Healthcare innovation is being aided by the Internet of Things (IoT). Nowadays, doctors and other medical experts can practice medicine anywhere, not just in hospitals. The healthcare industry makes use of IoT devices for a variety of purposes, including remote vital sign monitoring, private data transfer and receiving, and similar tasks. Cyber threat prevention should be the top priority when operating IoT devices. An urgent problem arises when malicious actions cause sensitive data to leak and equipment to malfunction. Protecting the data and record exchange networks of all Internet of Things devices has become a top priority. This work presents the Secure Blockchain Consensus (SBC) method, which is based on verifiable random ranking (VRR), as a solution to several serious problems with existing consensus methods. We came up with novel methods for controlling active nodes and testing their resilience and dependability instead than using traditional algorithms. Based on our testing, the VRR-SBC method increases security, decreases verification cost, and speeds up consensus. The simulation’s outcomes show that the blockchain era is helpful for some gadgets and let us evaluate how widely the consensus algorithm can be used.
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11 November 2024
2ND INTERNATIONAL INTERDISCIPLINARY SCIENTIFIC CONFERENCE ON GREEN ENERGY, ENVIRONMENTAL AND RENEWABLE ENERGY, ADVANCED MATERIALS, AND SUSTAINABLE DEVELOPMENT: ICGRMSD24
1–2 February 2024
Thanjavur, India
Research Article|
November 11 2024
Enhancing IoT healthcare security with verifiable random ranking-based secure blockchain consensus mechanism Available to Purchase
A. Kumaravel;
A. Kumaravel
a)
1
Department of Electronics and Communication Engineering, Annapoorana Engineering College
, Salem, Tamil Nadu 636308, India
a)Corresponding author: [email protected]
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Priya Janardanan;
Priya Janardanan
b)
2
Department of Computer Science Engineering, CMRU International Airport
, Bengaluru, Karnataka 562149, India
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S. Vimal;
S. Vimal
c)
3
Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology
, Kattankulathur, Tamil Nadu 603203, India
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K. Chokkanathan;
K. Chokkanathan
d)
4
Department of Artificial Intelligence, Madanapalle Institute of Technology and Science
, Madanapalle, Andhra Pradesh 517325, India
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V. Surendar;
V. Surendar
e)
5
Department of Electrical and Electronics Engineering, Kongu Engineering College (Autonomous)
, Erode, Tamil Nadu 638060, India
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M. Rajendiran
M. Rajendiran
f)
6
Department of Computer Science and Engineering, Panimalar Engineering College
, Chennai, Tamil Nadu 600123, India
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A. Kumaravel
1,a)
Priya Janardanan
2,b)
S. Vimal
3,c)
K. Chokkanathan
4,d)
V. Surendar
5,e)
M. Rajendiran
6,f)
1
Department of Electronics and Communication Engineering, Annapoorana Engineering College
, Salem, Tamil Nadu 636308, India
2
Department of Computer Science Engineering, CMRU International Airport
, Bengaluru, Karnataka 562149, India
3
Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology
, Kattankulathur, Tamil Nadu 603203, India
4
Department of Artificial Intelligence, Madanapalle Institute of Technology and Science
, Madanapalle, Andhra Pradesh 517325, India
5
Department of Electrical and Electronics Engineering, Kongu Engineering College (Autonomous)
, Erode, Tamil Nadu 638060, India
6
Department of Computer Science and Engineering, Panimalar Engineering College
, Chennai, Tamil Nadu 600123, India
a)Corresponding author: [email protected]
AIP Conf. Proc. 3193, 020080 (2024)
Citation
A. Kumaravel, Priya Janardanan, S. Vimal, K. Chokkanathan, V. Surendar, M. Rajendiran; Enhancing IoT healthcare security with verifiable random ranking-based secure blockchain consensus mechanism. AIP Conf. Proc. 11 November 2024; 3193 (1): 020080. https://doi.org/10.1063/5.0235479
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