CSEF: Cloud-Based Secure and Efficient Framework for Smart Medical System Using ECC

Abstract

Smart architecture is the concept to manage the facilities via internet utilization in a proper manner. There are various technologies used in smart architecture such as cloud computing, internet of things, green computing, automation and fog computing. Smart medical system (SMS) is one of the application used in architecture, which is based on communication networking along with sensor devices. In SMS, a doctor provides online treatment to patients with the help of cloud-based applications such as mobile device, wireless body area network, etc. Security and privacy are the major concern of cloud-based applications in SMS. To maintain, security and privacy, we aim to design an elliptic curve cryptography (ECC) based secure and efficient authentication framework for cloud-assisted SMS. There are six phases in the proposed protocol such as: patient registration phase, healthcare center upload phase, patient data upload phase, treatment phase, checkup phase and emergency phase. In CSEF, there are four entities like healthecare center, patient, cloud and doctor. In CSEF, mutual authentication establishes between healthcare center and cloud, patient and cloud, doctor and cloud, and patient and healthcare center by the using ECC and hash function. The CSEF is secure against security attacks, and satisfies many security attributes such as man-in-the-middle attack, impersonation attack, data non-repudiation, doctor anonymity, replay attack, known-key security property, message authentication, patient anonymity, data confidentiality, stolen-verifier attack, parallel session attack and session key security. Further, the CSEF is efficient in terms of computation and communication compared to others related frameworks. As a result, CSEF can be utilized in cloud-based SMS.

Secure Patient Authentication Framework in the Healthcare System Using Wireless Medical Sensor Networks

“…erefore, keeping in view these measures/ calculations and computations, the storage overhead analysis of the proposed authentication protocol is shown in Table 4. Upon comparing it with Kumari et al [31], Rathore et al [32], Wu et al [33], and Amin et al [5], it proves different and fundamental security characteristics/objectives that are higher than those of the mentioned protocols. Graphically, the storage overhead analysis is shown in Figure 7.…”

“…Comparing the proposed scheme in terms of computation time complexity due to the experiment performed by phase 6t h + 1t ⊕ . e computation time complexity of the proposed scheme is slightly higher compared to [5,31,33], as shown in Table 5. e protocol presented by [31] is a minimum one-way hash time, but it has maximum exponential execution time, while the XOR time complexity is negligibly equal to zero.…”

“…However, their strategy is suffering from a privileged insider attack, as the password and identity are transmitted from the user openly towards the server. Kumari et al [31] provided highlevel protection without reducing cloud/fog computing performance, mostly when IoMT is used, and they named it Fog-based Access Control Model (FACM). A cloud-based approach is applied in either mobile or nonmobile context, operating as an additional layer for fog servers, and can offer personalized access control environment.…”

“…Subsequently, it can be compared with some recent and prominent protocols like Kumari et al [31], Rathore et al…”

Seamless Health Monitoring Using 5G NR for Internet of Medical Things

“…It establishes a mutually exclusive environment among patients, cloud servers, doctors, and healthcare centers, for preserving individual privacy and communication security. The cloud-based secure and efficient framework (CSEF) [34], establishes the session key among the pairs of doctor & cloud, patient & cloud, healthcare center & patient, and healthcare center & cloud, for the satisfaction of several security attributes.…”