Hybrid Ensemble Lightweight Cryptosystem for Internet of Medical Things Security

Internet of Medical Things (IoMT) is a fast-developing area that includes the use of connected medical devices to enhance patient care and expedite the procedures involved in the delivery of healthcare. Concerns about the safety and confidentiality of patient information are a roadblock to the broad use of telemedicine technologies like IoMT. Encryption is an essential part of IoMT security, and there is a wide variety of encryption methods that are used to safeguard sensitive patient data. This work implemented a hybrid ensemble lightweight cryptosystem (HELC) using probabilistic rivest cipher 6 (PRC6) encryption and modified feistel block cipher (MFBC) approaches. Initially, the data from users are applied to PRC6 encryption, which is symmetrical encryption and provides security at in abstract level. So, to provide more security to data, the MBFC is applied to PRC6 outcome. Then, the resultant data transferred over the IoMT environment to the destination. Finally, the MBFC decryption and PRC6 decryption operations are performed at receiver side, which resulted in decrypted outcome. The simulations results show that the proposed HELC consumed 0.0021 seconds of encryption time, and 0.000276 seconds of decryption time, which are lesser as compared to other approaches.

Authors

Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2024-12-21
DOI
https://doi.org/10.22399/ijcesen.625
Citations
4
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Ensemble Lightweight Cryptosystem for Internet of Medical Things Security

G. Appa Rao, M. Swetha
4 citations
International Journal of Computational and Experimental Science and Engineering
Cryptographic Implementations and Security
1.39
article

Hybrid Ensemble Lightweight Cryptosystem for Internet of Medical Things Security

G. Appa Rao, M. Swetha
article en
4 citations

Abstract

Internet of Medical Things (IoMT) is a fast-developing area that includes the use of connected medical devices to enhance patient care and expedite the procedures involved in the delivery of healthcare. Concerns about the safety and confidentiality of patient information are a roadblock to the broad use of telemedicine technologies like IoMT. Encryption is an essential part of IoMT security, and there is a wide variety of encryption methods that are used to safeguard sensitive patient data. This work implemented a hybrid ensemble lightweight cryptosystem (HELC) using probabilistic rivest cipher 6 (PRC6) encryption and modified feistel block cipher (MFBC) approaches. Initially, the data from users are applied to PRC6 encryption, which is symmetrical encryption and provides security at in abstract level. So, to provide more security to data, the MBFC is applied to PRC6 outcome. Then, the resultant data transferred over the IoMT environment to the destination. Finally, the MBFC decryption and PRC6 decryption operations are performed at receiver side, which resulted in decrypted outcome. The simulations results show that the proposed HELC consumed 0.0021 seconds of encryption time, and 0.000276 seconds of decryption time, which are lesser as compared to other approaches.

International Journal of Computational and Experimental Science and EngineeringVol. 10(4)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Cryptographic Implementations and Security
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.