Automating Host Exploitation with AI

A simple, low-interaction SSH honeypot server in Python for easy network traffic monitoring

Deception Detection with Machine Learning: a literature review and statistical analisys

A simple, low-interaction LDAP honeypot server in Python for easy network traffic monitoring

A simple, low-interaction NTP honeypot server in Python for easy network traffic monitoring

Classification for Deception Detection on Amazon Reviews Dataset

A simple, low-interaction PostgreSQL honeypot server in Python for easy network traffic monitoring

Repository for the paper "Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective"

A repository containing the demostrative code of the implementation of the 9 RNN architectures for our research.

Um dataset com 92 reviews falsas e 92 reviews verdadeiras sobre livros em Português

Multilingual Deception Detection of GPT-generated Hotel Reviews

A simple, low-interaction FTP honeypot server in Python for easy network traffic monitoring

A simple, low-interaction SIP honeypot server in Python for easy network traffic monitoring

A simple, low-interaction TELNET honeypot server in Python for easy network traffic monitoring

For my MSc dissertation, and in my role as a research data analyst, I am undertaking an analysis of electroencephalography data to investigate whether detection of the P300 neural signal can be utilised within an EEG Brain-Computer Interface to discern information from the minds of individuals, without the need for explicit communication.

Towards Deception Detection in Multiplayer Dialogue Games using Trust-Based Argumentation. Umeå University, 2023

A simple, low-interaction DNS honeypot server in Python for easy network traffic monitoring

A simple, low-interaction HTTP honeypot server in Python for easy network traffic monitoring

A simple, low-interaction HTTPS honeypot server in Python for easy network traffic monitoring

A development of a method for automatically classifying Amazon reviews as real or fake using annotated data from Amazon