Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System

Mamta; Brij B. Gupta; Kuan-Ching Li; Victor C. M. Leung; Kostas E. Psannis; Shingo Yamaguchi

doi:10.1109/JAS.2021.1004003

Volume 8 Issue 12

Dec. 2021

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

CiteScore: 23.5, Top 2% (Q1)
Google Scholar h5-index: 77， TOP 5

Turn off MathJax

Article Contents

Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(12): 1877-1890

M. M. ta, Brij B. Gupta, K.-C. N. Li, Victor C. M. Leung, Kostas E. Psannis, and S. N. O. Y. M. G. chi, "Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System," IEEE/CAA J. Autom. Sinica, vol. 8, no. 12, pp. 1877-1890, Dec. 2021. doi: 10.1109/JAS.2021.1004003

Citation:

M. M. ta, Brij B. Gupta, K.-C. N. Li, Victor C. M. Leung, Kostas E. Psannis, and S. N. O. Y. M. G. chi, "Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System," IEEE/CAA J. Autom. Sinica, vol. 8, no. 12, pp. 1877-1890, Dec. 2021. doi: 10.1109/JAS.2021.1004003

Citation:

M. M. ta, Brij B. Gupta, K.-C. N. Li, Victor C. M. Leung, Kostas E. Psannis, and S. N. O. Y. M. G. chi, "Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System," IEEE/CAA J. Autom. Sinica, vol. 8, no. 12, pp. 1877-1890, Dec. 2021. doi: 10.1109/JAS.2021.1004003

PDF( 1347 KB)

Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System

doi: 10.1109/JAS.2021.1004003

1.
Department of Computer Engineering, National Institute of Technology, Haryana 136119, India
2.
Asia University, Taichung, Taiwan, China, and also with the Macquarie University, Sydney, NSW 2109, Australia
3.
Department of Computer Science and Information Engineering, Providence University, Taichung 43301, Taiwan, China
4.
Computer Science and Software Engineering, Shenzhen University, Shenzhen 518000, China
5.
University of British Columbia, Vancouver V6T 1Z4, Canada
6.
Department of Applied Informatics, University of Macedonia, Thessaloniki 54636, Greece
7.
Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube 755-8611, Japan

More Information

Author Bio:
Mamta received the Ph.D. in applied cryptography from the Department of Computer Engineering at National Institute of Technology, India, in October 2020. Her research interests include public-key cryptographic primitives, searchable encryption, information security, cloud computing and its extensions, and blockchain technology. She has published various research articles with various reputed publishers, like IEEE, Springer, Wiley, and Taylor and Francis group

Brij B. Gupta (SM’17) received the Ph.D. degree from Indian Institute of Technology Roorkee, India, in the area of information and cyber security. He published more than 250 research papers in international journals and conferences of high repute. His biography was selected and published in the 30th Edition of Marquis Who’s Who in the World, 2012. Dr. Gupta also received Young Faculty Research Fellowship Award from MeitY, government of India in 2017. He is also working as Principal Investigator of various R&D projects. He is serving as Associate Editor of IEEE Access, Associate Editor of IJICS, Inderscience and Executive Editor of IJITCA, Inderscience, respectively. He was also Visiting Researcher with Yamaguchi University, Japan, with Deakin University, Australia and with Swinburne University of Technology, Australia during 2015, 2017, and 2018, respectively. Additionally, he was Visiting Professor with Temple University, USA and Staffordshire University, UK during June 2019 and July 2019, respectively. At present, Dr. Gupta is working as Assistant Professor in the Department of Computer Engineering, National Institute of Technology, India. His research interest includes information security, cyber security, cloud computing, web security, intrusion detection and phishing

Kuan-Ching Li is a Distinguished Professor in the Department of Computer Science and Information Engineering (CSIE) at Providence University, China, where he also serves as the Director of the High-Performance Computing and Networking Center. He received the Licenciatura in mathematics, and M.S. and Ph.D. degrees in electrical engineering from the University of Sao Paulo (USP), Brazil, in 1994, 1996, and 2001, respectively. He published more than 200 scientific papers and articles and is the Co-author or Co-editor of more than 25 books published by Taylor & Francis, Springer, and McGraw-Hill. He is the Editor in Chief of the journal Connection Science and serves as an Associate Editor for several leading journals. Also, he has been actively involved in many major conferences and workshops in program/general/steering conference chairman positions and has organized numerous conferences related to computational science and engineering. He is a Fellow of IET and a Senior Member of the IEEE. His research interests include parallel and distributed computing, big data, and emerging technologies

Victor C. M. Leung is currently a Distinguished Professor of computer science and software engineering with Shenzhen University, China. He is also an Emeritus Professor of electrical and computer engineering and the Director of the Laboratory for Wireless Networks and Mobile Systems, The University of British Columbia (UBC), Canada. His research is in the broad areas of wireless networks and mobile systems. He has published widely in archival journals and refereed conference proceedings in these areas; several of his papers have won Best Paper Awards. He is a Fellow of the Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada. He was a recipient of the 1977 APEBC Gold Medal, Natural Sciences and Engineering Research Council of Canada Postgraduate Scholarships from 1977 to 1981, a 2012 UBC Killam Research Prize, IEEE Vancouver Section Centennial Award, the 2017 Canadian Award for Telecommunications Research, and the 2018 IEEE TCGCC Distinguished Technical Achievement Recognition Award. He has coauthored articles that won the 2017 IEEE ComSoc Fred W. Ellersick Prize, the 2017 IEEE Systems Journal Best Paper Award, the 2018 IEEE CSIM Best Journal Paper Award, and the 2019 IEEE TCGCC Best Journal Paper Award. He is named in the current Clarivate Analytics list of “Highly Cited Researchers.” He has provided leadership to the Technical Program Committees and Organizing Committees of numerous international conferences. He is serving on the Editorial Boards of the IEEE Transactions on Green Communications and Networking, the IEEE Transactions on Cloud Computing, IEEE Network, and IEEE Access. He has previously served on the editorial boards of the IEEE Journal on Selected Areas in Communications Wireless Communications Series and Series on Green Communications and Networking, the IEEE Transactions on Wireless Communications, the IEEE Transactions on Vehicular Technology, the IEEE Transactions on Computers, and the IEEE Wireless Communications Letters

Kostas E. Psannis is currently an Associate Professor in communications systems and networking at the Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece, Director of Mobility2net Research & Development & Consulting JP-EU Lab and Member of the EU-JAPAN Centre for Industrial Cooperation. Dr. Psannis received the degree in physics (Department of Physics, founded in 1928), Faculty of Sciences, from Aristotle University of Thessaloniki (AUTH, founded in 1925), Greece, and the Ph.D. degree from the School of Engineering and Design, Department of Electronic and Computer Engineering of Brunel University, UK. From 2001 to 2002 he was awarded the British Chevening scholarship. The Chevening Scholarships are the UK government’s global scholarship programme, funded by the Foreign and Commonwealth Office (FCO) and partner organisations. The programme makes awards to outstanding scholars with leadership potential from around the world to study at universities in the UK. Dr. Psannis’ research spans a wide range of digital media communications, media coding/synchronization and transport over a variety of networks, both from the theoretical as well as the practical points of view. His recent work has been directed toward the demanding digital signals and systems problems arising from the various areas of ubiquitous big data/media and communications. This work is supported by research grants and contracts from various government organisations. Dr. Psannis has participated in joint research works funded by Grant-in-Aid for Scientific Research, Japan Society for the Promotion of Science (JSPS), KAKENHI Grant, The Telecommunications Advancement Foundation, International Information Science Foundation, as a Principal Investigator and Visiting Consultant Professor in Nagoya Institute of Technology, Japan. Dr. Psannis was invited to speak on the EU-Japan Co-ordinated Call Preparatory meeting, Green & Content Centric Networking (CCN), organized by European Commission (EC) and National Institute of Information and Communications Technology (NICT)/ Ministry of Internal Affairs and Communications (MIC), Japan (in the context of the upcoming ICT Work Programme 2013) and International Telecommunication Union (ITU-founded in 1865), SG13 meeting on DAN/CCN, Berlin, July 2012, amongst other invited speakers. Konstantinos received a joint-research Award from the Institute of Electronics, Information and Communication Engineers, Japan, Technical Committee on Communication Quality, July 2009 and joint-research Encouraging Prize from the IEICE Technical Committee on Communication Systems (CS), July 2011. Dr. Psannis has more than 60 publications in international scientific journals and more than 70 publications in international conferences. His published works has more than 2100 citations (h-index 24, i10-index 41). Dr. Psannis supervises a post-doc student and seven Ph.D. students. Prof. Psannis is serving as an Associate Editor for IEEE Access and IEEE Communications Letters. He is Lead Associate Editor for the Special Issue on Roadmap to 5G: Rising to the challenge, IEEE Access, 2019. He is a Guest Editor for the Special Issue on Compressive Sensing-Based IoT Applications, Sensors, 2020. He is a Guest Editor for the Special Issue on Advances in Baseband Signal Processing, Circuit Designs, and Communications, Information, 2020. He is a Lead Guest Editor for the Special Issue on Artificial Intelligence for Cloud Based Big Data Analytics, Big Data Research, 2020. He is TPC Co-Chair at the International Conference on Computer Communications and the Internet (ICCCI 2020), Nagoya Institute of Technology Japan, ICCCI to be held in 2020 June 26–29 at Nagoya, Japan, and Conference Chair at the World Symposium on Communications Engineering (WSCE 2020- http://wsce.org/) to be held at University of Macedonia, Thessaloniki, Greece, October 9–11, 2020

Shingo Yamaguchi (SM’14) is a Professor in the Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Japan. He received the B.E., M.E., and D.E. degrees from Yamaguchi University, Japan, in 1992, 1994, and 2002. He was a Visiting Scholar at the University of Illinois at Chicago, US, in 2007. He is currently the Director of Information and Data Science Education Center, Yamaguchi University. His research interests include AI, IoT, big data, and cybersecurity. He was the Executive Conference Chair of IEEE ICCE 2021. He is a Member of the Board of Governors of IEEE Consumer Technology Society. He is also the Editor-in-Chief of IEEE Consumer Electronics Magazine. He is a Senior Member of IEEE and IEICE
Corresponding author: Brij B. Gupta, e-mail: gupta.brij@gmail.com
Received Date: 2020-10-15
Revised Date: 2020-12-03
Accepted Date: 2021-02-13

Available Online: 2021-03-12

Abstract

Abstract

The concept of sharing of personal health data over cloud storage in a healthcare-cyber physical system has become popular in recent times as it improves access quality. The privacy of health data can only be preserved by keeping it in an encrypted form, but it affects usability and flexibility in terms of effective search. Attribute-based searchable encryption (ABSE) has proven its worth by providing fine-grained searching capabilities in the shared cloud storage. However, it is not practical to apply this scheme to the devices with limited resources and storage capacity because a typical ABSE involves serious computations. In a healthcare cloud-based cyber-physical system (CCPS), the data is often collected by resource-constraint devices; therefore, here also, we cannot directly apply ABSE schemes. In the proposed work, the inherent computational cost of the ABSE scheme is managed by executing the computationally intensive tasks of a typical ABSE scheme on the blockchain network. Thus, it makes the proposed scheme suitable for online storage and retrieval of personal health data in a typical CCPS. With the assistance of blockchain technology, the proposed scheme offers two main benefits. First, it is free from a trusted authority, which makes it genuinely decentralized and free from a single point of failure. Second, it is computationally efficient because the computational load is now distributed among the consensus nodes in the blockchain network. Specifically, the task of initializing the system, which is considered the most computationally intensive, and the task of partial search token generation, which is considered as the most frequent operation, is now the responsibility of the consensus nodes. This eliminates the need of the trusted authority and reduces the burden of data users, respectively. Further, in comparison to existing decentralized fine-grained searchable encryption schemes, the proposed scheme has achieved a significant reduction in storage and computational cost for the secret key associated with users. It has been verified both theoretically and practically in the performance analysis section.
- Cloud-based cyber-physical systems (CCPS),
- data encryption,
- healthcare information search and retrieval,
- keyword search,
- public-key cryptosystems,
- searchable encryption

FullText(HTML)

References(23)

References

[1]	Q. Zheng, S. Xu, and G. Ateniese, “VABKS: Verifiable attribute-based keyword search over outsourced encrypted data,” in Proc. IEEE Infocom, 2014, pp. 522–530.
[2]	W. Sun, S. Yu, W. Lou, Y. T. Hou, and H. Li, “Protecting your right: Attribute-based keyword search with fine-grained owner-enforced search authorization in the cloud,” in Proc. IEEE Infocom Conf. Computer Communications, 2014, pp. 226–234.
[3]	Mamta and B. B. Gupta, “An efficient KP design framework of attribute-based searchable encryption for user level revocation in cloud,” Concurr. Comput. Pract. Exp., p. e5291.
[4]	Mamta and B. B. Gupta, “Secure fine-grained keyword search with efficient user revocation and traitor tracing in the cloud,” J. Organ. End User Comput., vol. 32, no. 4, pp. 112–137, 2020. doi: 10.4018/joeuc.2020100106
[5]	Y. Miao, J. Ma, X. Liu, F. Wei, Z. Liu, and X. A. Wang, “m 2-ABKS: Attribute-based multi-keyword search over encrypted personal health records in multi-owner setting,” J. Med. Syst., vol. 40, no. 11, p. 246, 2016.
[6]	C. Guo, R. Zhuang, Y. Jie, Y. Ren, T. Wu, and K.-K. R. Choo, “Fine-grained database field search using attribute-based encryption for e-healthcare clouds,” J. Med. Syst., vol. 40, no. 11, p. 235, 2016.
[7]	Z. Chen, F. Zhang, P. Zhang, et al., “Verifiable keyword search for secure big data-based mobile healthcare networks with fine-grained authorization control,” Futur. Gener. Comput. Syst., vol. 87, pp. 712–724, 2018.
[8]	Mamta and B. B. Gupta, “An attribute-based keyword search for m-health networks,” J. Comput. Virol. Hacking Tech., pp. 1–16, 2020.
[9]	Y. Miao, R. Deng, X. Liu, K.-K. R. Choo, H. Wu, and H. Li, “Multi-authority attribute-based keyword search over encrypted cloud data,” IEEE Trans. Dependable Secur. Comput., 2019. DOI: 10.1109/TDSC.2019.2935044
[10]	L. Chen, W.-K. Lee, C.-C. Chang, K.-K. R. Choo, and N. Zhang, “Blockchain based searchable encryption for electronic health record sharing,” Futur. Gener. Comput. Syst., vol. 95, pp. 420–429, 2019. doi: 10.1016/j.future.2019.01.018
[11]	S. Cao, G. Zhang, P. Liu, X. Zhang, and F. Neri, “Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain,” Inf. Sci. (Ny)., vol. 485, pp. 427–440, 2019. doi: 10.1016/j.ins.2019.02.038
[12]	Y. Wang, A. Zhang, P. Zhang, and H. Wang, “Cloud-assisted EHR sharing with security and privacy preservation via consortium blockchain,” IEEE Access, vol. 7, pp. 136704–136719, 2019. doi: 10.1109/ACCESS.2019.2943153
[13]	R. Guo, H. Shi, Q. Zhao, and D. Zheng, “Secure attribute-based signature scheme with multiple authorities for blockchain in electronic health records systems,” IEEE Access, vol. 6, pp. 11676–11686, 2018. doi: 10.1109/ACCESS.2018.2801266
[14]	C. Esposito, M. Ficco, and B. B. Gupta, “Blockchain-based authentication and authorization for smart city applications,” Inf. Process. Manag., vol. 58, no. 2, p. 102468, 2021.
[15]	B. Waters, “Ciphertext-policy attribute-based encryption: An expressive, efficient, and provably secure realization,” in Int. Workshop on Public Key Cryptography, 2011, pp. 53–70.
[16]	A. Beimel and ע. בימל, Secure Schemes for Secret Sharing and Key Distribution. Technion-Israel Institute of Technology, Faculty of Computer Science, 1996.
[17]	C. L. Stergiou, K. E. Psannis, and B. B. Gupta, “IoT-based big data secure management in the fog over a 6G wireless network,” IEEE Internet Things J., 2020. DOI: 10.1109/JIOT.2020.3033131
[18]	D. Li, L. Deng, B. B. Gupta, H. Wang, and C. Choi, “A novel CNN based security guaranteed image watermarking generation scenario for smart city applications,” Inf. Sci. (Ny)., vol. 479, pp. 432–447, 2019. doi: 10.1016/j.ins.2018.02.060
[19]	S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system (White Paper), ” [Online]. Available: https//bitcoin.org/bitcoin.pdf, 2008.
[20]	A. Lewko and B. Waters, “Decentralizing attribute-based encryption,” in Proc. Annual. Int. Conf. Theory and Applications of Cryptographic Techniques, 2011, pp. 568–588.
[21]	Y. Rouselakis and B. Waters, “Efficient statically-secure large-universe multi-authority attribute-based encryption,” in Proc. Int. Conf. Financial Cryptography and Data Security, 2015, pp. 315–332.
[22]	Q. Xu, C. Tan, W. Zhu, Y. Xiao, Z. Fan, and F. Cheng, “Decentralized attribute-based conjunctive keyword search scheme with online/offline encryption and outsource decryption for cloud computing,” Futur. Gener. Comput. Syst., 2019. DOI: 10.1016/j.future.2019.02.067
[23]	A. De Caro and V. Iovino, “jPBC: Java pairing based cryptography, ” in Proc. IEEE Symp. Computers and Communications, 2011, pp. 850–855.

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(5) / Tables(4)

Get Citation

PDF

XML

Article Metrics

Article views (1232) PDF downloads(139)

Highlights

A blockchain assisted fine-grained searchable encryption framework is proposed for healthcare cloud-based cyber-physical system (CCPS).
The proposed framework does not require any trusted entity to operate.
The consensus nodes are responsible for initializing the system and generating the partial search tokens in a decentralized manner, which are considered the most computational intensive and most frequent operations.
The efficiency claims have been validated theoretically by performing detailed asymptotic analysis and by practically implementing the system using JPBC library.

Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System

doi: 10.1109/JAS.2021.1004003

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Highlights

Export File

Citation

Format

Content