Security and Communication Networks

Security and Networking for Healthcare Information Exchange and Storage in the Big Data Ecosystem


Publishing date
01 Mar 2022
Status
Closed
Submission deadline
05 Nov 2021

1Birla Institute of Technology, Ranchi, India

2Linnaeus University, Vaxjo, Sweden

3Coal City University, Enugu, Nigeria

This issue is now closed for submissions.
More articles will be published in the near future.

Security and Networking for Healthcare Information Exchange and Storage in the Big Data Ecosystem

This issue is now closed for submissions.
More articles will be published in the near future.

Description

In the past few years, the deployment of sensor networks and the Internet of Things (IoT) has grown significantly. This continuous and exponential growth is facilitated by investments and research activities originating from industry, academia, and governments, while the penetration of these technologies is also driven by the high technology acceptance rates of both consumers and technologists across disciplines. Such networks collect, store, and exchange a large volume of heterogeneous societal data specifically for the health and medical domain. Nevertheless, their rapid and widespread deployment and their participation in the provisioning of potentially critical healthcare and industrial services raise numerous issues related to the security and data analysis of the performed operations and provided services.

IoT technologies have become increasingly in demand in healthcare for development, testing, and trials, with uses both in hospitals and homes. End-to-end clinical data connectivity involves developing many technologies that should enable reliable and location-agnostic communication between a patient and a healthcare provider. However, the main challenge in healthcare is how to manage concerning critical applications, where several connected devices generate a large amount of medical data. This large volume of data, often called big data, cannot readily be processed by traditional data processing algorithms and applications over a secured intelligent communication network. By investigating and collecting large amounts of healthcare data (i.e., big data), medical IoT can enhance the decision-making process and early disease diagnosis. Accordingly, research on the data analysis and security of medical IoT is attracting increasing attention from both industry and academia.

In line with these efforts, the central theme of this Special Issue is to report novel methodologies, theories, technologies, techniques, and solutions for healthcare data security and analytics techniques for a sustainable smart society. This Special Issue aims to address these topics across multiple abstraction levels, ranging from architectural models, the provisioning of services, protocols, and interfaces to specific implementation approaches. Furthermore, additional focus will be given to areas related to the role of data mining and machine learning in modeling and deploying intelligent and secure healthcare data-driven smart society (SHDS). We aim to present the most important and relevant advances to overcome the challenges related to security, data analytics, communication networks, and energy-aware solutions in the Internet of Things. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Novel security architectures, protocols, or applications for SHDS
  • Privacy preservation and vulnerability analysis in the SHDS
  • Threat modelling and risk assessment in smart society
  • Energy-aware secure communications in SHDS
  • Intrusion detection, disaster recovery, and forensics for SHDS
  • Privacy-preserving, machine-learning-based data analytics in SHDS
  • Security testbeds and experimental results for SHDS
  • Lightweight security protocols and architectures for SHDS
  • Privacy-enhancing and anonymization techniques in sensor networks and the SHDS
  • Trust and identity management in SHDS
  • Access control for shared data in IoT devices
  • Software-Defined Networking for SHDS
  • Machine learning, data mining, and blockchain-based solutions for SHDS
  • Distributed data mining and machine learning systems for secured SHDS
  • Security management and security of mobile solutions for SHDS

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 5113725
  • - Research Article

Method of Cumulative Anomaly Identification for Security Database Based on Discrete Markov chain

Zhiying Xu | Ting Yang | Moslem Lari Najafi
  • Special Issue
  • - Volume 2022
  • - Article ID 9363377
  • - Research Article

Enhanced Lorenz-Chaotic Encryption Method for Partial Medical Image Encryption and Data Hiding in Big Data Healthcare

P. Rashmi | M. C. Supriya | Qiaozhi Hua
  • Special Issue
  • - Volume 2022
  • - Article ID 2366632
  • - Research Article

Electronic Health Record Monitoring System and Data Security Using Blockchain Technology

Kazi Tamzid Akhter Md Hasib | Ixion Chowdhury | ... | Sami Bourouis
  • Special Issue
  • - Volume 2022
  • - Article ID 8801978
  • - Research Article

Fast Extraction Algorithm for Local Edge Features of Super-Resolution Image

Feng Chen | Botao Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 3272603
  • - Research Article

Big Data Analytics and Discrete Choice Model for Enterprise Credit Risk Early Warning Algorithm

Jiangbo Yu
  • Special Issue
  • - Volume 2021
  • - Article ID 7568538
  • - Research Article

A Chaotic-Map-Based Password-Authenticated Key Exchange Protocol for Telecare Medicine Information Systems

Yanrong Lu | Dawei Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 9363824
  • - Research Article

A Lightweight Proxy Re-Encryption Approach with Certificate-Based and Incremental Cryptography for Fog-Enabled E-Healthcare

Junaid Hassan | Danish Shehzad | ... | M. Irfan Uddin
  • Special Issue
  • - Volume 2021
  • - Article ID 1425732
  • - Research Article

Prediction of IoT Traffic Using the Gated Recurrent Unit Neural Network- (GRU-NN-) Based Predictive Model

Sonali Appasaheb Patil | L. Arun Raj | Bhupesh Kumar Singh
  • Special Issue
  • - Volume 2021
  • - Article ID 1326357
  • - Research Article

Edge Location Method for Multidimensional Image Based on Edge Symmetry Algorithm

Chen Li
  • Special Issue
  • - Volume 2021
  • - Article ID 9293877
  • - Research Article

Financial Fraud Detection in Healthcare Using Machine Learning and Deep Learning Techniques

Abolfazl Mehbodniya | Izhar Alam | ... | Mangena Venu Madhavan
Security and Communication Networks
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.