Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Level-crossing processing and deep convolutional neural network for arrhythmia classification in telehealth services.

Physical and engineering sciences in medicine·2025
Same author

Quantum inspired qubit qutrit neural networks for real time financial forecasting.

Scientific reports·2025
Same author

A novel ensemble ARIMA-LSTM approach for evaluating COVID-19 cases and future outbreak preparedness.

Health care science·2024
Same author

Exploring Huntington's Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review.

Diagnostics (Basel, Switzerland)·2023
Same author

ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks.

PloS one·2023
Same author

Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems.

Sensors (Basel, Switzerland)·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 30, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

921

A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile

Chaitanya Gupta1, Ishita Johri2, Kathiravan Srinivasan1

  • 1School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India.

Sensors (Basel, Switzerland)
|March 10, 2022
PubMed
Summary
This summary is machine-generated.

Mobile networks generate vast data, increasing security risks. Artificial intelligence (AI) offers solutions to protect data integrity and authenticity in complex wireless environments.

Keywords:
artificial intelligencecyber securitycyber-attacksdeep learninginformation securitymachine learningnetworkthreatsvulnerabilities

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.8K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K

Related Experiment Videos

Last Updated: Sep 30, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

921
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.8K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K

Area of Science:

  • Computer Science
  • Cybersecurity
  • Wireless Communication

Background:

  • Advancements in wireless communication and electronic devices generate massive data volumes.
  • Increasingly complex mobile network topologies heighten the risk of security breaches.
  • Security concerns impede the adoption of smart mobile applications and services.

Purpose of the Study:

  • To examine current challenges in mobile network security.
  • To explore the role of artificial intelligence (AI) in enhancing mobile data protection.
  • To discuss machine learning (ML) and deep learning (DL) techniques for secure mobile environments.

Main Methods:

  • Review of existing mobile network security threats.
  • Analysis of AI-based security models for data secrecy, integrity, and authenticity.
  • Discussion of various machine learning (ML) and deep learning (DL) techniques.

Main Results:

  • AI-based security models are crucial for ensuring data protection in complex networks.
  • Identified open security challenges include unauthorized network scanning and fraudulent links.
  • ML and DL techniques offer potential solutions for various cybersecurity threats.

Conclusions:

  • Developing novel approaches is essential for high electronic data security in mobile networks.
  • The potential for improving mobile network security is extensive.
  • AI is a key enabler for addressing evolving cybersecurity challenges.