Check out Dr Yonghong Tong and Dr Taylan “Ty” Sen, both are Professors at Niagara University in Cybersecurity. They will be teaching Computational Analysis, AI, Data Science, and Forensic Investigation.
Check out the lectures below.
Computational analysis:
This is a 2-day session (2 three hour sessions), we will provide students an opportunity to
explore an interdisciplinary STEP project of AI, data science, and forensic investigation.
Multiple interactive sessions will provide students both conceptual and practical learning
experiences. Hands-on real world data analysis using Python programming and AI to analyse
real world digital evidence, including image, (video) and text. After this mini-camp,students will
learn foundational skills in Python programming, practical experience with AI tools, and a
deeper understanding of how data-driven technology can be applied in forensics investigation.
Day 1: Basics of forensic investigation, and AI tools, Topics include forensic science, digital
evidence, AI tools for image recognition, voice analysis, and text analysis. Using AI tools to
analyse the forensic data.
Then we will introduce students to the Python programming language and related library to
analyze the same data.
Day 2: Real-world hands-on mini investigation project. This will be a team project, each team
can have 2-3 members. They will analyze a simulated case involving image, audio, and text
evidence. They will conduct analysis with both AI tools and their own Python-based code. Each
team will compare the results. Finally student teams will present their “Forensic Investigation
Report”. We would like to see all the teams have the same forensic evidence. Groups (3 teams
at a time) will take turns going through an Escape Room Challenge which will require their
newly acquired computer forensic skills to solve challenges.
List of Specific Lessons & Activities Currently Available (~20 minutes each) – An ideal subset
will be selected with more planning.
● PROGRAMMING BASICS
○ Python Basics
○ Markdown Basics
○ Colab Notebooks
■ Activity: Hello World with image and conditional response.
● IMAGE FORENSICS INTRO
○ Extracting Meta Data from Images with Exif Tool
■ Activity: extract GPS coordinates from evidence image
○ Detecting/Highlighting Image Changes with OpenCV
■ Activity: use tools to highlight changes in evidence image and original
image
○ Face Detection in Images/Video with OpenCV
■ Activity: take your own picture and test face detection confidence (with
funny faces/obstructions)
○ DeepFake Image Creation with Dali
■ Activity: Use Openai Dali tool to generate fake images.
○ DeepFake Image Creation with SelfiSegmentation
■ Activity: Use student’s own photos to modify their backgorund location.
○ **DeepFake detection using SigLip model
■ Activity: Compare fake prediction using AI model with student and
evidence images.
● NETWORK FORENSICS
○ Getting Network Info with ipconfig/ifconfig/ip
■ Activity: Use tool to find out the wi-fi network name
○ Getting Network Info with ping
■ Activity: Estimate how far away a network is via lag time.
○ Tracking Down a wifi Network Location with WIGLE
■ Activity: See how global wifi map information is stored/retrieved to find the
physical location of a network.
○ Getting Domain Info with whois
■ Activity: Find out who registered a domain name and when.
○ Wayback Machine
■ Activity: Find evidence of a website’s old configuration
Dr Sen above.
Dr Tong above.