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Prof. Yoon-Su Jeong
Mokwon University

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Research Keywords & Expertise

0 Big Data
0 Bioinformatics
0 Cloud Computing
0 Healthcare Information Technology (HIT)
0 Information Security

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Short Biography

Yoon-Su Jeong was born in Cheong-Ju, Korea in 1975. He received the B.S. degree in the department of computer science, Cheongju National University in February 1998. He received the M.S. degree and Ph.D in the department of computer science, Chungbuk National University in February 2000 and 2008. He is currently working professor in the department of Information and Communication Convergence Engineering, Mokwon University. His research interests also include cryptography, network security, information security, healthcare service, bioinformatic, cloud service, wire/wireless communication security, Privacy, Big data.

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Journal article
Published: 14 March 2021 in Sensors
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As cloud technology advances, devices such as IoT (Internet of Things) are being utilized in various areas ranging from transportation, manufacturing, energy, automation, space, defense, and healthcare. As the number of IoT devices increases, the safety of IoT information, which is vulnerable to cyber attacks, is emerging as an important area of interest in distributed cloud environments. However, integrity techniques are not guaranteed to easily identify the integrity threats and attacks on IoT information operating in the distributed cloud associated with IoT systems and CPS (Cyber-Physical System). In this paper, we propose a blockchain-based integrity verification technique in which large amounts of IoT information processed in distributed cloud environments can be guaranteed integrity in security threats related to IoT systems and CPS. The proposed technique aims to ensure the integrity of IoT information by linking information from IoT devices belonging to subgroups in distributed cloud environments to information from specific non-adjacent IoT devices and blockchain. This is because existing techniques rely on third-party organizations that the data owner can trust to verify the integrity of the data. The proposed technique identifies IoT information by connecting the paths of IoT pre- and subsequent blocks into block chains so that synchronization can be achieved between subgroups in distributed cloud environments. Furthermore, the proposed technique uses probabilistic similarity information between IoT information blocks to react flexibly to subgroups that constitute distributed clouds so that IoT information blocks are not exploited maliciously by third parties. As a result of performance evaluation, the proposed technique averaged 12.3% improvement in integrity processing time over existing techniques depending on blockchain size. Furthermore, the proposed technique has to hash the IoT information that constitutes a subgroup with probability-linked information, validating the integrity of large-capacity IoT information, resulting in an average of 8.8% lower overhead than existing techniques. In addition, the proposed technique has an average improvement of 14.3% in blockchain-based integrity verification accuracy over existing techniques, depending on the hash chain length.

ACS Style

Yoon-Su Jeong; Sung-Ho Sim. Hierarchical Multipath Blockchain Based IoT Information Management Techniques for Efficient Distributed Processing of Intelligent IoT Information. Sensors 2021, 21, 2049 .

AMA Style

Yoon-Su Jeong, Sung-Ho Sim. Hierarchical Multipath Blockchain Based IoT Information Management Techniques for Efficient Distributed Processing of Intelligent IoT Information. Sensors. 2021; 21 (6):2049.

Chicago/Turabian Style

Yoon-Su Jeong; Sung-Ho Sim. 2021. "Hierarchical Multipath Blockchain Based IoT Information Management Techniques for Efficient Distributed Processing of Intelligent IoT Information." Sensors 21, no. 6: 2049.

Original article
Published: 22 October 2020 in Personal and Ubiquitous Computing
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With the creation of a mobile edge computing environment in which IoT technologies are converged on cloud services, the importance of high-capacity data processing technologies is increasing. In this paper, we propose a block chain–based convergence data management technique to efficiently handle different kinds of data processed in mobile edge computing environment. The proposed technique minimized data loss by connecting information from specific IoT devices to multiple hash boxes and adding electronic signatures to the first and last information. In addition, the similarity of IoT data is applied stochastically to respond flexibly to changes in the system. Since the proposed technique links IoT data with different probabilities, it has distributed and deployed IoT data of n bits according to certain rules to reduce the load that can occur on the server. As a result of performance evaluation, the proposed technique has improved the conversion performance assessment of average transcoding propit because block password hash increases depending on AP density and scope when managing blockchain-based IoT data. In addition, the time to generate IoT data was improved because the cumulative use of transactions processed through similarity of blockchain-based IoT data was managed in a group of certain sizes to link the blocks consistently.

ACS Style

Yoon-Su Jeong; Yong-Ho Yon. A blockchain-based IoT data management scheme using Bernoulli distribution convergence in the mobile edge computing. Personal and Ubiquitous Computing 2020, 1 -10.

AMA Style

Yoon-Su Jeong, Yong-Ho Yon. A blockchain-based IoT data management scheme using Bernoulli distribution convergence in the mobile edge computing. Personal and Ubiquitous Computing. 2020; ():1-10.

Chicago/Turabian Style

Yoon-Su Jeong; Yong-Ho Yon. 2020. "A blockchain-based IoT data management scheme using Bernoulli distribution convergence in the mobile edge computing." Personal and Ubiquitous Computing , no. : 1-10.