A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

Li, Wei; Chai, Yunpeng; Khan, Fazlullah; Jan, Syed Rooh Ullah; Verma, Sahil; Menon, Varun G.; Kavita, .; Li, Xingwang

doi:10.1007/s11036-020-01700-6

Cited by 198 publications

(82 citation statements)

References 134 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…References ( Adil, 2021 , Adil, Jan, Mastorakis, Song, Jadoon, Abbas, Farouk, 2021 , Manavi, Nekkanti, Choudhary, Jayapandian, 2020 , Sharma, Bahl, Bagha, Javaid, Shukla, Haleem, 2020 ) discuss the security issues associated with different applications of IoT-powered technologies used in COVID-19 scanning, touch tracking, and surveillance. In Li et al. (2021) , the authors provided a thorough overview of the H-IoT applications leveraging machine learning (ML) strategies for large data analysis.…”

Section: Secure Network Architecture and Authentication Approachesmentioning

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

View full text Add to dashboard Cite

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.

show abstract

Section: Secure Network Architecture and Authentication Approachesmentioning

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

View full text Add to dashboard Cite

show abstract

“…It is mainly used for the management of information systems to help achieve secure storage, transactions, process automation, and other applications [ 3 ]. ML is the leading technology for performing complex analysis, intelligent judgment, and creative problem solving in healthcare [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Literature Review on the Applications of Machine Learning and Blockchain Technology in Smart Healthcare Industry: A Bibliometric Analysis

Shan

Beiwei

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

The emergence of machine learning (ML) and blockchain (BC) technology has greatly enriched the functions and services of healthcare, giving birth to the new field of “smart healthcare.” This study aims to review the application of ML and BC technology in the smart medical industry by Web of Science (WOS) using bibliometric visualization. Through our research, we identify the countries with the greatest output, the major research subjects, funding funds, and the research hotspots in this field. We also find out the key themes and future research areas in application of ML and BC technology in healthcare area. We reveal the different aspects of research under the two technologies and how they relate to each other around five themes.

show abstract

“…IoT-based data analytics are presented in [34,35]. In [36] a comparative study is performed based on machine learning techniques.…”

Section: Partial-regeneration-based Non-dominated Optimizationmentioning

confidence: 99%

Secure Surveillance Systems Using Partial-Regeneration-Based Non-Dominated Optimization and 5D-Chaotic Map

et al. 2021

Self Cite

View full text Add to dashboard Cite

Due to Internet of Things (IoT), it has become easy to surveil the critical regions. Images are important parts of Surveillance Systems, and it is required to protect the images during transmission and storage. These secure surveillance frameworks are required in IoT systems, because any kind of information leakage can thwart the legal system as well as personal privacy. In this paper, a secure surveillance framework for IoT systems is proposed using image encryption. A hyperchaotic map is used to generate the pseudorandom sequences. The initial parameters of the hyperchaotic map are obtained using partial-regeneration-based non-dominated optimization (PRNDO). The permutation and diffusion processes are applied to generate the encrypted images, and the convolution neural network (CNN) can play an essential role in this part. The performance of the proposed framework is assessed by drawing comparisons with competitive techniques based on security parameters. It shows that the proposed framework provides promising results as compared to the existing techniques.

show abstract

A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

Cited by 198 publications

References 134 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

Literature Review on the Applications of Machine Learning and Blockchain Technology in Smart Healthcare Industry: A Bibliometric Analysis

Secure Surveillance Systems Using Partial-Regeneration-Based Non-Dominated Optimization and 5D-Chaotic Map

Contact Info

Product

Resources

About