TY - JOUR
T1 - Driving a key generation strategy with training-based optimization to provide safe and effective authentication using data sharing approach in IoT healthcare
AU - Mishra, Anand Muni
AU - Shahare, Yogesh Ramdas
AU - Shukla, Piyush Kumar
AU - Husain, Akhtar
AU - Singh, Santar Pal
AU - Alyami, Sultan
AU - Alghamdi, Abdullah
AU - Ahanger, Tariq Ahamed
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Blockchain technology offers a solution to the interoperability issues that currently plague health information systems (BT). Additionally, blockchain technology provides the cutting-edge standard that ensures the safe exchange of computerized health data among healthcare providers, institutions, people, and medical specialists. Recently, both businesses and academics recognized the Internet of Things (IoT) as one of the top study fields. Nevertheless, a significant issue in IoT healthcare across several product domains is the secrecy of patient health data transmission. For secure and effective authentication with data sharing strategy in IoT healthcare, a method called Driving Training Based Optimization (DTBO) Key generation is presented to address these issues. The entities involved in the proposed DTBO_Key generation technique are the user, owner, authenticating minor, blockchain, and IoT server. The suggested technique consists of seven stages: initialization, registration phase, key creation, login phase, data protection, authentication process, and verification phase. A minimum memory consumption of 2.983 MB, a computation cost of 28.008%, and an accuracy of 0.9 were attained using the proposed method.
AB - Blockchain technology offers a solution to the interoperability issues that currently plague health information systems (BT). Additionally, blockchain technology provides the cutting-edge standard that ensures the safe exchange of computerized health data among healthcare providers, institutions, people, and medical specialists. Recently, both businesses and academics recognized the Internet of Things (IoT) as one of the top study fields. Nevertheless, a significant issue in IoT healthcare across several product domains is the secrecy of patient health data transmission. For secure and effective authentication with data sharing strategy in IoT healthcare, a method called Driving Training Based Optimization (DTBO) Key generation is presented to address these issues. The entities involved in the proposed DTBO_Key generation technique are the user, owner, authenticating minor, blockchain, and IoT server. The suggested technique consists of seven stages: initialization, registration phase, key creation, login phase, data protection, authentication process, and verification phase. A minimum memory consumption of 2.983 MB, a computation cost of 28.008%, and an accuracy of 0.9 were attained using the proposed method.
KW - Authentication
KW - Blockchain
KW - Driving training based optimization
KW - IoT healthcare
KW - Key generation
UR - https://www.scopus.com/pages/publications/85175262272
U2 - 10.1016/j.comcom.2023.09.016
DO - 10.1016/j.comcom.2023.09.016
M3 - Article
AN - SCOPUS:85175262272
SN - 0140-3664
VL - 212
SP - 407
EP - 419
JO - Computer Communications
JF - Computer Communications
ER -