| Description |
1 online resource. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Cognitive data science in sustainable computing |
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Cognitive data science in sustainable computing.
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| Contents |
Intro -- Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems -- Copyright -- Contents -- Contributors -- About the editors -- Preface -- Chapter 1: Integration of E-health and Internet of Things -- 1. Introduction -- 2. Overview of protocol stack in IoT networks -- 3. Scheduling protocols for best effort IoT networks -- 4. Routing protocol for best effort IoT networks -- 4.1. Reactive-based AODV-RPL protocol for deterministic IoT networks -- 4.2. Overview of AODV-RPL mode of operation (MoP) -- 4.3. RREQ option -- 4.4. RREP option -- 4.5. Gratuitous RREP |
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5. Experimental results -- 6. Conclusion -- References -- Chapter 2: Industry 4.0 technologies for healthcare: Applications, opportunities, and challenges -- 1. Introduction -- 2. Literature review -- 2.1. ICT for Health 4.0 -- 2.2. IoT in Health 4.0 -- 2.3. Cloud and fog computing in Health 4.0 -- 2.4. Big data in Health 4.0 -- 3. Findings -- 3.1. Applications for Health 4.0 -- 3.1.1. Health monitoring -- 3.1.2. Prevention and self-management -- 3.1.3. Smart medication and monitoring -- 3.1.4. Precision medicine -- 3.1.5. Cloud-based health information systems |
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3.1.6. Telemedicine for disease monitoring -- 4. Transformation case of the pharmaceutical industry -- 5. Opportunities and challenges -- 6. Future insights -- 7. Conclusions -- References -- Chapter 3: Integrated machine learning techniques for preserving privacy in Internet of Things (IoT) systems -- 1. Introduction -- 2. IoT and its architecture -- 2.1. IoT elements -- 2.1.1. Identification -- 2.1.2. Communication -- 2.1.3. Sensing -- 2.1.4. Computation -- 2.2. IoT architecture layer -- 2.2.1. Perception layer -- 2.2.2. Network layer -- 2.2.3. Application layer |
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2.3. IoT application and services -- 2.3.1. Smart cities -- 2.3.2. Smart home -- 2.3.3. Smart transport -- 2.3.4. Smart healthcare -- 2.3.5. Smart agriculture -- 3. IoT and its security -- 3.1. IoT security requirements -- 3.2. Security attacks in IoT and their sources -- 3.2.1. Perception layer attacks -- 3.2.2. Network layer attacks -- 3.2.3. Application layer attacks -- 3.3. IoT issues and challenges -- 3.4. Motivation for ML in IoT -- 4. Machine learning algorithms -- 4.1. Supervised learning -- 4.1.1. Regression techniques -- Linear regression -- Logistic regression -- Nonlinear regression |
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4.1.2. Classification techniques -- Support vector machine (SVM) -- K nearest neighbor (KNN) -- Decision trees -- 4.2. Unsupervised learning -- 4.2.1. K-means clustering -- 4.2.2. Fuzzy C-means clustering -- 4.3. SSL -- 4.4. Reinforcement learning -- 5. ML for IoT -- 5.1. ML for privacy-Protecting applications -- 5.2. ML-based authentication and access control in IoT -- 5.3. ML-based attack and mitigation in IoT -- 5.4. ML-based techniques to address DoS and distributed DoS (DDoS) attacks -- 5.5. ML-based anomaly or intrusion detection system (IDS) in IoT -- 5.6. ML-based malware analysis in IoT |
| Note |
Includes index. |
| Subject |
Medical informatics -- Security measures.
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Blockchains (Databases)
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Internet of things -- Security measures.
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Médecine -- Informatique -- Sécurité -- Mesures.
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Chaînes de blocs.
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Internet des objets -- Sécurité -- Mesures.
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Blockchains (Databases)
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| Genre/Form |
Electronic books.
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| Added Author |
Bhushan, Bharat, 1989- editor.
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Sharma, Sudhir Kumar, editor.
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Saracevic, Muzafer, editor.
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Boulmakoul, Azedine, editor.
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| Other Form: |
Print version: Blockchain technology solutions for the security of IoT-based healthcare systems 9780323991995 (OCoLC)1350637495 |
| ISBN |
0323993915 (electronic book) |
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9780323993913 (electronic book) |
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9780323991995 (paperback) |
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0323991998 |
| Standard No. |
AU@ 000073485925 |
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UKMGB 020802941 |
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