Moving Target Defense Based on Artificial Intelligence
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Chapter 1 Introduction of Moving Target Defense.- Chapter 2 Host Address Mutation based on Advantage Actor-Critic Approach.- Chapter 3 Service Function Chain Migration based on Proximal Policy Optimization Approach.- Chapter 4 Collaborative Mutation-based Moving Target Defense based on Hierarchical Reinforcement Learning.- Chapter 5 Roadside Units Configuration Mutation based on Proximal Policy Optimization Approach.- Chapter 6 Route Mutation based on Multiagent Reinforcement Learning.- Chapter 7: Secure and Trusted Collaborative Learning based on Blockchain.- Chapter 8 Summary and Future Research Directions.
Tao Zhang is currently an Associate Professor with the School of Cyberspace Science and Technology, Beijing Jiaotong University.. His publications include ESI highly cited paper and well-archived international journals and proceedings, such as IEEE COMST, JSAC, TIFS, TDSC, TMC, TSC, TITS, TCCN and TII etc. His research interests include network security, moving target defense, and federated learning. He serves as the associate editor of IEEE Data Descriptions, Ad Hoc Networks, EURASIP Journal on Information Security, the guest editor of Remote Sensing, Electronics and Chinese Journal of Network and Information Security, and the TPC chair and a PC member for some international conferences and workshops. He was a recipient of the Best Paper Award from NaNA 2018, IWCMC 2021, DIONE 2024, and ICA3PP 2024, and a recipient of Outstanding Paper Award from iThings 2023, and SmartCity 2024. His Ph.D. thesis was awarded the Outstanding Doctoral Dissertation by BUPT in 2023.
Xiangyun Tang an Associate Professor with the School of Information Engineering, Minzu University of China. She has served as the guest editor for multiple Journals, and the TPC chair and the PC member for international conferences and workshops. She was a recipient of the Best Paper Award from IEEE ICBCTIS 2023, and a recipient of Outstanding Paper Award from IEEE iThings 2023. Her research interests include Secure Multi-party Computation and Machine Learning Security.
Jiawen Kang is a Full Professor at Guangdong University of Technology. His research interests mainly focus on AIGC, blockchain, metaverse, edge intelligence, etc. He has published more than 150 research papers in leading journals and flagship conferences. He is the co-inventor of 16 granted patents and has won IEEE VTS Best Paper Award, IEEE Communications Society CSIM Technical Committee Best Journal Paper Award, IEEE Best Land Transportation Paper Award, IEEE HITC Award for Excellence in Hyper-Intelligence Systems (Early Career Researcher award), IEEE Computer Society Smart Computing Special Technical Community Early-Career Award, and 13 best paper awards of international conferences as well. He is an IEEE Senior Member and is listed in the World's Top 2% of Scientists identified by Stanford University. He is now serving as the editor or guest editor for 11 leading journals. He received IEEE Outstanding Leadership Award for 2022 EUC Conference (Program Chair) and IEEE Distinguished Services Award for 16th IEEE iThings Conference (Program Chair). He is a vice-chair of IEEE Technical Committee on Cognitive Networks Special Interest Group on "Wireless Blockchain Networks.Changqiao Xu is a Professor with the State Key Laboratory of Networking and Switching Technology, and Director of the Network Architecture Research Center at BUPT. His research interests include Future Internet Technology, Mobile Networking, Multimedia Communications, and Network Security. He has edited two books and published over 200 technical papers in prestigious international journals and conferences, including IEEE Comm. Magazine, IEEE/ACM ToN, IEEE TMC, INFOCOM, ACM Multimedia etc. He has served a number of international conferences and workshops as a Co-Chair and TPC member. He is currently serving as the Editor-in-Chief of Transactions on Emerging Telecommunications Technologies.
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