Privacy Preservation and Signature Aggregation for Medical Data

Abstract

Abstract Remote healthcare monitoring systems have been successful and are present at the vanguard of the technological revolution of the 21st Century. These systems make use of wireless body area network (WBAN) as one of their major components that is responsible for recording the medical parameters of a patient's health and transmit them to the server where they can be diagnosed. These networks, sometimes also make use of local processing units (LPUs) such as your mobile devices for transmission of the recorded data. Unfortunately, this wireless transmission of data increases the number of risks involved with the sensitive recorded data. This can lead to the violation of user's privacy rights and also causes a decline in the system's integrity and authenticity. This paper presents a novel security and signature aggregation scheme implemented using the Arduino Uno microcontroller, the MAX30100 SPO2 and Pulse Oximetry sensor, and the AD8232 sensor. The Privacy Preservation and Signature Aggregation Scheme (PPSA) for Medical Data that we present in this paper helps provide security against cyber attacks, thus strengthening the integrity and authenticity of the medical data. The Privacy Preservation part of the overall scheme has been implemented using the Blowfish and the Elgamal Encryption schemes, that helps the system to maintain the security of the system, whereas the Signature aggregation scheme involves the use of a co-Decisional Group Diffie-Hellman Signature scheme that helps the system to verify the authenticity of the medical data that is being transmitted within the system. The PPSA scheme, when implemented, was found to give correct results and provide the system with reliable security.