Detecting and Analyzing Market Manipulation On - Sophia Antipolis, France - Université Côte d'Azur

Université Côte d'Azur
Université Côte d'Azur
Entreprise vérifiée
Sophia Antipolis, France

il y a 1 semaine

Sophie Dupont

Posté par:

Sophie Dupont

beBee Recruiter
Description

Detecting and analyzing market manipulation on Bitcoin // Detecting and analyzing market manipulation on Bitcoin:

  • Réf
-
ABG-113114

ADUM-48909

  • Sujet de Thèse 11/04/2023
  • Université Côte d'Azur
  • Lieu de travail
  • Sophia Antipolis Cedex
  • France
  • Intitulé du sujet
  • Detecting and analyzing market manipulation on Bitcoin // Detecting and analyzing market manipulation on Bitcoin
  • Mots clés bitcoin, data science, financial markets, blockchain
- bitcoin, data science, financial markets, blockchain
Description du sujet:

  • The objectives of this Ph.
D. thesis are the following.

  • 1) Explore how to reconstruct the transaction history of entities by associating stream of transactions for different addresses. We propose to explore multiple techniques such as exploiting graph properties of the transaction graph [1][2] and using unsupervised machine learning to cluster addresses belonging to a single entity.
  • 2) Explore existing market manipulation techniques [3] and seek for their presence on bitcoin.
  • 3) Conceive a surveillance system (possibly based on machine learning) to detect early any attempt to market manipulation.
  • Note on the summary: A Ph.
D. thesis is a long journey built between the student and the supervisor. During this journey, the initial plan is never fully followed and serendipity is the norm.

The presented summary gives the theme and a direction, not a detailed work plan that would be defined and adapted during the Ph.

D. thesis.
The objectives of this Ph.
D. thesis are the following.

  • 1) Explore how to reconstruct the transaction history of entities by associating stream of transactions for different addresses. We propose to explore multiple techniques such as exploiting graph properties of the transaction graph [1][2] and using unsupervised machine learning to cluster addresses belonging to a single entity.
  • 2) Explore existing market manipulation techniques [3] and seek for their presence on bitcoin.
  • 3) Conceive a surveillance system (possibly based on machine learning) to detect early any attempt to market manipulation.
  • Note on the summary: A Ph.
D. thesis is a long journey built between the student and the supervisor. During this journey, the initial plan is never fully followed and serendipity is the norm.

The presented summary gives the theme and a direction, not a detailed work plan that would be defined and adapted during the Ph.

D. thesis.

Début de la thèse : 01/10/2023
Nature du financement:

Précisions sur le financement:


  • Contrat doctoral EDSTIC-UCA ou EUR-DS4H
    Présentation établissement et labo d'accueil:
  • Université Côte d'Azur
    Etablissement délivrant le doctorat:
  • Université Côte d'Azur

Ecole doctorale:

  • 84 STIC Sciences et Technologies de l'Information et de la Communication09/05/2023
Plus d'emplois de Université Côte d'Azur
Voir tous les emplois de Université Côte d'Azur