Cloud computing is vital in various applications, such as healthcare, transportation, governance,
and mobile computing. When using a public cloud server, it is mandatory to be
secured from all known threats because a minor attacker’s disturbance severely threatens
the whole system. A public cloud server is posed with numerous threats; an adversary can
easily enter the server to access sensitive information, especially for the healthcare industry,
which offers services to patients, researchers, labs, and hospitals in a flexible way with minimal
operational costs. It is challenging to make it a reliable system and ensure the privacy
and security of a cloud-enabled healthcare system. In this regard, numerous security mechanisms
have been proposed in past decades. These protocols either suffer from replay
attacks, are completed in three to four round trips or have maximum computation, which
means the security doesn’t balance with performance. Thus, this work uses a fuzzy extractor
method to propose a robust security method for a cloud-enabled healthcare system
based on Elliptic Curve Cryptography (ECC). The proposed scheme’s security analysis has
been examined formally with BAN logic, ROM and ProVerif and informally using pragmatic
illustration and different attacks’ discussions. The proposed security mechanism is analyzed
in terms of communication and computation costs. Upon comparing the proposed protocol
with prior work, it has been demonstrated that our scheme is 33.91% better in communication
costs and 35.39% superior to its competitors in computation costs.