Blockchain Meets Generative Behavior Steganography: A Novel Covert Communication Framework for Secure IoT Edge Computing

CAO Yuanlong; LI Junjie; CHAO Kailin; XIAO Jianmao; LEI Gang

doi:10.23919/cje.2023.00.382

Volume 33 Issue 4

Jul. 2024

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Article Navigation > Chinese Journal of Electronics > 2024 > 33(4): 886-898

Yuanlong CAO, Junjie LI, Kailin CHAO, et al., “Blockchain Meets Generative Behavior Steganography: A Novel Covert Communication Framework for Secure IoT Edge Computing,” Chinese Journal of Electronics, vol. 33, no. 4, pp. 886–898, 2024 doi: 10.23919/cje.2023.00.382

Citation:

Yuanlong CAO, Junjie LI, Kailin CHAO, et al., “Blockchain Meets Generative Behavior Steganography: A Novel Covert Communication Framework for Secure IoT Edge Computing,” Chinese Journal of Electronics, vol. 33, no. 4, pp. 886–898, 2024 doi: 10.23919/cje.2023.00.382

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Blockchain Meets Generative Behavior Steganography: A Novel Covert Communication Framework for Secure IoT Edge Computing

doi: 10.23919/cje.2023.00.382

CAO Yuanlong^{1, 3
,
,},
LI Junjie^{2, 3
,},
CHAO Kailin^{2, 3
,},
XIAO Jianmao^{2, 3
,},
LEI Gang^{2, 3
,}

1.
School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China
2.
School of Software, Jiangxi Normal University, Nanchang 330027, China
3.
Jiangxi Blockchain Data Security and Governance Engineering Research Center, Jiangxi Normal University, Nanchang 330027, China

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Author Bio:
Yuanlong CAO received the B.S. degree in computer science and technology from Nanchang University, China, in 2006, the M.S. degree in software engineering from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2008, and the Ph.D. degree in communication and information system from the Institute of Network Technology, BUPT, in 2014. He was an Intern/Software Engineer with BEA TTC, IBM CDL, and DT Research, Beijing, China, from 2007 to 2011. He is currently a Professor with the School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China. His research interests include multimedia communications, network security and next-generation Internet technology. Dr. Cao serves as the Editor for KSII Transactions on Internet and Information Systems. He has served as the Lead Guest Editor for Mobile Networks and Applications, Intelligent Automation and Soft Computing, International Journal of Distributed Sensor Networks, Electronics, Future Internet, Wireless Communications and Mobile Computing, Security and Communication Networks, and the Guest Editor for IEICE Transactions on Information and Systems, Computers, Materials & Continua. He serves as the Co-General Chair of EAI MONAMI 2022, EAI DIONE 2023, and the Co-Chair of IEEE 9th WFIoT Workshop on Advancements in Metaverse and IoT, respectively. He has also served as the Technical Reviewer for several journals, including the IEEE Transactions on Industrial Informatics, IEEE Transactions on Network and Service Management, IEEE Transactions on Cognitive Communications and Networking, etc. (Email: ylcao@jxnu.edu.cn)

Junjie LI received the B.S. degree in software engineering from the School of Software, Jiangxi Normal University, Nanchang, China, in 2023. He is currently working toward the M.S. degree in management science and engineering with Jiangxi Normal University, Nanchang, China. His research interests include image and signal processing, Internet technology, information security, and information management. (Email: lijunjie@jxnu.edu.cn)

Kailin CHAO graduated in 2022 with a B.S. degree in information management and information systems from Lanzhou University of Finance and Economics. Currently he is pursuing a M.S. degree in management science and engineering at Jiangxi Normal University. His main research interests include blockchain, federated learning, and information security. (Email: chaokailin@jxnu.edu.cn)

Jianmao XIAO received the Ph.D. degree from the College of Intelligence and Computing, Tianjin University. He is an Assistant Professor at Jiangxi Normal University, is the Deputy Director of the Jiangxi Provincial Engineering Research Center of Blockchain Data Security and Governance. He is a Member of the CCF TCSC. His main research interests include blockchain, service computing, intelligent software engineering. Dr. Xiao has authored more than 30 high-level academic papers, served as MONAMI 2022 Web Chair and ICSS 2022 PC Member. He also served as a reviewer for many domestic and international high-level journals and conferences in related fields. (Email: jm_xiao@jxnu.edu.cn)

Gang LEI is currently an Associate Professor and the Vice Chairman of the School of Software, Jiangxi Normal University, China, where he is also serving as the Associate Director of the Academic Committee. His research interests include big data technology, computer network management, and information systems. (Email: leigang@jxnu.edu.cn)
Corresponding author: Email: ylcao@jxnu.edu.cn
Received Date: 2023-12-01
Accepted Date: 2024-03-26

Available Online: 2024-04-28

Publish Date: 2024-07-05

Abstract

Abstract

The rapid development of Internet of things (IoT) and edge computing technologies has brought forth numerous possibilities for the intelligent and digital future. The frequent communication and interaction between devices inevitably generate a large amount of sensitive information. Deploying a blockchain network to store sensitive data is crucial for ensuring privacy and security. The openness and synchronicity of blockchain networks give rise to challenges such as transaction privacy and storage capacity issues, significantly impeding their development in the context of edge computing and IoT. This paper proposes a reliable fog computing service solution based on a blockchain fog architecture. This paper stores data files in the inter planetary file system (IPFS) and encrypts the file hash values used for retrieving data files with stream cipher encryption. It employs a steganographic transmission technique leveraging AlphaZero’s Gomoku algorithm to discretely transmit the stream cipher key across the blockchain network without a carrier, thus achieving dual encryption. This approach aims to mitigate the storage burden on the blockchain network while ensuring the security of transaction data. Experimental results demonstrate that the model enhances the transmission capacity of confidential information from kilobytes (KB) to megabytes (MB) and exhibits high levels of covert and security features.
- Internet of things,
- Edge computing,
- Blockchain,
- Covert communication,
- Communication security,
- Generative behavior steganography

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References(48)

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