Secure medical data storage in DPOS-hyper ledger fabric block chain using PM-ECC and L2-DWT

Abstract

Governments and individuals have taken extraordinary measures to protect the health of the people during the COVID pandemic. Stored medical data remains the main target for hackers, and hence it needs to be stored securely. To achieve this objective, this paper proposes a novel model using Delegated Proof of Stake-Hyper ledger Fabric Block Chain (DPOS-HFBC). Primarily, by employing LL Subbandeigen Value decomposition employed Discrete Wavelet Transform (L2-DWT), the patient’s Lung Computed Tomography (CT) image data are collected and embedded. For embedding, the patient’s name and ID are taken. In embedding, a Pseudorandom number generator using the Mersenne twister algorithm employed in Elliptic Curve Cryptography (PM-ECC) is applied for key encryption. It covered the image that was embedded with the original and then stored in DPOS-HFBC. Likewise, for authorization, every patient’s biometric ID was hashed and stored in DPOS-HFBC. Data requesters request data in the Interplanetary File System (IPFS) of DPOS-HFBC, and the attributes from the request are extracted and sent to the authority for verification. After verifying, the authority shares their biometric ID with the requester and this gets hashed and then verified in DPOS-HFBC. To show the model’s supremacy, the proposed method was evaluated and compared with existing methods.

KEYWORDS:

• Computed Tomography (CT) images
• LL Subbandeigen Value decomposition employed Discrete Wavelet Transform (L2-DWT)
• Delegated Proof of Stake-Hyper Ledger Fabric Block Chain (DPOS-HFBC)
• Pseudorandom number generator using Mersenne twister algorithm employed in Elliptic Curve Cryptography (PM-ECC)
• Interplanetary File System (IPFS)

Disclosure statement

The authors declare no potential conflict of interest with respect to the research, authorship, & publication of this article.

Additional information

Notes on contributors

Shinzeer C. K.

C. K. Shinzeer has 2.5 years of experience as an Assistant Professor at the Centre of Computer Science and Information Technology, Calicut University Centre, Thalikkulam, Thrissur, Kerala, India. She is currently working as a Government Employee in the Education Department under the Government of Kerala, India. She is also a PhD scholar in Computer Applications, at Lovely Professional University, Punjab, India. Her qualifications include B.Sc in Mathematics from Sree Kerala Varma College at the University of Calicut, Kerala in 2004, Master of Computer Application from Dr. G R Damodaran College of Science at Bharathiyar University, Tamil Nadu in 2007, and MPhil in Computer Science from Jamal Mohamad College at Bharathidasan University, Tamil Nadu on 2012. She is a member of the Blockchain Council. Her research interests include Data Mining and Blockchain Technology.

Avinash Bhagat

Dr. Avinash Bhagat (Ph.D., MTech., MCA, MSc, BE, APGDIT, MCP, MCSE, MCSA) is serving as an Associate Professor in the School of Computer Applications, at Lovely Professional University, Punjab, INDIA has a vast experience in more than 22 years in the field of academics, research, and administration. Dr. Avinash Bhagat has been awarded his Doctorate degree from Lovely Professional University, Punjab in 2021 in the field of Wireless Sensor Networks. His areas of interest include Wireless Sensor Networks, Adhoc Networks, Mobile Computing, Machine Learning, etc. A number of research papers authored and co-authored, published in International or National journals of repute, and conference proceedings come under his credits. He has edited 4 books and 38 book chapters. He has guided more than 1000 PG and UG projects during his service period. He has also completed the certifications like Microsoft Certified System Administrator, Microsoft Certified System Engineer, and Microsoft Certified Professional.

Ajay Shriram Kushwaha

Prof. (Dr.) Ajay Shriram Kushwaha is a Professor & Research Guide at Sharda School of Engineering & Technology (SUSET), Sharda University, Greater Noida since June 2023. With over 15 years of academic and research experience, he has worked in esteemed state & private universities like RTM, Gondwana, LPU, and Jain University. He has successfully guided 2 Ph.D. scholars and currently co-guiding 3 scholars from Jain (Deemed-to-be-University) & Lovely Professional University. His research areas include Networking, Software Engineering, Cyber Security & Forensics, with a focus on Blockchain, IoT & Cloud implementation. He holds 4 patents, with 1 patent under final grant communication. He is a lifetime member of the Indian Science Congress and IAENG (Hongkong) and is a member of IAENG societies for AI, Computer Science, Data Mining & Software Engineering. He serves as an Editor, Guest Editor, and reviewer for 12+ Scopus, UGC-listed, or Peer Reviewed International Journals. He has published over 37 research papers in SCOPUS/UGC Listed/Peer Reviewed Journals and co-authored 7 books & news magazine articles. He has conducted 40+ Refresher Courses, FDPs, Seminars, Webinars, Workshops, and Technical Sessions across the country on e-content development, pedagogy, and innovative content creation & assessment techniques. He also conducts sessions on Cyber Security, Ethical Hacking, and related domains. He has completed several MOOC courses from platforms like LinkedIn Learning, Coursera, Alison, Udemy, and Basis Technology. Contributing to open learning, he creates content for YouTube and social media.