Related Experiment Video
Updated: Nov 27, 2025
07:56
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
Published on: September 5, 2019
8.8K
Strong Secrecy on a Class of Degraded Broadcast Channels Using Polar Codes
Jaume Del Olmo Alos1, Javier Rodríguez Fonollosa1
1Departament de Teoria del Senyal i Communications (TSC), Universitat Politècnica de Catalunya, Barcelona 08034, Spain.
Entropy (Basel, Switzerland)
|December 3, 2020
Summary
New polar coding schemes achieve optimal secrecy for broadcast channels, ensuring reliable communication for intended users while protecting information from eavesdroppers through layered decoding or secrecy strategies.
Area of Science:
- Information Theory
- Coding Theory
- Cybersecurity
Background:
- Broadcast channels present challenges in securely transmitting information to multiple users while preventing eavesdropping.
- Polar codes offer a theoretical solution for achieving channel capacity, but their application to secure broadcast scenarios requires tailored approaches.
Purpose of the Study:
- To propose and analyze polar coding schemes for memoryless degraded broadcast channels that achieve asymptotic secrecy capacity.
- To address varying reliability and secrecy requirements using layered decoding and layered secrecy structures.
Main Methods:
- Development of polar coding schemes tailored for degraded broadcast channels.
- Implementation of layered decoding and layered secrecy frameworks.
- Theoretical analysis of asymptotic secrecy-capacity achievement.
- Performance evaluation through simulations.
Main Results:
- Proposed polar coding schemes achieve asymptotic secrecy capacity for the specified channel model.
- Layered decoding enhances reliability for receivers with better channel quality.
- Layered secrecy effectively masks information from eavesdroppers with poorer channel quality.
Conclusions:
- The proposed polar coding schemes provide a viable method for secure communication over degraded broadcast channels.
- Layered structures offer flexible trade-offs between reliability and secrecy.
- Practical constructions and simulations validate the theoretical performance of the schemes.
Related Concept Videos
01:01Group Polarization
37.9K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
37.9K
01:04¹³C NMR: ¹H–¹³C Decoupling
1.4K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.4K
01:20¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)
1.4K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.4K
01:09Censoring Survival Data
385
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
385
01:30Classification of Signals
1.2K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.2K
00:59Propagation of Uncertainty from Random Error
1.5K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.5K