Forward and Backward Key Secrecy Preservation Scheme for Medical Internet of Things

Nyangaresi, Vincent Omollo; Abduljabbar, Zaid Ameen; Mutlaq, Keyan Abdul-Aziz; Hussain, Mohammed Abdulridha; Hussien, Zaid Alaa

doi:10.1007/978-981-19-5403-0_2

Cited by 6 publications

(5 citation statements)

References 36 publications

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“…The protocol achieved a 43.98% reduction in computational overhead, an 18.18% increase in supported security characteristics, and a 19.05% reduction in space complexities. Another noteworthy study in wireless healthcare networks addressed security and privacy by developing an authentication scheme that ensures strong mutual authentication, backward secrecy, session key negotiation, and forward key secrecy in transmitting sensitive patient data over wireless channels [ 38 ]. The scheme proved resilient against various attacks and exhibited lower computation and communication complexities.…”

Section: Related Workmentioning

confidence: 99%

Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges

Waleed,

Kamal,

et al. 2023

Sensors

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The remote monitoring of patients using the internet of things (IoT) is essential for ensuring continuous observation, improving healthcare, and decreasing the associated costs (i.e., reducing hospital admissions and emergency visits). There has been much emphasis on developing methods and approaches for remote patient monitoring using IoT. Most existing frameworks cover parts or sub-parts of the overall system but fail to provide a detailed and well-integrated model that covers different layers. The leverage of remote monitoring tools and their coupling with health services requires an architecture that handles data flow and enables significant interventions. This paper proposes a cloud-based patient monitoring model that enables IoT-generated data collection, storage, processing, and visualization. The system has three main parts: sensing (IoT-enabled data collection), network (processing functions and storage), and application (interface for health workers and caretakers). In order to handle the large IoT data, the sensing module employs filtering and variable sampling. This pre-processing helps reduce the data received from IoT devices and enables the observation of four times more patients compared to not using edge processing. We also discuss the flow of data and processing, thus enabling the deployment of data visualization services and intelligent applications.

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Section: Related Workmentioning

confidence: 99%

Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges

Waleed,

Kamal,

et al. 2023

Sensors

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“…The emergence of the industrial internet of things (IIoT) has advanced e-health by facilitating the development of connected healthcare systems that enhance interoperability, visibility and data connectivity. However, the deployment of such technology has led to growing concerns regarding security and privacy [173] of healthcare data. The risks are further increased when the collection, sharing and processing is accomplished via cutting-edge connected sensor devices.…”

Section: Key Findingsmentioning

confidence: 99%

A survey of healthcare sector digitization strategies: Vulnerabilities, countermeasures and opportunities

Nyakina¹,

Taher²

2023

World J. Adv. Eng. Technol. Sci.

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The adoption of electronic healthcare in hospital environment can potentially reduce costs and improve the quality of life of the patients. However, numerous security and privacy issues arise when sensitive patient data is shared among multiple devices and users. Owing to its vulnerable nature, electronic health records seem to be more attractive to attackers compared to other forms of records such as financial transactions. Consequently, the patient data collected at the sensors, transmitted across communication channels and residing in hospital servers is susceptible to various threats. The goal of this paper was to carry out a survey of the electronic healthcare environment and attempt to understand the various weaknesses that can be exploited. This is followed by some descriptions of the various preventive mechanisms as well as the noted gaps. Therefore, numerous recommendations are given that are deemed fit for enhanced security and privacy posture in electronic healthcare domain.

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“…In addition, the approach in [144] cannot provide anonymity [146]. This problem is tackled by the dynamic pseudonym based authentication schemes in [147], [148], [149], [150], [151], [152], [153], [154], [155], [156], [157], [158], [159], [160], [161], [162] and [163]. As such, the eavesdropping the communication channel cannot yield any valid users identities [59], [164], [165].…”

Section: Security Schemes For Cloud Environmentmentioning

confidence: 99%

Cloud computing communication environment security and performance: Challenges and probable solutions

Kanini¹

2023

World J. Adv. Eng. Technol. Sci.

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The adoption of cloud computing has continued to grow, owing to its broad network access, remote accessibility, scalability, on demand self-service, rapid elasticity and resource pooling. In this environment, numerous devices are deployed to access the cloud data and services. This potentially increases the attack services, more so in public clouds. As such, the biggest challenge is the secure data exchange over insecure open network channels. This issue has seen the development of numerous security solutions over the recent past. In this paper, a survey of these security schemes, techniques and methods is provided. The findings indicate that majority of these methods have vulnerabilities that expose users to many attacks. Additionally, some of these security solutions have extremely high complexities that make the cloud communications inefficient.

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Forward and Backward Key Secrecy Preservation Scheme for Medical Internet of Things

Cited by 6 publications

References 36 publications

Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges

Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges

A survey of healthcare sector digitization strategies: Vulnerabilities, countermeasures and opportunities

Cloud computing communication environment security and performance: Challenges and probable solutions

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