• Ajina Mohamed Ameer
• M. Victor Jose

Electrocardiogram (ECG) biometric recognition is a novel research trend, and many methods have been developed. Due to the influence of physical and psychological activities, there are heartbeats diversities of the same person. However, the existing ECG biometric recognition methods do not make use of sample diversity information. Traditional passwords represent the most common mechanism of authenticating users online, despite numerous usability and security problems. Passwords create a burden for users, as they have to be memorized and, ideally, should be long and unique. It should not come as a surprise, therefore, that many users opt to use easy-to-guess passwords that are reused across different services, leading to account takeovers and personal data compromise. In this research, a biometric based on the electrical activity of the human heart is investigated as recorded by the ECG signals. In order to design an ECG- based biometric system, collecting dataset containing records of differed users. The data collection was performed over a period of four months, which allowed me to investigate the stability of ECG-based biometrics. After collecting the ECG data, the biometric authentication system was designed and implemented. The main objective of this study is to develop a privacy preserving ECG that detects arrhythmia in the early stage.

Arrhythmia, Authentication, Biometric, ECG, Fingerprint.

"Finger Print Authentication Based Cryptosystems for Electrocardiogram Data Security in Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.e559-e570, December-2021, Available :http://www.jetir.org/papers/JETIR2112469.pdf

"Finger Print Authentication Based Cryptosystems for Electrocardiogram Data Security in Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppe559-e570, December-2021, Available at : http://www.jetir.org/papers/JETIR2112469.pdf