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Nowadays healthcare is a standout amongst the most rapidly developing application zone in body area networks (BANs). BANs are anticipated to play a significant role in the stream of patient-health monitoring. To provide, secure BAN access to the entire system without disturbing the confidentiality of patients’ therapeutic data is a major challenge. Security of the BAN can be improved by using a polynomial curve-based steganography technique. The performance of the proposed BAN is evaluated by using a Fourier transform and Wavelet transform. The results of the proposed BAN are presented and compared for both the transforms.

The current technology in healthcare and its information are enhanced with IoT system. In most of IoT system, there exists a gateway between a wireless body area network (WBAN) and the internet to upload and retrieve the health information. These IoT gateways normally transmit data to a cloud. Therefore, the importance of IoT devices and health care data could be critical. Hence security constraints are required to retain the data. This paper introduces a novel concept called a secure anonymous authentication protocol with advanced encryption standard (SAAPAES) a cryptographic scheme to guarantee the security services and to protect confidential client data in the healthcare system. Our SAAPAES protocol offer the following aspects 1. Anonymous authentication, this is one of the easy and efficient way to protect patient/doctor identities from the server on cloud storage by using hash key authentication algorithm by disclosing the security aspects like password and username. 2. Patient’s health information is encrypted with SAAPAES and then uploading these data in cloud. Finally, downloading the health information from personal data assistant (PDA) in decrypted form using SAAPAES. The proposed authentication approach provides an efficient authentication mechanism with high security in the health-care system.