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

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

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...

Maximum Power Transfer

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...

Neuronal Communication

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...

Short-distance Transport of Resources

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.

You might also read

Related Articles

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

Sort by

Same author

Retraction Note: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.

Journal of ambient intelligence and humanized computing·2026

Same author

Multifunctional efficacy of pyrolignous acid as an antioxidant and biostimulant for enhanced wheat growth.

3 Biotech·2026

Same author

Chondroitin sulfate and chondroitinase ABC: emerging roles in drug delivery and wound healing applications.

Journal of biomaterials science. Polymer edition·2026

Same author

Catalytic carboxylation of sp<sup>2</sup> and sp<sup>3</sup> C-H bonds with CO<sub>2</sub> under atmospheric pressure conditions: an integrated experimental and theoretical study.

Materials horizons·2026

Same author

Engineering cardiac regeneration using stem cells: Cellular sources, differentiation signatures, targeted delivery, and functional recovery.

Regenerative therapy·2026

Same author

Optimization and evaluation of gastro-expandable film of Eudragit S100 and ethylcellulose by using the design of experiment.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: Sep 30, 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

Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks.

Pooja Rani¹, Kavita^2,3, Sahil Verma^2,4

¹School of Computer Science and Engineering, Rayat Bahra University, Mohali 140413, India.

Sensors (Basel, Switzerland)

|March 11, 2022

Summary

This study introduces a novel AI-driven security enhancement for Mobile Ad-Hoc Networks (MANETs) to combat Black Hole Attacks (BHA). The new method effectively detects and mitigates BHA threats, improving network performance.

Keywords:

AODV Artificial Bee Colony algorithm Black Hole Attack (BHA)MANET artificial neural network

More Related Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

Related Experiment Videos

Last Updated: Sep 30, 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

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

Area of Science:

Computer Science
Artificial Intelligence
Network Security

Background:

Mobile Ad-Hoc Networks (MANETs) are vulnerable to Black Hole Attacks (BHA), where malicious nodes disrupt data transmission and degrade network performance.
Existing security measures require enhancement to effectively identify and neutralize BHA threats in dynamic MANET environments.

Purpose of the Study:

To propose a novel, AI-based security framework for MANET-based IoT networks to detect and mitigate Black Hole Attacks.
To enhance the Ad-hoc On-Demand Distance Vector (AODV) routing protocol with advanced AI techniques for improved network security and performance.

Main Methods:

A hybrid AI model combining Artificial Bee Colony (ABC), Artificial Neural Network (ANN), and Support Vector Machine (SVM) is developed.
The Artificial Bee Colony (ABC) algorithm optimizes routing, while the combination of Artificial Neural Network (ANN) and Support Vector Machine (SVM) identifies malicious nodes.
The model is trained using ANN with data selected by the ABC fitness function and further processed by SVM to classify nodes as normal or attackers.

Main Results:

Simulations in MATLAB demonstrate significant improvements in Packet Delivery Ratio (PDR), throughput, and reduced delay compared to existing methods.
The proposed SVM with ANN approach effectively identifies Black Hole Attack (BHA) perpetrators within the MANET.
Comparative analysis against Decision Tree and Random Forest algorithms validates the superior efficiency of the proposed security model.

Conclusions:

The integration of SVM with ANN offers a robust and effective solution for detecting Black Hole Attacks in MANET-based IoT networks.
The proposed AI-driven security enhancement improves overall network performance metrics, making MANETs more secure and reliable.
This research contributes a valuable advancement in securing wireless ad-hoc networks against sophisticated cyber threats.