Automatic TRON Address Clustering by MistTrack - Use on-chain analytics to assist in the tracing of illicit funds

TRON Hackathon Hackathon Season 3
1

Project Name: Automatic TRON Address Clustering
Project Track: Web3
Team Name: MistTrack Team
Team Member(s): 3
DevPost URL: https://devpost.com/software/automatic-tron-address-clustering
Project Goal: Our goal this time is to present an advanced system utilizing machine learning and graph computing to analyze attributes of TRON addresses to identify common user addresses, hot wallet addresses, and cold wallet addresses in the TRON ecosystem. At the same time, our analysis will examine each address’s characteristics and relationships to aid in the tracking of hacker addresses and activity, allowing relevant personnel to access additional insight into a wallet.
Project Info:

hackathon
hackathon1600Ă—900 142 KB

In this age of information boom, the SlowMist security team discovered that malicious actors frequently utilize social media, phishing websites, and other methods to steal users’ digital assets. Our address identification mechanism primarily uses graph and machine learning algorithms to evaluate the public transaction history of TRON’s users and label their addresses into 3 separate categories: Hot wallet, Cold wallet, and Common users.

Support Token include: USDT (Contract Address: TR7NHqjeKQxGTCi8q8ZY4pL8otSzgjLj6t), USDC(Contract Address: TEkxiTehnzSmSe2XqrBj4w32RUN966rdz8) and other TRC20 tokens.

This is accomplished by combining the graph algorithm with node mining techniques to execute large-scale mining of transaction attributes of user address transactions. This also has the ability to perform influence analysis, community discovery based on tag propagation algorithm, and transaction path discovery based on graph traversal algorithm.

Project Website:

Project Test Instructions:

  1. Install automatic-tron-address-clustering/install.md at main · slowmist/automatic-tron-address-clustering · GitHub
  2. Running automatic-tron-address-clustering/code.md at main · slowmist/automatic-tron-address-clustering · GitHub

Project Details:

hack-architecture
hack-architecture1382Ă—892 10.9 KB

hack-kcore

More details:

Project Milestones:

  • Machine Learning (finished)
  • Graph Algorithms (finished)
  • Improve the algorithm to enhance recognition accuracy
  • Access additional TRON ecosystem functionality, expand data scope, and enhance processing efficacy
Since this hackathon is an ongoing funding program, projects that have great potential and 
good community engagement are likely to win and receive additional funding after the initial hackathon. 
Therefore, participants should update their project posts to be as detailed as possible and
answer any community questions during the hackathon period.
22 Likes
2

i would like to invest in this token

2 Likes
3

I would love to buy or hold this coin for future purpose

5 Likes
5

This project is fire…its very nice

6

Does it have a token

7

Wouldn’t node mining be cumbersome? How about you get your data from the nodes without mining

8

Getting to familiarise myself with this amazing web3 projects. This is promising. :rocket::rocket::rocket:

10

Greetings! Your project seems to be missing details on the following. Please add them to your project. Thank you!

Please Include:
Contract Address.

11

Nice project looking good