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

Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

334
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...
334
SDS-PAGE01:27

SDS-PAGE

27.3K
Gel electrophoresis is a method that separates biological macromolecules like nucleic acids or proteins by forcing them to pass through a gel matrix under an electric field.
A variation of gel electrophoresis, termed  polyacrylamide gel electrophoresis (PAGE), is commonly used for separating proteins according to their molecular size by passing them through a polyacrylamide gel. Because of the varying charges associated with amino acid side chains, PAGE can be used to separate intact...
27.3K

You might also read

Related Articles

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

Sort by
Same author

Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation.

JMIR AI·2025
Same author

CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation.

Interdisciplinary sciences, computational life sciences·2025
Same author

An Effective DNA-Based File Storage System for Practical Archiving and Retrieval of Medical MRI Data.

Small methods·2024
Same author

Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study.

JMIR research protocols·2024
Same author

ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis.

PeerJ. Computer science·2022
Same author

Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis.

International journal of environmental research and public health·2022
Same journal

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.

PeerJ. Computer science·2026
Same journal

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization.

PeerJ. Computer science·2026
Same journal

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same journal

An anomaly detection model for multivariate time series with anomaly perception.

PeerJ. Computer science·2026
Same journal

Retraction: A wormhole attack detection method for tactical wireless sensor networks.

PeerJ. Computer science·2026
Same journal

Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators.

PeerJ. Computer science·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

468

SH-SDS: a new static-dynamic strategy for substation host security detection.

Yang Diao1, Hui Chen2, Wei Liu1

  • 1Shaoguan Power Supply Bureau, Guangdong Power Grid Co., Ltd., Shaoguan, Guangdong, China.

Peerj. Computer Science
|December 9, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel static-dynamic strategy for host security detection in intelligent substations. The developed system prototype effectively enhances cybersecurity for power grids against cyberattacks.

Keywords:
CyberattackPattern matching algorithmSecurity detection prototypeSmart substationStatic-dynamic strategy

More Related Videos

Analysis of Group IV Viral SSHHPS Using In Vitro and In Silico Methods
10:40

Analysis of Group IV Viral SSHHPS Using In Vitro and In Silico Methods

Published on: December 21, 2019

25.9K
Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

8.9K

Related Experiment Videos

Last Updated: Jun 5, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

468
Analysis of Group IV Viral SSHHPS Using In Vitro and In Silico Methods
10:40

Analysis of Group IV Viral SSHHPS Using In Vitro and In Silico Methods

Published on: December 21, 2019

25.9K
Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

8.9K

Area of Science:

  • Electrical Engineering
  • Cybersecurity
  • Computer Science

Background:

  • Intelligent substations are crucial for modern power grids, enhancing efficiency and consumer services.
  • Digital transformation increases the vulnerability of critical power infrastructure to cyberattacks.
  • Existing host security detection methods may lack efficiency and objectivity.

Purpose of the Study:

  • To propose and evaluate a new static-dynamic strategy for host security detection in substations.
  • To develop a system prototype for practical implementation and assessment of the proposed strategy.
  • To enhance the cybersecurity posture of intelligent substations against evolving threats.

Main Methods:

  • Combined classified protection for cybersecurity standards to reduce manual feature selection subjectivity.
  • Developed a requirement generation algorithm to build a network security detection standard library for substation hosts.
  • Implemented a strategy generation algorithm to match host detection projects and create security detection strategies.

Main Results:

  • A system prototype for static-dynamic host security detection was successfully implemented.
  • The prototype demonstrated efficiency and effectiveness in practical substation host security detection scenarios.
  • Experimental results indicate high-speed operation and satisfactory detection performance.

Conclusions:

  • The proposed static-dynamic strategy offers a practical and effective solution for substation host security.
  • The developed system provides a valuable tool for enhancing the cybersecurity of intelligent substations.
  • The approach shows promise for high-speed, accurate security detection in critical power infrastructure.