Team members: @salma zainana , @Malo, @Laura Galindo

Concept

The goal of this team is to provide algorithm / machine learning models to prevent fraud and attacks against the operation of our services. Several existing companies make use of a range of techniques to secure many different components of their operations.

Couple ideas to think about:

• Improve our blockchain itself to prevent long-range attacks for example
• Use machine learning to analyse typical behaviours and flag suspicious transactions
• Implement mechanisms to protect the API against malformed requests
• Code signing for the app
• Application sandboxing

Untitled

Research papers

CBT17.pdf

A_Survey_on_Long-Range_Attacks_for_Proof_of_Stake_Protocols.pdf

References

An Introduction to Blockchain Security

How to Secure your Blockchain Solutions

Stripe Radar: Fraud prevention for credit cards & payments

How Verus Solved Nothing at Stake and Weak Subjectivity Proof of Stake Problems

How to Use AI and Machine Learning in Fraud Detection