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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

455
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
455
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

1.8K
There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
1.8K
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

1.4K
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
1.4K
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

2.0K
The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte...
2.0K

You might also read

Related Articles

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

Sort by
Same author

LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis.

Heliyon·2024
Same author

Neutralization Method of Ransomware Detection Technology Using Format Preserving Encryption.

Sensors (Basel, Switzerland)·2023
Same author

Vulnerability Analysis and Security Assessment of Secure Keyboard Software to Prevent PS/2 Interface Keyboard Sniffing.

Sensors (Basel, Switzerland)·2023
Same author

Effective Ransomware Detection Using Entropy Estimation of Files for Cloud Services.

Sensors (Basel, Switzerland)·2023
Same author

Lightweight Software Architecture Evaluation for Industry: A Comprehensive Review.

Sensors (Basel, Switzerland)·2022
Same author

A Certificateless Aggregate Arbitrated Signature Scheme for IoT Environments.

Sensors (Basel, Switzerland)·2020
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: Mar 15, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K

A Hybrid Approach to Universal Intrusion Detection Systems for Automotive Security.

Md Rezanur Islam1, Mahdi Sahlabadi2, Munkhdelgerekh Batzorig2

  • 1Department of Software Convergence, Soonchunhyang University, Asan-si 31538, Republic of Korea.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
Summary
This summary is machine-generated.

A new universal intrusion detection system (IDS) adapts to diverse vehicle data, unlike traditional methods. This hybrid approach effectively detects cyber threats across various car models without customization.

Keywords:
CANIDSIVNPearsonwavelet

More Related Videos

A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

6.3K

Related Experiment Videos

Last Updated: Mar 15, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

6.3K

Area of Science:

  • Cybersecurity
  • Automotive Engineering
  • Machine Learning

Background:

  • In-vehicle network security is critical due to unique vehicle data profiles.
  • Conventional intrusion detection systems (IDS) struggle with data variability from different models, driving styles, and firmware.
  • A universal IDS is needed to address the dynamic nature of automotive data.

Purpose of the Study:

  • To develop a universal intrusion detection system (IDS) applicable to all vehicle types without customization.
  • To create a hybrid IDS combining Pearson correlation and deep learning for enhanced adaptability.
  • To evaluate the performance of the universal IDS against conventional methods.

Main Methods:

  • A hybrid approach combining Pearson correlation with deep learning techniques.
  • Wavelet transformation to convert data into the frequency domain for improved generalizability.
  • Statistical method using independent rule-based systems with Pearson correlation for performance enhancement.

Main Results:

  • The hybrid system demonstrated effective intrusion detection across four distinct vehicle models (Tesla, Sonata, two Kia models).
  • Performance was benchmarked against eight other IDS, including universal and conventional approaches.
  • The developed universal IDS showed superior adaptability to data shifts caused by vehicle platform or firmware updates.

Conclusions:

  • The novel hybrid universal IDS effectively detects intrusions in diverse automotive networks.
  • This approach overcomes the limitations of traditional IDSs by adapting to data distribution shifts.
  • The system offers a robust and customizable solution for in-vehicle network security.