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1 Chapter 2Table 2.1 Security and privacy mechanism prosed in some papers.

2 Chapter 6Table 6.1 Cluster distribution.Table 6.2 Numbers of majority sample in each cluster.

3 Chapter 9Table 9.1 Test case for monitoring the soldiers’ health.

4 Chapter 10Table 10.1 Confusion matrix.

5 Chapter 11Table 11.1 Feature contrast between IoT and conventional networks.Table 11.2 Characteristics of various enabling protocols and technologies.Table 11.3 CloudIoT application areas.Table 11.4 Summary of CloudIoT threats and vulnerabilities.Table 11.5 Overview of proposed security counter measures.Table 11.6 Node energy drainage factors and solutions.

6 Chapter 12Table 12.1 Defined epileptic states in transient EEG signals.Table 12.2 Initially defined epileptic states.

7 Chapter 15Table 15.1 Description of the dataset.Table 15.2 Weights of features with information gain measure.Table 15.3 Performance parameters of deep learning-based model without dimension...Table 15.4 Performance parameters of deep learning-based model with dimensionali...

8 Chapter 16Table 16.1 Classification report using CNN [4].Table 16.2 Classification report using SSDMNV2 [3].Table 16.3 A comparison of various models’ accuracy [3].Table 16.4 A comparison of the various models’ F1 score [3].Table 16.5 Comparative analysis between different machine learning algorithms [2...