded with RNN Approach -- Face Classification across Pose by Using Non-Linear Regression and Discriminatory Face Information -- Emotion Recognition from Facial Images for Tamil Language Speakers -- A Phase Noise Correction Scheme for Multi-channel Multi-echo SWI processing -- A Scanning Technique based on Selective Neighbour Channels in 802.11 Wi-Fi Networks -- Persistent Homology Techniques for Big Data and Machine Intelligence: A survey -- Concave Point Extraction: A Novel Method for WBC Segmentation in ALL Images -- Speech Emotion Recognition for Tamil Language Speakers -- Real Time RADAR and LIDAR Sensor Fusion for Automated Driving -- Generalizing Streaming Pipeline Design for Big - Data -- Adaptive Fast Composite Splitting Algorithm for MR Image Reconstruction -- Extraction of Technical and Non-technical skills for Optimal Project-Team Allocation -- Modified Flower Pollination Algorithm for Optimal Power Flow in Transmission Congestion -- Intelligent Condition Monitoring of a CI Engine Using Machine Learning and Artificial Neural Networks -- Bacterial Foraging Optimization in Non-identical Parallel Batch Processing Machines -- Healthcare Information Retrieval based on Neutrosophic Logic -- Convolutional Neural Network Long Short-Term Memory (CNN+LSTM) for Histopathology Cancer Image Classification -- Forecasting with Multivariate Fuzzy Time Series: A Statistical Approach -- Nature-Inspired Algorithm-Based Feature Optimization for Epilepsy Detection -- A Combined Machine-Learning Approach for Accurate Screening and Early Detection of Chronic Kidney Disease -- Backpropagation and Self Organizing Map Neural Network Methods for Identifying Types of Eggplant Fruit -- Head Pose Prediction while Tracking Lost in a Head Mounted Display -- Recommendation to Group of Users using The Relevance Concept -- ACA: Attention based Context-aware Answer selection system -- Dense and Partial Correspondence in Non-Parametric Scene Parsing -- Audio Surveillance System -- MOPSA: Multiple Output Prediction for Scalability and Accuracy -- Impact of Cluster Sampling on the Classification of Landsat-8 Remote Sensing Imagery -- Deep Neural Networks for Out-Of-Sample Classification of Non-Linear Manifolds -- FPGA implementation of LDPC Decoder -- A Multiclass Classi_cation of Epileptic Activity in Patients using Wavelet Decomposition -- Hexa-Directional Feature Extraction for Target-Specific Handwritten Digit Recognition -- Cardiovascular Disease Prediction using Machine Learning Tools -- Analysis of Global Motion Compensation and Polar Vector Median for Object Tracking Using St-MRF In Video Surveillance. |
| Record Nr. | UNINA-9910484297703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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