Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Healthcare Agencies II

Healthcare Agencies II

There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...

Healthcare Agencies I

Healthcare Agencies I

Healthcare agencies provide healthcare services to people. In the United States, voluntary agencies are often non-profit centers sponsored by donations, grants, or fundraisers. One such organization is Meals on Wheels, which provides meals to the elderly and homebound. The American Heart Association and the American Lung Association are other non-profit community organizations. Doctors and nurses are frequently active members of these organizations, which offer health checks and educational...

Integrated Healthcare System

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

Methods Of Healthcare Delivery System

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...

Secondary Healthcare System

Secondary Healthcare System

Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

An intelligent cloud-based battery management framework integrating GRU state-of-health estimation and double DQN charging optimisation.

Scientific reports·2026

Same author

Privacy-preserving federated credit risk models: evaluating differential privacy and homomorphic encryption techniques.

Scientific reports·2026

Same author

Enhanced Prediction of Cardiac Risk in Neonates Using Calibrated Ensemble Learning Approaches.

Pediatric cardiology·2025

Same author

Predicting inmate suicidal behavior with an interpretable ensemble machine learning approach in smart prisons.

PeerJ. Computer science·2024

Same author

Exploring the Role of 6G Technology in Enhancing Quality of Experience for m-Health Multimedia Applications: A Comprehensive Survey.

Sensors (Basel, Switzerland)·2023

Same author

BER Reduction and Capacity Enhancement with Novel Guard Sequence Selection for Multi-Carrier Communication.

Sensors (Basel, Switzerland)·2023

Search research articles

Related Experiment Video

Updated: Dec 14, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Quantum Diffie-Hellman Extended to Dynamic Quantum Group Key Agreement for e-Healthcare Multi-Agent Systems in Smart

Vankamamidi S Naresh¹, Moustafa M Nasralla², Sivaranjani Reddi³

¹Department of Computer Science and Engineering, Sri Vasavi Engineering College, Tadepalligudeam 534101, India.

Sensors (Basel, Switzerland)

|July 19, 2020

Summary

A new quantum group key agreement technique enhances e-healthcare security. This system uses quantum Diffie-Hellman for secure data sharing, offering robust protection against future quantum attacks.

Keywords:

multi-agent system participant attacks quantum group key quantum information quantum summation quantum teleportation sensor

More Related Videos

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

Related Experiment Videos

Last Updated: Dec 14, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

Area of Science:

Computer Science
Information Security
Quantum Computing

Background:

Multi-Agent Systems (MAS) are crucial for advancing e-healthcare and improving citizen quality of life.
Securely sharing sensitive health data requires robust Group Key Agreement (GKA) mechanisms.
Classical GKA cryptosystems rely on computational assumptions vulnerable to quantum computing.

Purpose of the Study:

To propose a secure healthcare system architecture for cities using MAS.
To introduce a Quantum Group Key Agreement (QGKA) technique for enhanced data security in e-healthcare.
To develop a dynamic QGKA protocol for flexible group management.

Main Methods:

A three-layered system architecture is proposed for urban healthcare zones.
A Multi-Agent System (MAS) is integrated into the architecture.
A Quantum Group Key Agreement (QGKA) technique based on Quantum Diffie-Hellman (QDH) is developed, including a dynamic protocol (DQGKA).

Main Results:

The proposed QGKA protocol establishes secure shared keys using a XOR-operation.
The Dynamic QGKA (DQGKA) protocol supports member join and leave operations.
Performance analysis shows satisfactory Qubit Efficiency (QE), Unitary Operation (UO), Unitary Operation Efficiency (UOE), Key Consistency Check (KCC), and Security Against Participants Attack (SAP).

Conclusions:

The proposed QGKA technique provides unconditional security based on QDH principles.
The e-healthcare MAS architecture is robust against internal and external attacks, including future quantum-based threats.
This approach ensures the confidentiality and integrity of sensitive health information in smart city healthcare systems.