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DEI - FCTUC
Gerado a 2024-07-17 10:24:04 (Europe/Lisbon).
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Titulo Estágio

Behavioural Biometric Visualisations

Local do Estágio

Coimbra

Enquadramento

Visually represent behavioural biometrics to make the concept easier to understand for customers and prospects. For example smart phone screen scroll patterns of a users norm vs that of a fraudster.

Objetivo

Visually represent behavioural biometrics to make the concept easier to understand for customers and prospects. For example smart phone screen scroll patterns of a users norm vs that of a fraudster.

Plano de Trabalhos - Semestre 1

"Stages:
1. Literature review on dimensionality reduction techniques
2. Review of Feedzai data collection practices
3. Define methodology to test quality of visualization techniques to differentiate fraudulent from legitimate behavior

Expected results:
1. Documentation and comparison of state-of-the-art dimensionality visualization techniques
2. Execution plan with data collection approach well defined"

Plano de Trabalhos - Semestre 2

"Stages:
1. Raw data collection with Feedzai's demo app
2. Data understanding and normalization
3. Application of techniques to visualize behavior
4. Benchmarking of explored techniques
5. Documentation of results

Expected results:
1. Visualization guidelines
2. Final report with results and presentation"

Condições

Remunerated

Observações

Data is to be collected from Feedzai Digital Activity monitoring SDK which is deployed on Banking mobile and web apps. Data attributes include but are not limited to: (A) device info such as gyroscope, accelerometer sensors; (B) user behavior such as tap screen position, timestamp; (C) application info such as screen ID; (D) network data such as IP address and (E) operational feedback, ie if a session is deemed risky or fraudulent.

Orientador

David Garcia Munoz
david.garcia@feedzai.com 📩