Secure Authentication and Prescription Safety Protocol for Telecare Health Services Using Ubiquitous IoT

Abstract

Internet-of-Things (IoT) include a large number of devices that can communicate across different networks. Cyber-Physical Systems (CPS) also includes a number of devices connected to the internet where wearable devices are also included. Both systems enable researchers to develop healthcare systems with additional intelligence as well as prediction capabilities both for lifestyle and in hospitals. It offers as much persistence as a platform to ubiquitous healthcare by using wearable sensors to transfer the information over servers, smartphones, and other smart devices in the Telecare Medical Information System (TMIS). Security is a challenging issue in TMIS, and resourceful access to health care services requires user verification and confidentiality. Existing schemes lack in ensuring reliable prescription safety along with authentication. This research presents a Secure Authentication and Prescription Safety (SAPS) protocol to ensure secure communication between the patient, doctor/nurse, and the trusted server. The proposed procedure relies upon the efficient elliptic curve cryptosystem which can generate a symmetric secure key to ensure secure data exchange between patients and physicians after successful authentication of participants individually. A trusted server is involved for mutual authentication between parties and then generates a common key after completing the validation process. Moreover, the scheme is verified by doing formal modeling using Rubin Logic and validated using simulations in NS-2.35. We have analyzed the SAPS against security attacks, and then performance analysis is elucidated. Results prove the dominance of SAPS over preliminaries regarding mutual authentication, message integrity, freshness, and session key management and attack prevention.

Secure Healthcare Data Aggregation and Transmission in IoT—A Survey

“…It provides secure and anonymity based remote conversation between authenticated patient and healthcare professional. This research work provides a platform for privacy preserved and secure healthcare based data transmission [58]. In lightweight data aggregation schemes, security is an essential need for the deployment of e-healthcare applications.…”

“…In these schemes, only SAPS [58], HMAC [59], AVISPA [60], PCDA [61] analyzed metrics while comparing with other schemes, four of them present metrics for communication costs. Low computation and storage costs are explored in [58], low computational cost and energy consumption in [59], [60], minimum energy consumption with high computation cost in [61], anonymous and secure transaction of healthcare data in [62], [63]. Section-III elaborates eight different schemes based on secure data aggregation schemes using Fog computing in healthcare.…”

A Survey of Enabling Technologies for Smart Communities

“…It is important to realize that many IoT devices, such as a smart coffee maker, for example, only contain an embedded processor and, as a rule, do not have general-purpose compute capabilities. Being ubiquitous and pervasive, IoT systems are expected to see a wide adoption in industrial applications [101,102], healthcare [103][104][105][106] and, more broadly, to be incorporated in the fabric of a Smart City or Smart Community [59,98,[107][108][109].…”

“…These challenges need to be addressed before IoTs are to see the predicted phenomenal adoption rate. For example, the problem of IoT system security and privacy is becoming significant in the context of Smart Cities and Smart Communities [103,[110][111][112].…”

Smart Healthcare

“…In [18], Mahmood et al proposed a secure authentication and prescription safety protocol to facilitate secure communication between patients and caregivers remotely. The protocol is validated via formal modeling using Rubin logic and via simulation using NS-2.…”