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

Decision Making01:20

Decision Making

920
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
920
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.8K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Structures of Solids02:22

Structures of Solids

17.5K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
17.5K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.1K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

36.9K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
36.9K

You might also read

Related Articles

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

Sort by
Same author

Nonprecious Core-Shell Catalysts for Durable High-Performance Water Electrolysis.

Journal of the American Chemical Society·2026
Same author

Controlling thermoreversibility and hole conductivity in thermoresponsive ionic biogels using phase morphology for neurohaptics.

Science advances·2026
Same author

Light-induced giant random telegraph noise in CuScP<sub>2</sub>S<sub>6</sub>/MoS<sub>2</sub> heterostructures and their use in noise resilience image inference.

Nature communications·2026
Same author

StaLAENet: A stacked LSTM-nested deep-autoencoder network for identification of antimicrobial resistance of nosocomial pathogens.

Journal of biosciences·2026
Same author

Exploiting the Photoresponse in LiInP<sub>2</sub>Se<sub>6</sub> for Image Processing.

Nano letters·2026
Same author

Privacy-preserving verification of preprocessing in federated learning for genomic data.

JAMIA open·2026
Same journal

Contemporaneous Update and Enforcement of ABAC Policies.

Proceedings of the ... ACM symposium on access control models and technologies. ACM Symposium on Access Control Models and Technologies·2022
Same journal

Poster: Using Gini Impurity to Mine Attribute-based Access Control Policies with Environment Attributes.

Proceedings of the ... ACM symposium on access control models and technologies. ACM Symposium on Access Control Models and Technologies·2019
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

Efficient Techniques for Comprehensive Sampling of Accessible Tissues in Adult Xenopus
08:36

Efficient Techniques for Comprehensive Sampling of Accessible Tissues in Adult Xenopus

Published on: June 10, 2025

722

PolTree: A Data Structure for Making Efficient Access Decisions in ABAC.

Ronit Nath1, Saptarshi Das1, Shamik Sural1

  • 1IIT Kharagpur, India.

Proceedings of the ... ACM Symposium on Access Control Models and Technologies. ACM Symposium on Access Control Models and Technologies
|July 27, 2019
PubMed
Summary
This summary is machine-generated.

Attribute-Based Access Control (ABAC) policies are efficiently managed using PolTrees, a novel tree data structure. This approach significantly enhances access control performance and scalability in ABAC systems.

Keywords:
ABACAccess DecisionAttribute-Value PairPolicy Tree

More Related Videos

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.8K
Neutron Crystallography Data Collection and Processing for Modelling Hydrogen Atoms in Protein Structures
10:10

Neutron Crystallography Data Collection and Processing for Modelling Hydrogen Atoms in Protein Structures

Published on: December 1, 2020

5.6K

Related Experiment Videos

Last Updated: Jan 21, 2026

Efficient Techniques for Comprehensive Sampling of Accessible Tissues in Adult Xenopus
08:36

Efficient Techniques for Comprehensive Sampling of Accessible Tissues in Adult Xenopus

Published on: June 10, 2025

722
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.8K
Neutron Crystallography Data Collection and Processing for Modelling Hydrogen Atoms in Protein Structures
10:10

Neutron Crystallography Data Collection and Processing for Modelling Hydrogen Atoms in Protein Structures

Published on: December 1, 2020

5.6K

Area of Science:

  • Computer Science
  • Information Security

Background:

  • Attribute-Based Access Control (ABAC) systems rely on policies to manage user access to objects.
  • Efficient policy evaluation is crucial for real-time decision-making in ABAC.

Purpose of the Study:

  • To address the scalability limitations of sequential rule evaluation in ABAC.
  • To introduce a novel tree data structure for representing and evaluating ABAC policies.

Main Methods:

  • Introduction of two tree data structure variants: B-PolTree (binary) and N-PolTree (n-ary).
  • B-PolTree makes decisions based on attribute-value pair satisfaction.
  • N-PolTree branches based on the number of possible attribute values.

Main Results:

  • PolTrees demonstrate improved scalability compared to sequential evaluation.
  • Experimental evaluations confirm the effectiveness of both B-PolTree and N-PolTree variants.
  • The proposed approach efficiently handles large ABAC systems and frequent access requests.

Conclusions:

  • PolTrees offer a scalable and effective solution for ABAC policy representation and evaluation.
  • This novel data structure addresses a critical gap in the practical deployment of ABAC systems.
  • The findings pave the way for more efficient and performant access control mechanisms.