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

Bus Impedance Matrix01:24

Bus Impedance Matrix

153
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
153
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

134
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...
134
Classification of Systems-I01:26

Classification of Systems-I

236
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
236
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

139
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...
139
Classification of Systems-II01:31

Classification of Systems-II

192
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
192
Feedback control systems01:26

Feedback control systems

356
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
356

You might also read

Related Articles

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

Sort by
Same author

A Multiple Rényi Entropy Based Intrusion Detection System for Connected Vehicles.

Entropy (Basel, Switzerland)·2020
Same author

Low Complexity Estimation Method of Rényi Entropy for Ergodic Sources.

Entropy (Basel, Switzerland)·2020
Same author

Attack Algorithm for a Keystore-Based Secret Key Generation Method.

Entropy (Basel, Switzerland)·2020
See all related articles

Related Experiment Video

Updated: Aug 2, 2025

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

Intrusion Detection System CAN-Bus In-Vehicle Networks Based on the Statistical Characteristics of Attacks.

Junaid Khan1, Dae-Woon Lim1, Young-Sik Kim2

  • 1Department of Information and Communication Engineering, Dongguk University, Seoul 04620, Republic of Korea.

Sensors (Basel, Switzerland)
|April 13, 2023
PubMed
Summary

This study introduces a new intrusion detection system (IDS) for Controller Area Network (CAN) to enhance vehicle security. The IDS effectively identifies network anomalies and malicious attacks with high precision.

Keywords:
DoS attackanomaly detectionautomotive IDScontroller area networkscyber securityfuzzy attackin-vehicle networksintrusion detection

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

5.7K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K

Related Experiment Videos

Last Updated: Aug 2, 2025

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
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

5.7K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K

Area of Science:

  • Cybersecurity
  • Automotive Engineering
  • Network Security

Background:

  • Controller Area Network (CAN) is vulnerable to attacks due to its broadcast nature without address validation.
  • In-vehicle networks face significant risks from various cyberattack scenarios.
  • Existing security measures are insufficient to address the evolving threat landscape in automotive networks.

Purpose of the Study:

  • To propose a novel intrusion detection system (IDS) specifically designed for Controller Area Network (CAN) environments.
  • To enhance the precision and efficiency of detecting in-vehicle network anomalies and cyberattacks.
  • To develop a robust system capable of identifying malicious patterns and behaviors within CAN communications.

Main Methods:

  • Utilized statistical characteristics of attacks to identify inherent intrusion patterns.
  • Employed two real-world attack scenarios from publicly available datasets for testing.
  • Implemented brute-force optimization to calculate optimal threshold values for various window sizes, minimizing total error.
  • Established reference values of normality using legitimate data frames for accurate intrusion detection.

Main Results:

  • The proposed IDS efficiently detected fuzzy, merge, and denial-of-service (DoS) attacks with low false-positive rates.
  • Demonstrated that the total error decreases with an increasing attack rate across different window sizes.
  • Achieved minimized misclassification rates, indicating superior performance for in-vehicle networks.

Conclusions:

  • The novel IDS effectively identifies anomalies and malicious activities in CAN networks.
  • The system's reliance on statistical properties and optimized thresholds enhances detection efficiency and accuracy.
  • The proposed intrusion detection system is well-suited for securing modern in-vehicle networks against cyber threats.