IoT Security Paradigms and Applications
portes grátis
IoT Security Paradigms and Applications
Research and Practices
Bhushan, Bharat; Debnath, Narayan C.; Sharma, Sudhir Kumar
Taylor & Francis Ltd
04/2022
338
Mole
Inglês
9780367515003
15 a 20 dias
453
Descrição não disponível.
Chapter 1 The Convergence of IoT with Big Data and Cloud Computing Chapter 2 Cybersecurity Management within the Internet of Things Chapter 3 ROSET: Routing on SENSEnuts Testbeds in IoT Network Chapter 4 Machine Learning: Approach towards Security Chapter 5 Privacy Preservation with Machine Learning Chapter 6 Machine Learning-Based Internet-of-Things Security Schemes Chapter 7 Intrusion Detection of SCADA System Using Machine Learning Techniques: A Study Chapter 8 Person Authentication Based on Biometric Traits Using Machine Learning Techniques Chapter 9 Data Security and Privacy through Text Steganography Approaches Chapter 10 IoT as a Means of Strengthening Individual Farmers' Position in Collaboration for Transformation to Sustainable Farming Chapter 11 Security in IoT HealthCare Chapter 12 Emerging Wireless Technologies Based on IoT in Healthcare Systems in Poland Chapter 13 Biometric Monitoring in Healthcare IoT Systems Using Deep Learning Chapter 14 Predictive Analysis of Type 2 Diabetes Using Hybrid ML Model and IoT Chapter 15 Securing Honey Supply Chain through Blockchain: An Implementation View
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IoT Device;IoT System;Sensor Networks;IoT Application;Machine Learning;IoT Security;Cloud Computing;IoT Network;Industrial IoT;DoS Attack;Bigdata;IoT Architecture;Block Chain;Ml Algorithm;Internet of Things;Sensor Nodes;Blockchain;Fog Computing;IoT based applications;Mac Address;machine learning based IoT security solutions;RF;WSN;IoT Sensor;IoT Framework;IoT Domain;Deep Learning Algorithms;SCADA System;PUFs;Aal;IoT Healthcare;Biometric System;Deep Belief Network;RFC
Chapter 1 The Convergence of IoT with Big Data and Cloud Computing Chapter 2 Cybersecurity Management within the Internet of Things Chapter 3 ROSET: Routing on SENSEnuts Testbeds in IoT Network Chapter 4 Machine Learning: Approach towards Security Chapter 5 Privacy Preservation with Machine Learning Chapter 6 Machine Learning-Based Internet-of-Things Security Schemes Chapter 7 Intrusion Detection of SCADA System Using Machine Learning Techniques: A Study Chapter 8 Person Authentication Based on Biometric Traits Using Machine Learning Techniques Chapter 9 Data Security and Privacy through Text Steganography Approaches Chapter 10 IoT as a Means of Strengthening Individual Farmers' Position in Collaboration for Transformation to Sustainable Farming Chapter 11 Security in IoT HealthCare Chapter 12 Emerging Wireless Technologies Based on IoT in Healthcare Systems in Poland Chapter 13 Biometric Monitoring in Healthcare IoT Systems Using Deep Learning Chapter 14 Predictive Analysis of Type 2 Diabetes Using Hybrid ML Model and IoT Chapter 15 Securing Honey Supply Chain through Blockchain: An Implementation View
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
IoT Device;IoT System;Sensor Networks;IoT Application;Machine Learning;IoT Security;Cloud Computing;IoT Network;Industrial IoT;DoS Attack;Bigdata;IoT Architecture;Block Chain;Ml Algorithm;Internet of Things;Sensor Nodes;Blockchain;Fog Computing;IoT based applications;Mac Address;machine learning based IoT security solutions;RF;WSN;IoT Sensor;IoT Framework;IoT Domain;Deep Learning Algorithms;SCADA System;PUFs;Aal;IoT Healthcare;Biometric System;Deep Belief Network;RFC
