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

Distribution and Dispersion00:54

Distribution and Dispersion

23.2K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
23.2K
Ethical Standards I01:25

Ethical Standards I

1.2K
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
1.2K
Network Covalent Solids02:18

Network Covalent Solids

15.3K
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...
15.3K
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

6.5K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
6.5K
Distribution of Cytoplasmic Content02:33

Distribution of Cytoplasmic Content

4.3K
Cytokinesis segregates a cell’s chromosomes and organelles into its daughter cells. Organelles divide and grow prior to cell division but cannot be synthesized de novo; therefore, cells must receive at least one copy of each organelle to survive. Currently, many of the details of how the organelles are distributed are not yet fully elucidated.
Distribution of cytoplasmic determinants
The cytoplasm contains various organelles, as well as salts, proteins, and water. The distribution of...
4.3K
Drug Distribution: Tissue Binding01:21

Drug Distribution: Tissue Binding

3.5K
Upon entering the systemic circulation, drugs can distribute into the interstitial and intracellular fluid of various tissue cells. This distribution is facilitated by the binding of drugs to different cellular components within tissues, which may lead to drug accumulation in specific areas. Drugs bound to tissue components serve as reservoirs that release free drugs back into the system, prolonging the drug's overall action. However, this accumulation can also result in local toxicity.
For...
3.5K

You might also read

Related Articles

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

Sort by
Same author

Secure PUF-Based Authentication Systems.

Sensors (Basel, Switzerland)·2024
Same author

IHIBE: A Hierarchical and Delegated Access Control Mechanism for IoT Environments.

Sensors (Basel, Switzerland)·2024
Same author

Homomorphic Encryption-Based Federated Privacy Preservation for Deep Active Learning.

Entropy (Basel, Switzerland)·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

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

Related Experiment Video

Updated: Oct 30, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.0K

Secure Content Distribution with Access Control Enforcement in Named Data Networking.

Htet Htet Hlaing1, Yuki Funamoto1, Masahiro Mambo2

  • 1Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Japan.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

Future internet architectures like Named Data Networking (NDN) offer in-network caching, but raise privacy concerns. Our efficient and secure content distribution (ES_CD) scheme uses encryption to protect sensitive data in NDN caches.

Keywords:
content confidentialitycontent securityencryption-based access controlnamed data networking (NDN)secure content distribution

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.1K
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

877

Related Experiment Videos

Last Updated: Oct 30, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.0K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.1K
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

877

Area of Science:

  • Computer Science
  • Network Architecture
  • Information Security

Background:

  • Named Data Networking (NDN) is an emerging internet architecture.
  • NDN's in-network caching enhances content distribution but poses privacy risks.
  • Existing solutions require efficient schemes for secure content access in NDN.

Purpose of the Study:

  • To propose an efficient and secure content distribution (ES_CD) scheme for NDN.
  • To address content privacy issues arising from in-network caching.
  • To reduce computational overhead and content retrieval time.

Main Methods:

  • Combining symmetric encryption and identity-based proxy re-encryption.
  • Implementing and simulating the ES_CD scheme in a network environment.
  • Analyzing content confidentiality, retrieval time, and computational overhead.

Main Results:

  • Content retrieval time reduced by up to 20% for cached content.
  • Low computational overhead: <19 ms (producer) and <9 ms (consumer) for 2 KB content.
  • ES_CD ensures content confidentiality without a trusted third party.

Conclusions:

  • The proposed ES_CD scheme offers an efficient and secure solution for content distribution in NDN.
  • It effectively protects sensitive content in caches while maintaining performance.
  • ES_CD enables secure, timely access for authorized consumers without constant producer availability.