An Efficient Lightweight Cryptography Algorithm to Ensure Data Confidentiality in IoMT Devices

Cyber-attacks may target data collected from devices on the Internet of Medical Things (IoMT) systems that use very sensitive data. To stop illegal access, data misuse, data monitoring, and data alteration, security is crucial while considering a network. More and more data breaches on these devices implemented stronger encryption techniques. These devices lack the resources necessary to implement algorithms for classical cryptography. One method that has been investigated and developed to address this problem is lightweight cryptography. It's a low computational complexity or tiny footprint encryption technique. A lightweight cipher primarily used for data encryption and data authentication which has to be deployed in IoMT applications is proposed. The main challenge while designing an efficient cryptography algorithm for IoMT devices is to achieve optimal cost and performance without compromising on security. Lightweight cryptography algorithms are the only algorithms that can be efficiently used in these devices because of their extremely low demand for resources and power consumption making them extremely fast in operation. The paper proposes ATOM, a new symmetric lightweight block cipher following the Substitution-Permutation Network structure for authentication and encryption in lightweight devices having a variable key size of 64-bits and 128-bits, alterable number of rounds of 5 and 9, processing a plaintext of size 64-bits to output a ciphertext of size 64-bits. By this, we can ensure end-to-end secure transmission of data in IoMT devices.

Authors

Institutions

Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/netcrypt65877.2025.11102182
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Efficient Lightweight Cryptography Algorithm to Ensure Data Confidentiality in IoMT Devices

V. Panchami, Sharon Justine, Amritha Haridasan
Cryptographic Implementations and Security
article

An Efficient Lightweight Cryptography Algorithm to Ensure Data Confidentiality in IoMT Devices

V. Panchami, Sharon Justine, Amritha Haridasan
article en

Abstract

Cyber-attacks may target data collected from devices on the Internet of Medical Things (IoMT) systems that use very sensitive data. To stop illegal access, data misuse, data monitoring, and data alteration, security is crucial while considering a network. More and more data breaches on these devices implemented stronger encryption techniques. These devices lack the resources necessary to implement algorithms for classical cryptography. One method that has been investigated and developed to address this problem is lightweight cryptography. It's a low computational complexity or tiny footprint encryption technique. A lightweight cipher primarily used for data encryption and data authentication which has to be deployed in IoMT applications is proposed. The main challenge while designing an efficient cryptography algorithm for IoMT devices is to achieve optimal cost and performance without compromising on security. Lightweight cryptography algorithms are the only algorithms that can be efficiently used in these devices because of their extremely low demand for resources and power consumption making them extremely fast in operation. The paper proposes ATOM, a new symmetric lightweight block cipher following the Substitution-Permutation Network structure for authentication and encryption in lightweight devices having a variable key size of 64-bits and 128-bits, alterable number of rounds of 5 and 9, processing a plaintext of size 64-bits to output a ciphertext of size 64-bits. By this, we can ensure end-to-end secure transmission of data in IoMT devices.

Rubber Board (IN), Indian Institute of Information Technology and Management, Kerala (IN)
Openalex Percentile: Top 89%
Cryptographic Implementations and Security
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.

An Efficient Lightweight Cryptography Algorithm to Ensure Data Confidentiality in IoMT Devices — V. Panchami, Sharon Justine, et al. · (2025) | TGRS Research Map | TGRS