Securing Body Area Networks with Fingerprint Cryptography and Authentication in MANET

Authors

Alaa M. Elbanaa, Tanta University, Faculty of EngineeringFollow
Roayat Ismail Abdelfatah, Faculty of Engineering, Tanta UniversityFollow
Mohamed E. Nasr, Faculty of Engineering, Tanta UniversityFollow

Abstract

Standard MANETs face issues like incorrect transmission and vulnerability to unauthorized node access, posing significant security concerns, especially regarding authentication procedures. To address these challenges, researchers are exploring innovative approaches to enhance authentication mechanisms within MANETs. In this paper, we present a novel solution integrating a Body Area Network (BAN) scheme to capture biomedical data from sensors such as ECG and EEG, facilitating data transmission across MANETs. Furthermore, we employ a hybrid Elgamal algorithm for encrypting biomedical data, bolstered by fingerprint biometrics to fortify the cryptographic process, enhancing network security. Additionally, we conduct comparative analyses, exploring different key sizes and generation techniques, and evaluating the system's performance by calculating the False Acceptance Rate (FAR), False Rejection Rate (FRR), and Equal Error Rate (ERR) across varying threshold values for patient authentication. Moreover, we evaluate the Genuine Acceptance Rate (GAR) alongside the FAR specifically for genuine patients within the scheme, shedding light on the system's authentication efficacy. Our findings reveal an optimal ERR of 0.375 with a threshold of 0.24, striking a balance between false acceptance and rejection rates. Furthermore, the GAR, representing the authentication rate, is determined to be 96.3%, underscoring the effectiveness of our proposed secure system. Through practical testing and analysis, our study demonstrates the resilience and robustness of the proposed multimodal biometric authentication system, offering a promising solution for secure communication in dynamic and resource-constrained MANET environments.

Recommended Citation

Elbanaa, Alaa M.; Abdelfatah, Roayat Ismail; and Nasr, Mohamed E. (2024) "Securing Body Area Networks with Fingerprint Cryptography and Authentication in MANET," Journal of Engineering Research: Vol. 8: Iss. 3, Article 22.
Available at: https://digitalcommons.aaru.edu.jo/erjeng/vol8/iss3/22