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Deep Learning and Blockchain-empowered Security Framework for Intelligent 5G-enabled IoT

Shailendra Rathore, Jong Hyuk Park, Hangbae Chang
2021 IEEE Access  
for emerging networks and services. • Based on the required design principle, we propose a DL and blockchain-empowered security framework for intelligent 5G-enabled IoT that employs DL and blockchain's  ...  A DL and blockchain-powered security framework for intelligent 5G-enabled IoT that delivers intelligent data and security operations across the 5Genabled IoT network was presented.  ... 
doi:10.1109/access.2021.3077069 fatcat:scwfhwldwnbwxkbgxozrk6gjma

Guest Editorial: Special Issue on Blockchain and Edge Computing Techniques for Emerging IoT Applications

Victor C. M. Leung, Xiaofei Wang, F. Richard Yu, Dusit Niyato, Tarik Taleb, Sangheon Pack
2021 IEEE Internet of Things Journal  
Focusing on the research of social-aware cloud computing, cooperative cell caching, and mobile traffic offloading, he has authored over 100 technical papers in  ...  ., in "NOMA-enabled cooperative computation offloading for blockchain-empowered Internet of Things: A learning approach," propose a multiagent deep reinforcement learning framework to achieve long-term  ...  intelligent ultra-dense edge computing (I-UDEC) framework in 5G ultra-dense network environments and a novel two-timescale deep reinforcement learning (2Ts-DRL) algorithm to achieve real-time and low overhead  ... 
doi:10.1109/jiot.2021.3050050 fatcat:rux57gjppjdqla556myxnvp4ve

Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues

Yao Du, Zehua Wang, Victor C. M. Leung
2021 Future Internet  
We review how blockchain-enabled edge intelligence works in the IoT domain, identify the emerging trends, and suggest open issues for further research.  ...  We expect that blockchain-enabled edge intelligence will become an important enabler of future IoT, providing trust and intelligence to satisfy the sophisticated needs of industries and society.  ...  Acknowledgments: We thank the editor and reviewers for their constructive comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi13020048 fatcat:2j6xvdr5hrckxeb5aku2zjzuba

Blockchain-Empowered Mobile Edge Intelligence, Machine Learning and Secure Data Sharing [chapter]

Yao Du, Shuxiao Miao, Zitian Tong, Victoria Lemieux, Zehua Wang
2021 Blockchain Potential in AI [Working Title]  
However, those distributed frameworks of edge intelligence also introduce some new challenges, such as user privacy and data security.  ...  We also discuss the real-world use cases and outline the challenges of blockchain-empowered intelligence.  ...  Blockchain-enabled data security for mobile edge intelligence IoT data contains sensitive information related to individuals.  ... 
doi:10.5772/intechopen.96618 fatcat:tjon4elghrcq5e5lfsfmyx2srm

Guest Editorial: Edge Intelligence for Beyond 5G Networks

Yan Zhang, Zhiyong Feng, Hassnaa Moustafa, Feng Ye, Usman Javaid, Chunfen Cui
2021 IEEE wireless communications  
This is a leading study on exploring machine learning and deep learning in edge intelligence 5G networks.  ...  In the article "Security and Privacy for Edge Intelligence in 5G and Beyond Networks: Challenges and Solutions", Li et al. study security and privacy issues in edge intelligence for B5G networks with the  ... 
doi:10.1109/mwc.2021.9430853 fatcat:aiq5lqtporgwbhnme7zflxbao4

Special Issue on Deep Reinforcement Learning for Emerging IoT Systems

Jia Hu, Peng Liu, Hong Liu, Obinna Anya, Yan Zhang
2020 IEEE Internet of Things Journal  
Jia Hu received the B.Eng. and M.Eng. degrees in electronic engineering from the Huazhong  ...  Peng Liu received the B.S. and M.S. degrees in computer science and technology from Hangzhou Dianzi University, Hangzhou, China, in 2001 and 2004, respectively, and  ...  computation offloading and resource allocation framework for blockchain-enabled MEC systems.  ... 
doi:10.1109/jiot.2020.2998256 fatcat:rct75tsesbh7lkjmhuyogfi4ym

Guest Editorial: Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation

Sahil Garg, Gagangeet Singh Aujla, Aiman Erbad, Joel J. P. C. Rodrigues, Min Chen, Xianbin Wang
2021 IEEE Network  
a 5G-enabled flying automation, is a fascinating innovation which requires deep investigation at various levels.  ...  This new dimension for drone communication has attracted the wide attention of the academia, research and industrial communities. 5G-enabled flying automation empowers the astronomically large numbers  ...  He has many research contributions in the area of machine learning, big data analytics, security and privacy, Internet of Things, and cloud computing.  ... 
doi:10.1109/mnet.2021.9355047 fatcat:rtbml7qwbfehrgi53s5vy5mzzu

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., and Bose, R., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe  ...  ., +, JIoT Aug. 2020 7783-7794 A Shared Bicycle Intelligent Lock Control and Management System Based AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models.  ...  ., +, JIoT May 2020 4000-4015 Blockchain-Enabled Distributed Security Framework for Next-Generation IoT: An Edge Cloud and Software-Defined Network-Integrated Approach.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Blockchain for 5G and Beyond Networks: A State of the Art Survey [article]

Dinh C Nguyen, Pubudu N Pathirana, Ming Ding, Aruna Seneviratne
2019 arXiv   pre-print
Our key focus is on the discussions on the potential of blockchain for enabling key 5G technologies, including cloud/edge computing, Software Defined Networks, Network Function Virtualization, Network  ...  and security provision.  ...  For example, deep reinforcement learning (DRL) [23] has been investigated and combined with blockchain to enable secure and intelligent resource management and orchestration in 5G networks.  ... 
arXiv:1912.05062v1 fatcat:ecitoeu5ijh6flblgm74fpvmz4

Table of contents

2020 IEEE Internet of Things Journal  
Imran, and M. Shoaib 4248 Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT . . . . . . . . . . . . .  ...  SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks . . . . . . . . . . . . .  ... 
doi:10.1109/jiot.2020.2983500 fatcat:rvqks3xwbzdtzewuj2khuby7hy

AI-Driven Security Solutions for the Internet of Everything

Deepak Puthal, Amit Mishra, Suraj Sharma
2021 IEEE Consumer Electronics Magazine  
Above all these techniques, artificial intelligence (AI) has been emerging as a promising approach to secure the IoE-based complex system. 3 Machine learning (ML), deep learning (DL), and these days federated  ...  & THE INTERNET OF Everything (IoE) integrates the components, such as people, things, data, and process for the smart system building, and where the Internet of Things (IoT) is integrated as one of its  ...  The article "Secure crowdsensing in 5G Internet of Vehicles: When deep reinforcement learning meets blockchain" proposes a deep reinforcement learning-enabled blockchain-based solution for user privacy  ... 
doi:10.1109/mce.2021.3071676 fatcat:663acipcprfavpv5d33paiyjoa

6G Wireless Systems: A Vision, Architectural Elements, and Future Directions

Latif U. Khan, Ibrar Yaqoob, Muhammad Imran, Zhu Han, Choong Seon Hong
2020 IEEE Access  
We propose practical guidelines including deep Q-learning and federated learning-based transceivers, blockchain-based secure business models, homomorphic encryption, and distributed-ledgerbased authentication  ...  , intelligent cell-less architecture, and distributed security models.  ...  They discussed 6G network architecture with key enablers and 6G applications for various AI-enabled smart services.  ... 
doi:10.1109/access.2020.3015289 fatcat:x5bpksqgezgg7jylzmvlipcde4

Internet of Things and Next Generation Wireless Communication Systems

Yi Qian
2021 IEEE wireless communications  
His research interests include wireless communications and networks, and information and communication network security.  ...  He has research and industry experience in wireless communications and networks, wireless sensor networks, vehicular communication networks, information and communication network security, smart grid communications  ...  An AI-based framework for efficient resource management in mobile multi-user RF-light HetNets is proposed using a deep learning-empowered optical link predictor and a multiagent reinforcement learning-based  ... 
doi:10.1109/mwc.2021.9535460 fatcat:mmpsfcqlknbatdvlmoygfhkse4

Blockchain-empowered Edge Intelligence for Internet of Medical Things Against COVID-19 [article]

Hong-Ning Dai, Yulei Wu, Hao Wang, Muhammad Imran, Noman Haider
2021 arXiv   pre-print
We then present an architecture of blockchain-empowered edge intelligence for IoMT after discussing the opportunities of integrating blockchain and edge intelligence.  ...  In this article, we present a blockchain-empowered edge intelligence for IoMT in addressing the COVID-19 crisis.  ...  SOLUTIONS OF BLOCKCHAIN-EMPOWERED EDGE INTELLIGENCE TO IOMT AGAINST COVID-19 Blockchain-empowered edge intelligence for IoT can solve the challenges posed by COVID-19.  ... 
arXiv:2108.02100v1 fatcat:2im5nvu5ananrlvjlwsvqvrrcm

Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms [article]

Haemin Lee, Joongheon Kim
2021 arXiv   pre-print
With the development of communication technologies in 5G networks and the Internet of things (IoT), a massive amount of generated data can improve machine learning (ML) inference through data sharing.  ...  In addition, a blockchain technology enables secure transactions among participants through consensus algorithms and encryption without a centralized coordinator.  ...  Therefore, effective deployment and intelligent utilization of IoT are needed. However, classical centralized learning algorithms in the IoT are vulnerable to security [2] .  ... 
arXiv:2107.08624v1 fatcat:f5in7rx6brgb7jv2w3qkuoojz4
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