4.6 Article

HealthGuard: An Intelligent Healthcare System Security Framework Based on Machine Learning

Related references

Note: Only part of the references are listed.
Article Computer Science, Hardware & Architecture

Energy-efficient polyglot persistence database live migration among heterogeneous clouds

Kiranbir Kaur et al.

Summary: Cloud computing is a promising technology that functions as a resource provisioning platform without user participation. This paper presents a middleware in .NET Core for live migration of persistent polyglot data in heterogeneous clouds. The suggested technique outperforms offline migration in terms of migration time, energy usage, and throughput.

JOURNAL OF SUPERCOMPUTING (2023)

Article Engineering, Multidisciplinary

A Robust Data Hiding Reversible Technique for Improving the Security in e-Health Care System

Saima Kanwal et al.

Summary: This study proposes an improved reversible watermarking method that aims to maximize data embedding capacity and perceptual transparency while maintaining data security. Experimental results show that the proposed method outperforms existing techniques in terms of perceptual transparency and data embedding capacity.

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES (2023)

Article Computer Science, Cybernetics

Emphasizing privacy and security of edge intelligence with machine learning for healthcare

Sukumar Rajendran et al.

Summary: Artificial Intelligence (AI) has exceeded expectations in providing different possibilities for machines in various industries. Edge computing is becoming a significant trend, reducing latency, improving availability, and saving bandwidth. The combination of tensor processing units (TPU), graphics processing units (GPU), and sensors has enabled the advancement of medical technology with deep learning to improve patient care, while big data and IoT assist in predicting abnormalities and offering customized treatments.

INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS (2022)

Article Computer Science, Information Systems

A Hybrid Deep Learning-Based Approach for Brain Tumor Classification

Asaf Raza et al.

Summary: Brain tumors are spreading rapidly worldwide, making accurate detection and classification essential. In this study, a hybrid deep learning model called DeepTumorNet was proposed for classifying glioma, meningioma, and pituitary tumors using a convolutional neural network architecture. The model achieved high accuracy and outperformed other state-of-the-art models in classification tasks.

ELECTRONICS (2022)

Article Automation & Control Systems

Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions, Datasets, and Future Directions

Mohamed Amine Ferrag et al.

Summary: This paper reviews and analyzes intrusion detection systems for Agriculture 4.0 cyber security, covering cyber security threats, evaluation metrics, and classification of intrusion detection systems based on machine learning techniques. It also introduces public datasets, implementation frameworks, and outlines challenges and future research directions in this field.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2022)

Article Chemistry, Analytical

Efficient Middleware for the Portability of PaaS Services Consuming Applications among Heterogeneous Clouds

Salil Bharany et al.

Summary: This paper proposes a middleware platform to address the issue of application portability among clouds, and experimental results validate its effectiveness.

SENSORS (2022)

Article Green & Sustainable Science & Technology

A Novel Optimization for GPU Mining Using Overclocking and Undervolting

Mohammed Shuaib et al.

Summary: Cryptography and blockchain technology have existed for a long time and are advancing rapidly. Bitcoin, as a cryptocurrency based on blockchain, has sparked a digital revolution. The interest in cryptocurrency mining has grown among governments, enterprises, and individuals looking for a competitive edge or additional income.

SUSTAINABILITY (2022)

Article Remote Sensing

Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS

Salil Bharany et al.

Summary: This paper presents a unique clustering approach for forest fire detection, which transfers data to a base station via wireless communication to extend the lifetime of unmanned aerial vehicles. The proposed EE-SS algorithm, which regulates the energy usage of nodes, outperforms other state-of-art algorithms in terms of overall energy usage, network lifetime, and cluster building time.

DRONES (2022)

Article Energy & Fuels

Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol

Salil Bharany et al.

Summary: This study proposes an energy-efficient clustering algorithm for Flying Ad-hoc networks and improves the LEACH protocol to reduce energy consumption in data transmission, thereby extending network lifetime and maximizing node's residual energy. Experimental results on MATLAB show that the proposed algorithm outperforms existing LEACH and Centralized Low-Energy Adaptive Clustering Hierarchy Protocol in terms of energy efficiency and packet delivery ratio while also improving First Node Death compared to LEACH and LEACH-C protocols.

ENERGIES (2021)

Article Computer Science, Information Systems

Blockchain for IoT-Based Healthcare: Background, Consensus, Platforms, and Use Cases

Partha Pratim Ray et al.

Summary: This article highlights the importance of IoT and blockchain technologies in healthcare, emphasizing the benefits of their integration in designing decentralized e-healthcare systems. The decentralization provided by blockchain can address issues arising from centralized IoT data processing, offering a more reliable way to store and manage medical data.

IEEE SYSTEMS JOURNAL (2021)

Article Chemistry, Analytical

Towards Secure Fitness Framework Based on IoT-Enabled Blockchain Network Integrated with Machine Learning Algorithms

Faisal Jamil et al.

Summary: The paper discusses the application of blockchain technology in the Internet of Things, points out the vulnerability of IoT devices to security threats, and introduces a new secure fitness framework that combines blockchain network and machine learning methods.

SENSORS (2021)

Article Computer Science, Artificial Intelligence

Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey

Khan Muhammad et al.

Summary: This overview reviews deep learning-based methods for brain tumor classification, covering preprocessing, feature extraction, and classification steps, along with their applications and limitations in diagnostic analysis by radiologists. The study also investigates the impact of the latest convolutional neural network models on brain tumor classification through experiments, and explores future directions in personalized and smart healthcare.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Green & Sustainable Science & Technology

Towards Mountain Fire Safety Using Fire Spread Predictive Analytics and Mountain Fire Containment in IoT Environment

Imran et al.

Summary: This paper proposes a three-fold methodology for fire safety in mountain areas, including an optimization model, an ensemble prediction model, and an Internet of Things-based task orchestration approach. The proposed method aims to minimize damage caused by mountain fires and provide timely information to safety authorities for efficient mountain fire safety management. Evaluation results show that the proposed fire safety mechanism is effective in enhancing mountain fire safety.

SUSTAINABILITY (2021)

Article Computer Science, Information Systems

The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial

Mohamed Amine Ferrag et al.

Summary: This article presents research challenges and a tutorial on the performance evaluation of blockchain-based security and privacy systems for IoT. The article reviews existing surveys, blockchain applications in IoT, consensus algorithms, security analysis techniques, performance metrics, and open challenges. The study provides insights into building and evaluating blockchain-based security and privacy systems and highlights future research opportunities.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Mathematics

Classification of Initial Stages of Alzheimer's Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches

Ahsan Bin Tufail et al.

Summary: Alzheimer's disease (AD) is a major health concern for the elderly population globally, characterized by amyloid plaques, neurofibrillary tangles, and neuronal loss. Neuroimaging techniques like PET and MRI are commonly used in clinical settings to monitor brain changes in AD. Deep learning techniques and image filtering methods play crucial roles in improving the effectiveness of neuroimaging data.

MATHEMATICS (2021)

Article Computer Science, Information Systems

LAAC: Lightweight Lattice-Based Authentication and Access Control Protocol for E-Health Systems in IoT Environments

Daya Sagar Gupta et al.

Summary: The Internet of Things has been crucial in the design of e-health systems, allowing for remote examination of a patient's health condition. However, security and privacy challenges in IoT-enabled e-health systems need to be addressed, particularly in terms of authentication, data confidentiality, and access control. A lattice-based authentication and access control (LAAC) protocol has been proposed to mitigate quantum attacks, with proven robustness based on the inhomogeneous small integer solution problem. Performance evaluation shows the feasibility of implementing LAAC in IoT devices.

IEEE SYSTEMS JOURNAL (2021)

Article Health Care Sciences & Services

Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

Ijaz Ahmad et al.

Summary: This article focuses on the improved K-nearest neighbor (MK-NN) algorithm for electronic medical care and experimental results show that the algorithm is the best model in terms of robustness, accuracy, and computational time.

JOURNAL OF HEALTHCARE ENGINEERING (2021)

Review Computer Science, Information Systems

IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare-A Review

Taher M. Ghazal et al.

Summary: Smart city is a concept that aims to make cities more efficient, technologically advanced, greener and socially inclusive. The focus is on using digital technologies to address challenges faced by urban society, with particular potential in the healthcare sector.

FUTURE INTERNET (2021)

Article Computer Science, Information Systems

A decentralized lightweight blockchain-based authentication mechanism for IoT systems

Umair Khalid et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)

Review Computer Science, Information Systems

Applications of Artificial Intelligence and Machine learning in smart cities

Zaib Ullah et al.

COMPUTER COMMUNICATIONS (2020)

Article Computer Science, Theory & Methods

Securing internet of medical things systems: Limitations, issues and recommendations

Jean-Paul A. Yaacoub et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Article Engineering, Electrical & Electronic

Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

Solmaz Niknam et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Computer Science, Information Systems

Optimal Policy-Making for Municipal Waste Management Based on Predictive Model Optimization

Shabir Ahmad et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

A Middleware for Polyglot Persistence and Data Portability of Big Data PaaS Cloud Applications

Kiranbir Kaur et al.

CMC-COMPUTERS MATERIALS & CONTINUA (2020)

Review Computer Science, Hardware & Architecture

Authentication Techniques and Methodologies used in Wireless Body Area Networks

Munir Hussain et al.

JOURNAL OF SYSTEMS ARCHITECTURE (2019)

Article Computer Science, Artificial Intelligence

Semi-supervised learning based distributed attack detection framework for IoT

Shailendra Rathore et al.

APPLIED SOFT COMPUTING (2018)

Article Health Care Sciences & Services

Root Exploit Detection and Features Optimization: Mobile Device and Blockchain Based Medical Data Management

Ahmad Firdaus et al.

JOURNAL OF MEDICAL SYSTEMS (2018)

Review Geriatrics & Gerontology

Cybersecurity in healthcare: A narrative review of trends, threats and ways forward

Lynne Coventry et al.

MATURITAS (2018)

Article Computer Science, Information Systems

Continuous Patient Monitoring With a Patient Centric Agent: A Block Architecture

Md Ashraf Uddin et al.

IEEE ACCESS (2018)

Article Economics

Opportunities for Use of Blockchain Technology in Medicine

Igor Radanovic et al.

APPLIED HEALTH ECONOMICS AND HEALTH POLICY (2018)

Article Medical Informatics

A study on medical Internet of Things and Big Data in personalized healthcare system

V. Jagadeeswari et al.

HEALTH INFORMATION SCIENCE AND SYSTEMS (2018)

Article Engineering, Biomedical

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters

Marco A. F. Pimentel et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)

Review Computer Science, Theory & Methods

Interoperability and Portability Approaches in Inter-Connected Clouds: A Review

Kiranbir Kaur et al.

ACM COMPUTING SURVEYS (2017)

Review Cardiac & Cardiovascular Systems

Brain-Heart Interaction Cardiac Complications After Stroke

Zhili Chen et al.

CIRCULATION RESEARCH (2017)

Article Urology & Nephrology

Medical big data: promise and challenges

Choong Ho Lee et al.

KIDNEY RESEARCH AND CLINICAL PRACTICE (2017)

Article Cardiac & Cardiovascular Systems

Safety of Implantable Pacemakers and Cardioverter Defibrillators in the Magnetic Field of a Novel Remote Magnetic Navigation System

Clemens Jilek et al.

JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY (2010)

Article Computer Science, Artificial Intelligence

Random forests for multiclass classification: Random MultiNomial Logit

Anita Prinzie et al.

EXPERT SYSTEMS WITH APPLICATIONS (2008)

Review Psychology, Biological

Brain electrocortical activity during and after exercise: A quantitative synthesis

JB Crabbe et al.

PSYCHOPHYSIOLOGY (2004)

Article Computer Science, Artificial Intelligence

From single-trial EEG to brain area dynamics

A Delorme et al.

NEUROCOMPUTING (2002)

Article Medicine, General & Internal

Botulinum toxin a for axillary hyperhidrosis (excessive sweating).

M Heckmann et al.

NEW ENGLAND JOURNAL OF MEDICINE (2001)