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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Signal Flow Graphs01:18

Signal Flow Graphs

284
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
284
Block Diagram Reduction01:22

Block Diagram Reduction

264
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
264
Phylogenetic Trees03:21

Phylogenetic Trees

45.8K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
45.8K
Detection of Black Holes01:10

Detection of Black Holes

2.2K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.2K

You might also read

Related Articles

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

Sort by
Same author

Secure privacy-preserving record linkage system from re-identification attack.

PloS one·2025
Same author

Online Service Function Chain Planning for Satellite-Ground Integrated Networks to Minimize End-to-End (E2E) Delay.

Sensors (Basel, Switzerland)·2024
Same author

Searchable Blockchain-Based Healthcare Information Exchange System to Enhance Privacy Preserving and Data Usability.

Sensors (Basel, Switzerland)·2024
Same author

Distributed Detour Routing Scheme for Link Failure with Minimized Overhead in LEO Satellite Networks.

Sensors (Basel, Switzerland)·2023
Same author

CeRA-eSP: Code-Expanded Random Access to Enhance Success Probability of Massive MTC.

Sensors (Basel, Switzerland)·2022
Same author

Privacy Preservation in Patient Information Exchange Systems Based on Blockchain: System Design Study.

Journal of medical Internet research·2022

Related Experiment Video

Updated: Aug 15, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

483

Graph Learning-Based Blockchain Phishing Account Detection with a Heterogeneous Transaction Graph.

Jaehyeon Kim1, Sejong Lee2, Yushin Kim2

  • 1Department of Applied Artificial Intelligence, Major in Bio-Artificial Intelligence, Hanyang University, Ansan 15588, Republic of Korea.

Sensors (Basel, Switzerland)
|January 8, 2023
PubMed
Summary

Detecting blockchain cybercriminal accounts is crucial. A new heterogeneous graph structure, ATGraph, improves detection accuracy by efficiently representing transaction data, outperforming traditional methods.

Keywords:
blockchaincryptocurrencygraph learningheterogeneous graphphishing detection

More Related Videos

Glycan Node Analysis: A Bottom-up Approach to Glycomics
11:36

Glycan Node Analysis: A Bottom-up Approach to Glycomics

Published on: May 22, 2016

10.5K
Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K

Related Experiment Videos

Last Updated: Aug 15, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

483
Glycan Node Analysis: A Bottom-up Approach to Glycomics
11:36

Glycan Node Analysis: A Bottom-up Approach to Glycomics

Published on: May 22, 2016

10.5K
Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K

Area of Science:

  • Cybersecurity
  • Blockchain Technology
  • Graph Theory

Background:

  • Increasing cybercrimes on blockchain networks threaten user assets and network stability.
  • Existing detection methods use homogeneous transaction graphs, which are inefficient for multi-edge data and ignore network heterogeneity.

Purpose of the Study:

  • To propose a novel heterogeneous graph structure, ATGraph, for more efficient and accurate detection of blockchain cybercriminal accounts.
  • To evaluate the performance of ATGraph against traditional homogeneous graph structures in detecting cybercriminal activities.

Main Methods:

  • Representing blockchain transaction records as a novel heterogeneous graph structure called an account-transaction graph (ATGraph).
  • Transforming multi-edges into single edges by treating transactions as nodes for improved graph learning efficiency.
  • Comparing the detection performance of ATGraph with homogeneous transaction graphs using various graph learning algorithms.

Main Results:

  • ATGraph enables more efficient graph learning by eliminating multi-edges.
  • The proposed ATGraph structure demonstrated superior performance in detecting cybercriminal accounts compared to homogeneous graphs.
  • Detection performance using ATGraph as input improved by up to 0.2 AUROC (Area Under the Receiver Operating Characteristic curve) over homogeneous graphs.

Conclusions:

  • ATGraph offers a more effective approach for detecting blockchain cybercriminal accounts.
  • The heterogeneous graph structure addresses limitations of homogeneous graphs in analyzing complex blockchain transaction data.
  • This advancement is vital for protecting user assets and ensuring the reliability of blockchain networks.