Franck Arnaud Fotso Kuate

Franck Arnaud Fotso Kuate


I am a PhD student at the University of Ngaoundéré where I am conducting research on forensics in IoT. I am particularly interested in areas such as cybersecurity, artificial intelligence, forensics, IoT, blockchain.

I am characterized by

I am very hardworking and enthusiastic by nature. I am passionate about cybersecurity and all things new technology. I like sports, music and travelling ...

Professional experience

  • Speaker at the Burkina Faso international Workshop on Cybersecurity
  • Trainer of the CyComAi Project on Cybersecurity and Artificial Intelligence
  • Archtecture and Software in Distributed Environment's undergraduate
  • Programming skills: Python, C++, C, PHP (Yii framework), Javascript, HTML, CSS
  • Educational aptitudes
  • Pentesting with kali linux
  • Digital forensics

Current responsibilities

  • Responsible for the supervision of a Master student
  • Computer science teacher in GHBS Nyambaka, Cameroon
  • Member of the ScamEyes project
  • Responsible for computer virology and pentesting activities in CyComAI training courses

Research Interests

  • IoT forensics
  • Explicability Artificial intelligence
  • Web crawler
  • Misconfiguration attack
  • Machine Learning

Projects

AutoPatchMisconf (Automatic Patching Security Misconfigurations Based on Efficient Crawling): is an automatic tool for applying configuration rules to web server configuration files.


Level of studies

MSc.

Current Studies

PhD (ongoing)

Description of current research

With the advent of connected objects, it is becoming essential for cybersecurity researchers to address the issue of digital evidence in these environments. Several times during investigations, connected objects have been the focus of concern. Artificial intelligence is trying to bring solutions to this issue. The aim of our work is to propose an explanation for the different results obtained by machine learning algorithms in the process of digital evidence discovery in IoT.


Description of past research

I have previously worked on proposing an automatic tool to fix misconfiguration flaws on Apache web servers using web crawlers. We use XOR filters in this crawler which serve considerably to reduce the presence of duplicates and thus make the crawler better in terms of response time and memory used and even false positive rate.

Publications

  • https://scholar.google.com/citations?view_op=view_citation&hl=fr&user=ZvEBmh8AAAAJ&citation_for_view=ZvEBmh8AAAAJ:u5HHmVD_uO8C

Email

f.fotso@cycomai.com

Google scholar page

https://scholar.google.com/citations?user=ZvEBmh8AAAAJ&hl=fr


Social media pages

LinkedIn: https://www.linkedin.com/in/franck-fotso-bb3456235/


Personal/Business Web