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

Network Function of a Circuit01:25

Network Function of a Circuit

253
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
253
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

41.8K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
41.8K
Mutual Inductance01:24

Mutual Inductance

2.2K
Inductance is the property of a device that tells us how effectively it induces an emf in another device. In other words, it is a physical quantity that expresses the effectiveness of a given device.
When two circuits carrying time-varying currents are close to one another, the magnetic flux through each circuit varies because of the changing current in the other circuit. Consequently, an emf is induced in each circuit by the changing current in the other. Therefore, this type of emf is called...
2.2K
Network Covalent Solids02:18

Network Covalent Solids

13.3K
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...
13.3K
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

143
Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
143
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

1.6K
The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks.

Entropy (Basel, Switzerland)·2025
Same author

An MLWE-Based Cut-and-Choose Oblivious Transfer Protocol.

Entropy (Basel, Switzerland)·2024
Same author

Multi-strategy modified sparrow search algorithm for hyperparameter optimization in arbitrage prediction models.

PloS one·2024
Same author

Privacy-Preserving Decision-Tree Evaluation with Low Complexity for Communication.

Sensors (Basel, Switzerland)·2023
Same author

Efficient Lattice-Based Ring Signature Scheme without Trapdoors for Machine Learning.

Computational intelligence and neuroscience·2022
Same author

Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction.

Computational intelligence and neuroscience·2022
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

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

Related Experiment Video

Updated: May 25, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

474

Ethernet Passive Mutual Authentication Scheme on Quantum Networks.

Jianuo Tian1, Panke Qin2, Zongqu Zhao2

  • 1Jiaozuo Technician College, Jiaozuo 454000, China.

Entropy (Basel, Switzerland)
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a lattice-based mutual authentication scheme for Ethernet Passive Optical Networks (EPONs), enhancing security against various cyberattacks. The proposed method ensures efficient and secure communication, paving the way for quantum-resistant networks.

Keywords:
approximate smooth projection hash functionethernet passive optical network (EPON)ideal latticesmutual authenticationquantum networksquantum securityring learning with errors (RLWE)security performance evaluation

More Related Videos

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.4K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

Related Experiment Videos

Last Updated: May 25, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

474
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.4K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

Area of Science:

  • Computer Science
  • Network Security
  • Cryptography

Background:

  • Growing demand for secure and efficient communication networks necessitates robust authentication in EPONs.
  • Traditional authentication methods face challenges in advanced network environments.
  • The integration of Software-Defined Networking (SDN) offers new possibilities for network management and security.

Purpose of the Study:

  • To propose a novel, secure, and efficient mutual authentication scheme for EPONs.
  • To leverage ideal lattice-based cryptography for enhanced security against sophisticated attacks.
  • To explore the convergence of quantum network protocols with EPONs for future-proof security.

Main Methods:

  • Developed a public-key cryptosystem based on the Ring Learning With Errors (RLWE) problem.
  • Implemented mutual authentication involving Optical Network Units (ONUs), Optical Line Terminals (OLTs), and an SDN controller.
  • Utilized approximate smooth projection hash functions for secure key exchange and verification.

Main Results:

  • The proposed scheme provides robust security against man-in-the-middle, impersonation, replay, and known key secrecy attacks.
  • Simulations show minimal delay and high registration success rates compared to traditional methods.
  • Demonstrated the potential of integrating quantum network protocols for enhanced security and man-in-the-middle attack prevention.

Conclusions:

  • The lattice-based mutual authentication scheme offers a secure and efficient solution for EPONs.
  • The integration with quantum technologies presents a promising direction for future communication security and quantum-resistant protocols.
  • The proposed approach addresses current security needs while anticipating future quantum threats.