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

Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Network Covalent Solids02:18

Network Covalent Solids

16.3K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.3K
Stages of Infection01:26

Stages of Infection

65.6K
Stages of infection describe what happens to a susceptible host once a pathogen invades the human body. The stages of infection are incubation, prodromal, illness, stage of decline, and convalescence. The incubation stage is the period from exposure to a pathogen until symptoms start. The infected person is unaware of impending illness as the pathogens grow and multiply within the body. The duration may vary depending on the type of infection. The incubation period of measles averages ten to...
65.6K
Stages of Sleep01:22

Stages of Sleep

1.5K
Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
1.5K
Stages of General Anesthesia01:22

Stages of General Anesthesia

1.8K
Various sedation levels offer significant advantages in facilitating procedural interventions for patients undergoing medical or invasive surgical procedures. These levels span from anxiolysis to general anesthesia, providing a spectrum of sedative effects to cater to specific patient needs. Anxiolysis reduces anxiety and is achieved through minimal sedation, enabling patients to remain awake and responsive while feeling more at ease during the procedure. This level can benefit minor...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Green synthesis of cubic CuO nanoparticles for biomedical applications and the photodegradation of methylene blue: RSM-BBD optimization of the reaction parameters and stability studies.

Nanoscale advances·2026
Same author

Advances in conductive supramolecular hydrogels for applications in wearable electronics.

Advances in colloid and interface science·2026
Same author

Synthesis of trifunctional indole-imine-based Ag NPs as a molecular probe for selective colorimetric detection of Cd(ii), photo-catalytic and antimicrobial agent.

RSC advances·2026
Same author

Engineering ofloxacin bioavailability through spray-dried HPMC and xanthan gum-based solid dispersions: enhanced solubility and therapeutic efficacy.

RSC advances·2026
Same author

Phytomediated selenium doped Au/ZnO/Fe₃O₄ nanocomposites for synergistic photocatalytic dye degradation and Mercury(II) detection.

Scientific reports·2025
Same author

Partially amorphous iron-copper-nickel sulfides for robust bifunctional electrocatalysis.

Scientific reports·2025

Related Experiment Video

Updated: Feb 15, 2026

Generation of Shear Adhesion Map Using SynVivo Synthetic Microvascular Networks
09:52

Generation of Shear Adhesion Map Using SynVivo Synthetic Microvascular Networks

Published on: May 25, 2014

9.4K

A two-stage flow-based intrusion detection model for next-generation networks.

Muhammad Fahad Umer1, Muhammad Sher1, Yaxin Bi2

  • 1Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan.

Plos One
|January 13, 2018
PubMed
Summary
This summary is machine-generated.

Next-generation network security is enhanced using a novel two-stage intrusion detection system. This system effectively identifies malicious network traffic using flow records, improving security for converged networks.

More Related Videos

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
10:53

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Published on: January 3, 2017

10.4K
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

1.1K

Related Experiment Videos

Last Updated: Feb 15, 2026

Generation of Shear Adhesion Map Using SynVivo Synthetic Microvascular Networks
09:52

Generation of Shear Adhesion Map Using SynVivo Synthetic Microvascular Networks

Published on: May 25, 2014

9.4K
Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
10:53

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Published on: January 3, 2017

10.4K
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

1.1K

Area of Science:

  • Computer Science
  • Network Security
  • Cybersecurity

Background:

  • Next-generation networks offer advanced services but face significant security challenges due to converged mobile and fixed infrastructures.
  • Traditional intrusion detection systems struggle with next-generation networks due to encrypted payloads, low accuracy, and slow throughput.
  • Network flow records present a viable alternative for detecting malicious activity, independent of network access or user applications.

Purpose of the Study:

  • To propose a novel two-stage, flow-based intrusion detection system (IDS) tailored for next-generation networks.
  • To address the limitations of traditional security methods in converged network environments.
  • To enhance the detection and classification of malicious network traffic.

Main Methods:

  • A two-stage approach was developed for intrusion detection using network flow records.
  • The first stage employs an enhanced unsupervised one-class support vector machine (OCSVM) to distinguish malicious from normal network flows.
  • The second stage utilizes a self-organizing map (SOM) to cluster identified malicious flows into distinct alert groups.

Main Results:

  • The proposed two-stage flow-based IDS demonstrated promising results in detecting malicious network activity.
  • The system effectively separated normal traffic from malicious flows using the enhanced OCSVM.
  • The SOM successfully grouped malicious flows, aiding in the analysis and response to threats.

Conclusions:

  • The developed two-stage flow-based intrusion detection system offers an effective solution for securing next-generation networks.
  • Network flow records provide a robust and adaptable method for identifying threats in complex, converged network environments.
  • The proposed approach shows significant potential for improving cybersecurity in the face of evolving network technologies.