Deep learning adoption blockchain secure framework for cyber physical system

Jose Costa Sapalo Sicato; Jeonghun Cha; Yi Pan; Jong Hyuk Park

doi:10.1007/978-981-15-9309-3_28

Deep learning adoption blockchain secure framework for cyber physical system

Jose Costa Sapalo Sicato, Jeonghun Cha, Yi Pan, Jong Hyuk Park

Dept. of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The growth of cyber-physical systems (CPS) has greatly improved industrial efficiency and consumer convenience. Nevertheless, the widespread deployment of 5G-CPS systems also poses new problems that are of major concern to security. In order to help create stable and robust 5G-CPS systems, systematic analyzes are carried out on CPS and IoT from individual smart devices that act as terminal nodes to the entire network. The results of the review will help to find weaknesses in CPS systems and/or provide guidance on how to create protection in these systems using deep learning and blockchain techniques. Risk reduction approaches that can help improve protection will also be addressed.

Original language	English
Title of host publication	Advanced Multimedia and Ubiquitous Engineering - MUE-FutureTech 2020
Editors	James J. Park, Vincenzo Loia, Yi Pan, Yunsick Sung
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	195-200
Number of pages	6
ISBN (Print)	9789811593086
DOIs	https://doi.org/10.1007/978-981-15-9309-3_28
State	Published - 2021
Event	15th International Conference on Future Information Technology, Future Tech 2020 - Jeju, Korea, Republic of Duration: 17 Aug 2020 → 19 Aug 2020

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	716
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	15th International Conference on Future Information Technology, Future Tech 2020
Country/Territory	Korea, Republic of
City	Jeju
Period	17/08/20 → 19/08/20

Keywords

Blockchain
CPS
Deep learning
Security and privacy

Access to Document

10.1007/978-981-15-9309-3_28

Cite this

Sicato, J. C. S., Cha, J., Pan, Y., & Park, J. H. (2021). Deep learning adoption blockchain secure framework for cyber physical system. In J. J. Park, V. Loia, Y. Pan, & Y. Sung (Eds.), Advanced Multimedia and Ubiquitous Engineering - MUE-FutureTech 2020 (pp. 195-200). (Lecture Notes in Electrical Engineering; Vol. 716). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-9309-3_28

Sicato, Jose Costa Sapalo ; Cha, Jeonghun ; Pan, Yi et al. / Deep learning adoption blockchain secure framework for cyber physical system. Advanced Multimedia and Ubiquitous Engineering - MUE-FutureTech 2020. editor / James J. Park ; Vincenzo Loia ; Yi Pan ; Yunsick Sung. Springer Science and Business Media Deutschland GmbH, 2021. pp. 195-200 (Lecture Notes in Electrical Engineering).

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title = "Deep learning adoption blockchain secure framework for cyber physical system",

abstract = "The growth of cyber-physical systems (CPS) has greatly improved industrial efficiency and consumer convenience. Nevertheless, the widespread deployment of 5G-CPS systems also poses new problems that are of major concern to security. In order to help create stable and robust 5G-CPS systems, systematic analyzes are carried out on CPS and IoT from individual smart devices that act as terminal nodes to the entire network. The results of the review will help to find weaknesses in CPS systems and/or provide guidance on how to create protection in these systems using deep learning and blockchain techniques. Risk reduction approaches that can help improve protection will also be addressed.",

keywords = "Blockchain, CPS, Deep learning, Security and privacy",

author = "Sicato, \{Jose Costa Sapalo\} and Jeonghun Cha and Yi Pan and Park, \{Jong Hyuk\}",

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doi = "10.1007/978-981-15-9309-3\_28",

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series = "Lecture Notes in Electrical Engineering",

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Sicato, JCS, Cha, J, Pan, Y & Park, JH 2021, Deep learning adoption blockchain secure framework for cyber physical system. in JJ Park, V Loia, Y Pan & Y Sung (eds), Advanced Multimedia and Ubiquitous Engineering - MUE-FutureTech 2020. Lecture Notes in Electrical Engineering, vol. 716, Springer Science and Business Media Deutschland GmbH, pp. 195-200, 15th International Conference on Future Information Technology, Future Tech 2020, Jeju, Korea, Republic of, 17/08/20. https://doi.org/10.1007/978-981-15-9309-3_28

Deep learning adoption blockchain secure framework for cyber physical system. / Sicato, Jose Costa Sapalo; Cha, Jeonghun; Pan, Yi et al.
Advanced Multimedia and Ubiquitous Engineering - MUE-FutureTech 2020. ed. / James J. Park; Vincenzo Loia; Yi Pan; Yunsick Sung. Springer Science and Business Media Deutschland GmbH, 2021. p. 195-200 (Lecture Notes in Electrical Engineering; Vol. 716).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Deep learning adoption blockchain secure framework for cyber physical system

AU - Sicato, Jose Costa Sapalo

AU - Cha, Jeonghun

AU - Pan, Yi

AU - Park, Jong Hyuk

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N2 - The growth of cyber-physical systems (CPS) has greatly improved industrial efficiency and consumer convenience. Nevertheless, the widespread deployment of 5G-CPS systems also poses new problems that are of major concern to security. In order to help create stable and robust 5G-CPS systems, systematic analyzes are carried out on CPS and IoT from individual smart devices that act as terminal nodes to the entire network. The results of the review will help to find weaknesses in CPS systems and/or provide guidance on how to create protection in these systems using deep learning and blockchain techniques. Risk reduction approaches that can help improve protection will also be addressed.

AB - The growth of cyber-physical systems (CPS) has greatly improved industrial efficiency and consumer convenience. Nevertheless, the widespread deployment of 5G-CPS systems also poses new problems that are of major concern to security. In order to help create stable and robust 5G-CPS systems, systematic analyzes are carried out on CPS and IoT from individual smart devices that act as terminal nodes to the entire network. The results of the review will help to find weaknesses in CPS systems and/or provide guidance on how to create protection in these systems using deep learning and blockchain techniques. Risk reduction approaches that can help improve protection will also be addressed.

KW - Blockchain

KW - CPS

KW - Deep learning

KW - Security and privacy

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Sicato JCS, Cha J, Pan Y, Park JH. Deep learning adoption blockchain secure framework for cyber physical system. In Park JJ, Loia V, Pan Y, Sung Y, editors, Advanced Multimedia and Ubiquitous Engineering - MUE-FutureTech 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 195-200. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-15-9309-3_28

Deep learning adoption blockchain secure framework for cyber physical system

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