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1.1 Context and motivation
1.2 Characteristics of IoT topology
1.3 Attack modes against network topology
1.4 Book organization
Chapter 2 Preliminaries of robustness optimization
2.1 Metrics of topology robustness
2.2 Related work
2.3 Existing challanges
Chapter 3 Robustness optimization based on self-organization3.1 Path planning based on the greedy principle
3.2 Construction of highly robust topology
3.3 Robust time synchronization scheme
Chapter 4 Evolution-based robustness optimization4.1 Robustness optimization scheme with multi-population co-evolution
4.2 An adaptive robustness evolution algorithm with self-competition
Chapter 5 Robustness optimization based on swarm intelligence
5.1 Topology optimization strategy with ant colony algorithm
5.2 Topology optimization strategy with particle swarm algorithm
Chapter 6 Robustness optimization based on multi-objective cooperation
6.1 Multi-objective optimization based on layered-cooperation
Chapter 7 Robustness optimization based on self-learning
7.1 Malicious node identification scheme based on gaussian mixture model
7.2 Highly robust topology learning model based on neural network
7.3 Highly robust topology generation strategy based on time series convolutional network
Chapter 8 Robustness optimization based on node self-learning
8.1 Node self-learning mechanism based on reinforcement learning
Chapter 9 Future research directions
9.1 Homogeneous networks
9.2 Heterogeneous networks
9.3 Smart IoT
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