Modeling of cyber threat analysis and vulnerability in IoT-based healthcare systems during COVID

Rawat, Romil; Mahor, Vinod; Garg, Bhagwati; Chouhan, Mukesh; Pachlasiya, Kiran; Telang, Shrikant

doi:10.1016/b978-0-323-99878-9.00016-9

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…The proposed method was compared with the different conventional methods such as CNN [ 23 ], homomorphic [ 24 ], PBDL [ 25 ], GT-BSS [ 27 ], and AES [ 28 ] in terms of encryption time, decryption time, resource optimization, execution time, delay, key generation, and so on.…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, AI systems regulate elements of malware and robot behavior that are impossible for humans to hold [ 25 ] manually. In the past, several security measures were put out to protect the transmission of patient data to hospitals [ 26 , 27 , 28 , 29 ]. However, the high cost and lengthy process prevent the best option from being implemented.…”

Section: Introductionmentioning

confidence: 99%

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Managing Security of Healthcare Data for a Modern Healthcare System

Almalawi

Khan

Alsolami

et al. 2023

Sensors

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The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting clinical and patient services, reducing costs and improving community health. Yet, a fundamental challenge that the modern healthcare management system faces is storing and securely transferring data. Therefore, this research proposes a novel Lionized remora optimization-based serpent (LRO-S) encryption method to encrypt sensitive data and reduce privacy breaches and cyber-attacks from unauthorized users and hackers. The LRO-S method is the combination of hybrid metaheuristic optimization and improved security algorithm. The fitness functions of lion and remora are combined to create a new algorithm for security key generation, which is provided to the serpent encryption algorithm. The LRO-S technique encrypts sensitive patient data before storing it in the cloud. The primary goal of this study is to improve the safety and adaptability of medical professionals’ access to cloud-based patient-sensitive data more securely. The experiment’s findings suggest that the secret keys generated are sufficiently random and one of a kind to provide adequate protection for the data stored in modern healthcare management systems. The proposed method minimizes the time needed to encrypt and decrypt data and improves privacy standards. This study found that the suggested technique outperformed previous techniques in terms of reducing execution time and is cost-effective.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Managing Security of Healthcare Data for a Modern Healthcare System

Almalawi

Khan

Alsolami

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The rise in cyber threats and vulnerabilities has been significant during the COVID-19 pandemic, as the world shifted towards increased technology usage. A solution to this challenge is presented in this work [72] in the form of IoT-Attributes and Threat Analyzer for Tracing Malicious Traffic in Smart Sensor Environment (IoT-ATATMT). This tool allows for the analysis of traffic from both normal and suspicious smart devices, using various machine learning algorithms to detect and protect against cyber threats in the e-healthcare system through a specially curated dataset.…”

Section: Securing Of Healthcare Systemsmentioning

confidence: 99%

Efficiency, Research, and Healthcare Economics: (Vital Threat Detection System) A Systematic Review

Aljuhani,

Alraigi,

Alotaibi

et al. 2024

IJCI

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Monitoring vital signs and detecting diseases like diabetes and cancer at an early stage are incredibly important for safeguarding patients' lives and ensuring a healthy environment. In this study, we present a comprehensive systematic review focusing on vital monitoring systems in diverse fields. We reviewed 85 articles spanning from 2019 to 2024. From the selected articles, our aim is to explore the frameworks and algorithms of vital signs monitoring, the latest techniques used in remote vital signs monitoring such as radar and smart watch, as well as the measurement of vital signs for heart rate and respiratory diseases. Also, we discuss the threats that may affect healthcare systems and how to secure against these threats. The findings emphasize the critical importance of acquiring continuous vital monitoring systems, which have immense potential for improving healthcare. These systems are crucial for early diagnosis and prediction of conditions that may negatively impact the patient's health. Additionally, it could be beneficial for doctors and healthcare staff by saving time and costs.

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“…In terms of data collection and subsequent analysis, IoT devices can operate in real time, enabling them to make decisions based on these data and thereby reducing the need to store and process raw data. By storing data in the cloud, IoT devices facilitate remote monitoring and enable more efficient diagnostic and medical treatment processes [8].…”

Section: Introductionmentioning

confidence: 99%

A Bibliometrics Analysis of Medical Internet of Things for Modern Healthcare

Nguyen,

Danh,

et al. 2023

Electronics

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The integration of the Internet of Things (IoT) in healthcare has been a popular topic in recent years. This article provides a comprehensive review of the medical IoT for healthcare, emphasizing the state of the art, the enabling technologies to adopt virtuality and reality interaction, and human-centered communication for healthcare (the Metaverse, Extended Reality (XR), blockchain, Artificial Intelligence (AI), robotics). In particular, we assess the number of scientific articles and patents within the period 2015–2022. We then use the two-stage process following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and screening techniques. From that, the relations among the published papers can be visualized. This study examines the insights by evaluating the weights and connections of the nodes in the bibliometric networks. The reviewed papers showcase the rapid growth of IoT-related studies and intellectual property developments, reflecting the burgeoning interest and investment in this domain. As this paper delves into the network of interconnections between these works, it fosters a deeper understanding of the current state of IoT applications in healthcare and uncovers potential research gaps and areas for future exploration. This paper also provides a brief view of the role of IoT in healthcare research and application in combination with emerging technologies such as AI, blockchain, the IoT-enabled Metaverse, robotics, and cloud computing. The article can serve as a guideline and inspiration for both researchers and practitioners in the smart health service sector.

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Modeling of cyber threat analysis and vulnerability in IoT-based healthcare systems during COVID

Cited by 7 publications

References 4 publications

Managing Security of Healthcare Data for a Modern Healthcare System

Managing Security of Healthcare Data for a Modern Healthcare System

Efficiency, Research, and Healthcare Economics: (Vital Threat Detection System) A Systematic Review

A Bibliometrics Analysis of Medical Internet of Things for Modern Healthcare

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