An Improved Authentication and Security on Efficient Generalized Group Key Agreement Using Hyper Elliptic Curve Based Public Key Cryptography for IoT Health Care System

Kavitha, S.; Alphonse, P. J. A.; Reddy, Y. Venkataramana

doi:10.1007/s10916-019-1378-2

Cited by 44 publications

(25 citation statements)

References 15 publications

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“…Cryptography contributes to strong privacy and security assurance in H-IoT applications used in the connection of COVID-19 but they increase the computation and transmission costs. Despite that, patients’ embedded IoT devices need plenty of processing energy to produce and disseminate authentication keys in the event of strong encryption and decryption, which will result in a huge rise in the network overhead ( Alassaf, Gutub, 2019 , Kavitha, Alphonse, Reddy, 2019 ). Encryption systems might be jeopardized by discovering flaws in the numerical solution of cryptography, which may contribute to cipher violation and data leakage.…”

Section: Network and Security Challenges In H-iotmentioning

confidence: 99%

Emerging IoT Applications in Sustainable Smart Cities for COVID-19: Network Security and Data Preservation Challenges with Future Directions

Adil

Khan

2021

Sustainable Cities and Society

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COVID-19 is a global infectious disease that can be easily spread by the contiguity of infected people. To prevent from COVID-19 and reduce its impact in sustainable smart cities, the global research communities are working relentlessly by harnessing the emerging technologies to develop the safest diagnosis, evaluation, and treatment procedures, and Internet of Things (IoT) is one of the pioneers among them. IoT can perform a pivotal role to diminish its immense contagious rate by suitable utilization in emerging healthcare IoT applications in sustainable smart cities. Therefore, the focus of this paper is to outline a survey of the emerging healthcare IoT applications practiced in the perspective of COVID-19 pandemic in terms of network architecture security, trustworthiness, authentication, and data preservation followed by identifying existing challenges to set the future research directions. The salient contributions of this work deal with the accomplishment of a detailed and comprehensive literature review of COVID-19 starting from 2019 through 2021 in the context of emerging healthcare IoT technology. In addition, we extend the correlated contributions of this work by highlighting the weak aspects of the existing emerging healthcare IoT applications, security of different network layers and secure communication environment followed by some associated requirements to address these challenges. Moreover, we also identify future research directions in sustainable smart cities for emerging healthcare IoT utilization in the context of COVID-19 with the most productive results and least network implementation costs.

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Section: Network and Security Challenges In H-iotmentioning

confidence: 99%

Emerging IoT Applications in Sustainable Smart Cities for COVID-19: Network Security and Data Preservation Challenges with Future Directions

Adil

Khan

2021

Sustainable Cities and Society

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“…It is a crucial part of our lives. Indeed, people are more conscious about their personal data privacy, whether it is regarding money, vehicles, or health [17]. They do not want to discuss things that are not necessary to share with a third person.…”

Section: Health Care In Iotmentioning

confidence: 99%

Security Framework for IoT Based Real-Time Health Applications

et al. 2021

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The amazing fusion of the internet of things (IoT) into traditional health monitoring systems has produced remarkable advances in the field of e-health. Different wireless body area network devices and sensors are providing real-time health monitoring services. As the number of IoT devices is rapidly booming, technological and security challenges are also rising day by day. The data generated from sensor-based devices need confidentiality, integrity, authenticity, and end-to-end security for safe communication over the public network. IoT-based health monitoring systems work in a layered manner, comprising a perception layer, a network layer, and an application layer. Each layer has some security, and privacy concerns that need to be addressed accordingly. A lot of research has been conducted to resolve these security issues in different domains of IoT. Several frameworks for the security of IoT-based e-health systems have also been developed. This paper introduces a security framework for real-time health monitoring systems to ensure data confidentiality, integrity, and authenticity by using two common IoT protocols, namely constrained application protocol (CoAP) and message query telemetry transports (MQTT). This security framework aims to defend sensor data against the security loopholes while it is continuously transmitting over the layers and uses hypertext transfer protocols (HTTPs) for this purpose. As a result, it shields from the breach with a very low ratio of risk. The methodology of this paper focuses on how the security framework of IoT-based real-time health systems is protected under the tiers of CoAP and HTTPs. CoAP works alongside HTTPs and is responsible for providing end-to-end security solutions.

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“…Kavitha et al [29] have presented an improved authentication scheme using elliptic curve cryptography for healthcare application. Authors have discussed the problems and the failures in conventional cryptographic algorithms when applied to IoT applications.…”

Section: Related Workmentioning

confidence: 99%

A Secure Framework for Authentication and Encryption Using Improved ECC for IoT-Based Medical Sensor Data

et al. 2020

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Mobile users are increasing exponentially to adopt ubiquitous services offered by various sectors. This has attracted attention for a secure communication framework to access e-health data on mobile devices. The wearable sensor device is attached to the patient's body which monitors the blood pressure, body temperature, serum cholesterol, glucose level, etc. In the proposed secure framework, first, the task starts with the patient authentication, after that the sensors device linked to the patient is activated and the sensor values of the patient are transmitted to the cloud server. The patient's biometrics information has been added as a parameter in addition to the user name and password. The authentication scheme is coined with the SHA-512 algorithm that ensures integrity. To securely send the sensor information, the method follows two kinds of encryption: Substitution-Ceaser cipher and improved Elliptical Curve Cryptography (IECC). Whereas in improved ECC, an additional key (secret key) is generated to enhance the system's security. In this way, the intricacy of the two phases is augmented. The computational cost of the scheme in the proposed framework is 4H + Ec + Dc which is less than the existing schemes. The average correlation coefficient value is about 0.045 which is close to zero shows the strength of the algorithm. The obtained encryption and decryption time are 1.032 µs and 1.004µs respectively. The overall performance is analyzed by comparing the proposed improved ECC with existing Rivest-Shamir-Adleman (RSA)and ECC algorithms.

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An Improved Authentication and Security on Efficient Generalized Group Key Agreement Using Hyper Elliptic Curve Based Public Key Cryptography for IoT Health Care System

Cited by 44 publications

References 15 publications

Emerging IoT Applications in Sustainable Smart Cities for COVID-19: Network Security and Data Preservation Challenges with Future Directions

Emerging IoT Applications in Sustainable Smart Cities for COVID-19: Network Security and Data Preservation Challenges with Future Directions

Security Framework for IoT Based Real-Time Health Applications

A Secure Framework for Authentication and Encryption Using Improved ECC for IoT-Based Medical Sensor Data

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