LIGHT WEIGHT BASED SECURED MEDICAL DATA TRANSMISSION FOR IOT POWERED COMMUNICATION SYSTEM
Keywords:
Medical Data Transmission, IoT, Communication System, Encryption, Steganography, Advanced Encryption Standard, AES-RSA, AES-FBC, Feistel Block Cipher, Discrete Wavelet Transform, Data Security, Vulnerabilities, Efficiency, Robustness, Concealment, Attacks.Abstract
In an era where data security is paramount, this research explores innovative approaches to fortify information protection by combining state-of-the-art techniques in encryption and steganography. The conventional system primarily relies on the widely adopted Advanced Encryption Standard with RivestShamir-Adleman (AES-RSA) encryption scheme, which, despite its robustness, exhibits certain drawbacks. These drawbacks include potential vulnerabilities in the RSA algorithm and limitations in the overall efficiency of the system. To address these concerns, the proposed system introduces a novel encryption mechanism, AES-FBC (Advanced Encryption Standard with Feistel Block Cipher), known for its enhanced security features and improved performance. Moreover, the integration of Discrete Wavelet Transform (DWT) steganography into the proposed system adds an additional layer of concealment, making it more resilient against potential attacks. The comprehensive analysis of the conventional system and its drawbacks sets the stage for the introduction of the proposed system, shedding light on the limitations of the existing methodology and the necessity for an advanced and more secure approach. The ensuing discussion delves into the technical intricacies of both encryption and steganography components, providing a detailed understanding of their functionalities and how they synergistically contribute to bolstering data security. The research culminates in a thorough evaluation of the proposed system through simulations and experiments, demonstrating its effectiveness in comparison to the conventional approach. The findings will underscore the significant advancements achieved in terms of data confidentiality and integrity, thereby establishing the proposed system as a robust and innovative solution for securing sensitive information in various digital environments.
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References
Das, Sangjukta, and Suyel Namasudra. "Lightweight and efficient privacy‐preserving mutual
authentication scheme to secure internet of things‐based smart healthcare." Transactions on
Emerging Telecommunications Technologies (2023): e4716.
Pesaru, Swetha, Naresh K. Mallenahalli, and B. Vishnu Vardhan. "Light weight cryptographybased data hiding system for Internet of Medical Things." International Journal of Healthcare
Management (2022): 1-14.
Rani, D. Jamuna, and S. Emalda Roslin. "Light weight cryptographic algorithms for medical
internet of things (IoT)-a review." In 2016 Online international conference on green
engineering and technologies (IC-GET), pp. 1-6. IEEE, 2016.
Almulhim, Maria, Nazurl Islam, and Noor Zaman. "A lightweight and secure authentication
scheme for IoT based e-health applications." International Journal of Computer Science and
Network Security 19, no. 1 (2019): 107-120.
Huang, Haiping, Tianhe Gong, Ning Ye, Ruchuan Wang, and Yi Dou. "Private and secured
medical data transmission and analysis for wireless sensing healthcare system." IEEE
Transactions on Industrial Informatics 13, no. 3 (2017): 1227-1237.
Yang, Yang, Xianghan Zheng, and Chunming Tang. "Lightweight distributed secure data
management system for health internet of things." Journal of Network and Computer
Applications 89 (2017): 26-37.
Nagarajan, Senthil Murugan, Ganesh Gopal Deverajan, U. Kumaran, M. Thirunavukkarasan,
Mohammad Dahman Alshehri, and Salem Alkhalaf. "Secure data transmission in internet of
medical things using RES-256 algorithm." IEEE Transactions on Industrial Informatics 18, no.
(2021): 8876-8884.
Khan, Mohammad Ayoub, Mohammad Tabrez Quasim, Norah Saleh Alghamdi, and
Mohammad Yahiya Khan. "A secure framework for authentication and encryption using
improved ECC for IoT-based medical sensor data." IEEE Access 8 (2020): 52018-52027.
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