Cloud Network Management: An IoT Based Framework - Cloud Network Management: An IoT Based Framework -

Abstract I: Evolution of IoT, Cloud Network and Network Mobility Evolution of Cloud Fog IoT Interconnection Networks Introduction Motivation and Contributions Evolution of Traditional cloud networks Into the Fog IoT Fog Cloud Interplay Challenges in IoT Fog Cloud Interplay Resource Management Inter and Intra Stratum Communication Cloud Fog Federation Applications of IoT Fog Cloud Interplay Healthcare Applications Connected Vehicles Smart City Applications Research Challenges and Solution Approach Conclusion Edge or Cloud: What to Choose?Introduction Background & Related Work Edge Based Learning Cloud Computing K Means Experiment Edge Based Learning Procedure Cloud Based Learning Procedure Experimental Objectives Setup Analysis CPU Utilization Memory Utilization Data Transmission Rate Power Consumption Energy Consumption Summary Findings Edge Based Learning Cloud based Learning Comparison Conclusion The Survey, Research Challenges, and Opportunities in ICN Introduction Internet architecture and working Research challenges and issues Information Centric Networks (ICN)Important terminologies used in ICN Concepts and components of Information Centric Networking ICN Naming Scheme Routing in ICN In Network Caching ICN Architectures Data Oriented Network Architecture (DONA)Named data Networking Other architectures Information Centric Networking based Internet of Things Why ICN for loT?IoT Architecture Requirements Significance of ICN for IoT IoT Requirements Mapping to ICN Characteristics ICN IoT network architectures In network Computation in Edge Computing and Cloud Computing Conclusion II: Standards and Protocol Security in Cloud Based IoT Introduction Motivation and Contribution Research Method and Research Challenge Cloud based IoT: Technologies and Design Issues Design Issues Cloud Based IoT: Security Threats Cloud Security Threats IoT and Cloud based IoT Security Threats Implementation aspects of Cloud based IoT Concluding Remarks Cloud Enabled Body Area Network Abstract Introduction Bio Sensor Nodes Body Area Network Communication Architecture Physical and MAC Layers of BAN Cryptographic Building Blocks Cryptographic Hash Function Homomorphic Encryption Bilinear Pairing Attribute Based Encryption Privacy and Security Security Notions in Cloud enabled BAN Attacks and Threats in Cloudenabled BAN Existing Security and Privacy Solutions in Cloud enabled BAN Authentication in BAN Key Management in BAN Conclusion Trust and Access Controls in IoT to Avoid Malicious Activity Introduction Threats, Vulnerabilities, and Access control Requirement in Internet of Things Threats Vulnerabilities The importance of Access controls and Trust of users Literature Review Problem formation Improved Trust calculation Simulations Access Controls on Sensitive Data Algorithm 1:Algorithm 2:Conclusions A Layered Internet of Things (IoT) Security Framework: Attacks, Counter Measures and Challenges Introduction Related Work Taxonomy of IoT Attacks Physical Layer Attacks (PLA)Physical Node Tampering Malicious Node Injection RFID Tag Cloning Wireless Sensor Network Layer Attacks (NLA)Jamming Attack Side Channel Attack MAC Spoofing Data Sensing and Acquisition Layer Attacks (DSAL)Malicious Code Traffic Monitoring Inefficient Logging Internet Layer Attacks (ILA)Jamming Attack False Routing Alteration and Spoofing Service Layer Attacks (SLA)Account Hijacking VM Escape Malicious VM Creation Data Abstraction Layer Attacks (DALA)Malicious node Injection Improper Queries Malicious Insider Interface Layer Attacks (ILA)Reverse Engineering Reprogramming Attack DDoS Attack Proposed IoT Security Framework Perception Layer Wireless Sensor Network Layer Data Sensing and acquisition layer Internet Layer Service Layer Data Abstraction Layer Interface Layer Case Study: Implementation of Denial of Service Attack in Home Automation A brief description of attack Experimental Test bed Details Execution Steps Research and Challenges Conclusion III: Engineering and Applications for IoT Cloud Network A Novel Framework of Smart Cities Using Internet of Things (IoT): Opportunities and Challenges Introduction IoT infrastructure for smart city Network centric IoT Cloud centric IoT Data Centric IoT Human Centric IoT Smart City Hierarchy Associated communication technology for realizing smart cities Proposed Framework Sensing Layer Data Abstraction layer Base station layer Edge server layer Cloud computing layer Application layer Case Study Smart traffic management Smart Healthcare Open Challenges and opportunities Conclusion Interoperability and Information Sharing Paradigm for IoT Enabled Healthcare Introduction Mobile Health and the Internet of Medical Things Enabling Precision & Personalized Medicine Health Data Ownership in IoT and the Cloud IoT Data Ownership Challenges Consent for Data Capture Verifying Data Ownership: Local Identity Management and Authentication Healthcare Data Ownership Electronic Health Record (EHR)Personal Health Record Bridging Medical Data Ownership: Combining EHR and PHR Enabling IoMT Information Sharing in Healthcare Collecting Data from IoMT Devices Traditional Health Record Information Exchange for Informa tion Federation Regulating Provider Access to PHR Data Providing Emergency Data Access Ensuring Data Integrity from IoMT Sensors Privately Replicating and Sharing Large Datasets Maintaining Consensus in Large Scale Federated Systems Providing Emergency Access to Real Time IoMT Data Achieving Heterogeneous Data Interoperability Interoperability Architecture Overview Current Interoperability Standards Future Standards and Alternative Methods Challenges & Opportunities Cloud Computing Based Intelligent Healthcare System Introduction Building an intelligent healthcare system Early detection and prediction of brain tumor using Intel ligent Cloud Classification using different models Image Inversion Experiments and Results Naive Bayes Classifier Model CNN Model Image Inversion Summary and Discussion Research Challenges and possible solutions Conclusion Acknowledgement IoT Cloud Network for Healthcare Introduction to modern health computing Overcoming the challenges Security and privacy of patient data Lack of uniformity among connected mobile devices Vulnerable data transmissions Patient readiness Awareness about IoTs Paralysis of Data Analysis Cloud computing over the intelligent healthcare system IoT and smart health system paradigms History of IoT in healthcare Role of IoT in Healthcare Challenges of IoT in healthcare Future of IoT in healthcare Patient centered care Teleconsultation and Remote Patient monitoring Wearable sensors Insideable devices Mobile apps Electronic Medical Records (EMR)Health portals Big data The human genome project Personalized and precision medicine D Printing Artificial intelligence in healthcare New Design and Performance of IoT cloud for Smart Healthcare and Monitor system Disruptions in Internet Diversity of Protocols No Special Testing Tools Were Made for Healthcare Applica tions Difficulties in Performing Healthcare IoT Performance Testing Mobile technology in revolution of Smart Healthcare Financial challenges SaaS helps improve delivery of Hospital services The benefits of cloud computing Cloud security and regulatory compliance Spend less money, serve more patients mHealth in action IoMT Platforms Amazon Web Services IoT Qualcomm Life Data Flow Azure IoT Suite Intel IoT Compliance and Regulations HIPAA Rules HITECH Act HITRUST PCI What We See in Future Healthcare Robots The Brain Computer Interface Bibliography