TY - GEN
T1 - Swift and Secure Medical Data Transaction
AU - Sujithra, T.
AU - Masoodhu Banu, N. M.
AU - Poornima, N.
AU - Durai, S.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - At present, healthcare faces several challenges in executing, sustaining, updating Electronic Healthcare Records (EHCR) in a digital era. As third party agencies are involved while sharing the records, they possess threats like lack of trust, unauthorized access, less secured systems which can be exploited easily. Furthermore, mostly the records are stored in a centralized model. It leads to data loss if there is no proper data recovery mechanism. It also leads to a security hole. In order to address these issues, we propose a model for Swift and Secure Medical Data Transaction (SSMDT). The proposed system incorporated Interplanetary File System (IPFS) and a block chain technology for providing increased security in transferring Healthcare Reports (HCR) with reduced latency. It is a decentralized and a peer to peer model. It stores the healthcare report compiled by various health monitoring sensors on IPFS using ethereum-based Decentralized App (DApp). Furthermore, encrypted data is stored in IPFS using cryptographic techniques such as Elliptic Curve Cryptography (ECC) instead of storing plain text for providing improved security. Detailed study is done for analyzing various factors like gas consumption for file transfer, computational overhead of various cryptography algorithms such as RSA, ECC and ElGamal. According to the findings of the experiments, computational overhead of ECC is less compared to other models and it also gives increased security.
AB - At present, healthcare faces several challenges in executing, sustaining, updating Electronic Healthcare Records (EHCR) in a digital era. As third party agencies are involved while sharing the records, they possess threats like lack of trust, unauthorized access, less secured systems which can be exploited easily. Furthermore, mostly the records are stored in a centralized model. It leads to data loss if there is no proper data recovery mechanism. It also leads to a security hole. In order to address these issues, we propose a model for Swift and Secure Medical Data Transaction (SSMDT). The proposed system incorporated Interplanetary File System (IPFS) and a block chain technology for providing increased security in transferring Healthcare Reports (HCR) with reduced latency. It is a decentralized and a peer to peer model. It stores the healthcare report compiled by various health monitoring sensors on IPFS using ethereum-based Decentralized App (DApp). Furthermore, encrypted data is stored in IPFS using cryptographic techniques such as Elliptic Curve Cryptography (ECC) instead of storing plain text for providing improved security. Detailed study is done for analyzing various factors like gas consumption for file transfer, computational overhead of various cryptography algorithms such as RSA, ECC and ElGamal. According to the findings of the experiments, computational overhead of ECC is less compared to other models and it also gives increased security.
UR - https://www.scopus.com/pages/publications/85136155498
UR - https://www.scopus.com/inward/citedby.url?scp=85136155498&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-1018-0_19
DO - 10.1007/978-981-19-1018-0_19
M3 - Conference contribution
AN - SCOPUS:85136155498
SN - 9789811910173
T3 - Lecture Notes in Networks and Systems
SP - 217
EP - 227
BT - Advances in Distributed Computing and Machine Learning - Proceedings of ICADCML 2022
A2 - Rout, Rashmi Ranjan
A2 - Ghosh, Soumya Kanti
A2 - Jana, Prasanta K.
A2 - Tripathy, Asis Kumar
A2 - Sahoo, Jyoti Prakash
A2 - Li, Kuan-Ching
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Advances in Distributed Computing and Machine Learning, ICADCML 2022
Y2 - 15 January 2022 through 16 January 2022
ER -