A novel authentication protocol to ensure confidentiality among the Internet of Medical Things in covid-19 and future pandemic scenario

Alam, Irfan; Kumar, Manoj

doi:10.1016/j.iot.2023.100797

Cited by 5 publications

(2 citation statements)

References 56 publications

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“…A two-factor data authentication scheme with access control was proposed by Gupta et al [26] for an industrial healthcare infrastructure. Alam and Kumar [27] designed a session key establishment protocol for ensuring confidentiality of IoMT-based communications in COVID-19 and future pandemic scenarios. In addition, Thakare and Kim [28] discussed another two-factor cryptographic approach for user authentication in IoT networks, and Yu et al [29] introduced a biometrics-based multi-server user authentication and key agreement mechanism using extended chaotic maps.…”

Section: User Authentication and Key Negotiation Solutionsmentioning

confidence: 99%

Securing Group Patient Communication in 6G-Aided Dynamic Ubiquitous Healthcare with Real-Time Mobile DNA Sequencing

2023

Bioengineering

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(1) Background: With an advanced technique, third-generation sequencing (TGS) provides services with long deoxyribonucleic acid (DNA) reads and super short sequencing time. It enables onsite mobile DNA sequencing solutions for enabling ubiquitous healthcare (U-healthcare) services with modern mobile technology and smart entities in the internet of living things (IoLT). Due to some strict requirements, 6G technology can efficiently facilitate communications in a truly intelligent U-healthcare IoLT system. (2) Research problems: conventional single user–server architecture is not able to enable group conversations where “multiple patients–server” communication or “patient–patient” communication in the group is required. The communications are carried out via the open Internet, which is not a trusted channel. Since heath data and medical information are very sensitive, security and privacy concerns in the communication systems have become extremely important. (3) Purpose: the author aims to propose a dynamic group-based patient-authenticated key distribution protocol for 6G-aided U-healthcare services enabled by mobile DNA sequencing. In the protocol, an authenticated common session key is distributed by the server to the patients. Using the key, patients in a healthcare group are allowed to securely connect with the service provider or with each other for specific purposes of communication. (4) Results: the group key distribution process is protected by a secure three-factor authentication mechanism along with an efficient sequencing-device-based single sign-on (SD-SSO) solution. Based on traceable information stored in the server database, the proposed approach can provide patient-centered services which are available on multiple mobile devices. Security robustness of the proposed protocol is proven by well-known verification tools and a detailed semantic discussion. Performance evaluation shows that the protocol provides more functionality and incurs a reasonable overhead in comparison with the existing works.

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Section: User Authentication and Key Negotiation Solutionsmentioning

confidence: 99%

Securing Group Patient Communication in 6G-Aided Dynamic Ubiquitous Healthcare with Real-Time Mobile DNA Sequencing

2023

Bioengineering

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“…They are caused by various pathogens, which pose a serious threat to human life and property security. One example is the outbreak of the COVID-19 pandemic, which has had huge impacts on people's health, the global economy, and the international community [1]. As of March 2023, there have been more than 470 million confirmed cases and over 6 million deaths worldwide [2].…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Enabled Infection Sample Collection System Using Two-Echelon Drone-Assisted Mechanism

Kang,

2024

Drones

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The collection and transportation of samples are crucial steps in stopping the initial spread of infectious diseases. This process demands high levels of safety and timeliness. The rapid advancement of technologies such as the Internet of Things (IoT) and blockchain offers a viable solution to this challenge. To this end, we propose a Blockchain-enabled Infection Sample Collection system (BISC) consisting of a two-echelon drone-assisted mechanism. The system utilizes collector drones to gather samples from user points and transport them to designated transit points, while deliverer drones convey the packaged samples from transit points to testing centers. We formulate the described problem as a Two-Echelon Heterogeneous Drone Routing Problem with Transit point Synchronization (2E-HDRP-TS). To obtain near-optimal solutions to 2E-HDRP-TS, we introduce a multi-objective Adaptive Large Neighborhood Search algorithm for Drone Routing (ALNS-RD). The algorithm’s multi-objective functions are designed to minimize the total collection time of infection samples and the exposure index. In addition to traditional search operators, ALNS-RD incorporates two new search operators based on flight distance and exposure index to enhance solution efficiency and safety. Through a comparison with benchmark algorithms such as NSGA-II and MOLNS, the effectiveness and efficiency of the proposed ALNS-RD algorithm are validated, demonstrating its superior performance across all five instances with diverse complexity levels.

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A secure authentication protocol for remote patient monitoring in an internet‐of‐medical‐things environment

Mookherji,

Vanga,

Prasath

et al. 2024

Security and Privacy

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Internet of Medical Things (IoMT) enable users to avail healthcare services remotely. In IoMT, sensor nodes (SNs), like blood pressure sensors and temperature sensors, collect health data from patients and communicate it to Health Workers (HWs) such as doctors, nurses, and so on. The HWs cater to the patients remotely, known as remote patient monitoring (RPM), by using data obtained from SNs. The communicated health data between SNs and HWs are sensitive in nature. Leakage and modification of such data leads to huge consequences, particularly patient death during medical emergencies. Hence, ensuring mutual authentication along with data integrity and privacy is of utmost important in the healthcare domain. In the literature, many authentication protocols are presented for healthcare applications specific to IoMT‐RPM. But, most of the existing approaches fail to provide adequate security against well‐known attacks includes impersonation and man‐in‐the‐middle attacks. In this paper, we propose a privacy preserving authentication protocol for IoMT‐RPM which is secure against various known attacks. We present a rigorous formal security analysis of our protocol under the extended Canetti‐Krawczyk (eCK) adversary model. In addition, we also perform formal verification using Tamarin Prover, a symbolic formal analysis tool. The results show that the proposed protocol is secure under eCK‐adversary model. We then present the comparative performance analysis to show the efficiency of the proposed protocol over the existing protocols. As a result, the proposed protocol provides high security without compromising the performance over the existing protocols, and therefore, our protocol is very much suitable for real‐time applications.

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A novel authentication protocol to ensure confidentiality among the Internet of Medical Things in covid-19 and future pandemic scenario

Cited by 5 publications

References 56 publications

Securing Group Patient Communication in 6G-Aided Dynamic Ubiquitous Healthcare with Real-Time Mobile DNA Sequencing

Securing Group Patient Communication in 6G-Aided Dynamic Ubiquitous Healthcare with Real-Time Mobile DNA Sequencing

Blockchain-Enabled Infection Sample Collection System Using Two-Echelon Drone-Assisted Mechanism

A secure authentication protocol for remote patient monitoring in an internet‐of‐medical‐things environment

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