Homomorphic DNA Security in IoT Edge Data

Title

Homomorphic DNA Security in IoT Edge Data

Creator

Lakshmanan S.; Kokilavani T.; Joseph Charles P.

Description

The Internet of Things (IoT) based intelligent medical system possesses sensitive and private patient data. Most data relates to the patient's medical records and highly sensitive information. For this reason, safety and confidentiality of information are crucial. The preservation of patient privacy when sharing medical data is the primary concern of this study. Due to their excellent performance, biological notations based on deoxyribonucleic acid (DNA) are becoming increasingly admired for guaranteeing encryption and image protection. This paper proposes lightweight homomorphic with DNA-based medical image encryption (HDNA_MIE) for heterogeneous IoT in edge computing. The proposed approach contains two steps: In the first step, the secure DNA keys are generated using lightweight operations such as shifting and Josephus ring-based permutation (JRP). In the second step, the lightweight homomorphic cryptographic algorithm with DNA sequence-based encryption algorithm is suggested for secure encryption. The suggested strategy is evaluated using computational time and statistical analysis with several measures to determine its efficacy. The experimental findings of the proposed strategy exhibited a high level of security and a noticeable enhancement in the Number of Pixels Change Rate (NPCR), Unified Average Changing Intensity (UACI) and encryption processing time. The experiment outcomes demonstrate that our technique may be applied to highly confidential image encryption. 2024, Iquz Galaxy Publisher. All rights reserved.

Source

International Research Journal of Multidisciplinary Scope, Vol-5, No. 4, pp. 1084-1094.

Date

2024-01-01

Publisher

Iquz Galaxy Publisher

Subject

DNA Sequence; Homomorphic Encryption; Image Encryption; Lightweight Cryptography; Medical Data Security

Coverage

Lakshmanan S., Department of Computer Science, St. Josephs College (Autonomous), Affiliated to Bharathidasan University, Tamil Nadu, Tiruchirappalli, 620005, India; Kokilavani T., Department of Computer Science, Christ University, Nagasandra, Karnataka, Bangalore, 560073, India; Joseph Charles P., Department of Computer Science, St. Josephs College (Autonomous), Affiliated to Bharathidasan University, Tamil Nadu, Tiruchirappalli, 620005, India

Rights

Restricted Access

Relation

ISSN: 2582631X

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.47857/irjms.2024.v05i04.01653

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210426496&doi=10.47857%2firjms.2024.v05i04.01653&partnerID=40&md5=87c3d324374cb962372a63b04fb19d48