Data Analytics for Various Cybersecurity Datasets

Faculty image	Faculty Name	Department	University/college
	Chengyi Qu	Computing and Software Engineering	FGCU/U.A. Whitaker College of Engineering
	Luca Mazzola	Computer Science	Lucerne School Of Computer Science and Information Technology, Switzerland

TITLE: Data Analytics for Various Cybersecurity Datasets

Project Description:

Cooperating on generating cybersecurity datasets as well as analyze and visualize data, while also exploring the cultural implications that influence security measures and privacy strategies globally.

Resulting Scholarship:

N/A

Student Learning Outcomes:

Originally, my class only consists of few labs and assignments for students to complete. These labs and assignments are usually from textbooks and outdated dataset resources. The project propels students beyond theoretical knowledge by engaging them in hands-on analysis of cybersecurity datasets and envisioning cooperative projects, providing practical application and a glimpse into industry-relevant scenarios. Additionally, interaction with peers from different cultural backgrounds cultivates stronger intercultural communication skills, essential in today's interconnected global workforce.

Participating Countries: USA and Switzerland, Lucerne University of Applied Sciences and Arts - HSLU

Number of FGCU and Partner Institution Student Participants:

FGCU students: 26 students

Lucerne University of Applied Sciences and Arts students: 10 students

Discipline: Computer Science and Software Engineering

FGCU Course Code & Name: CEN 3078 Computer Security, (CRN 12552, CRN 15627)

Project Duration: March 11^th to May 1^s^t

Technology Tools:

FGCU: Canvas

HSLU: ILIAS

Machine Learning Algorithms are used for analyzing the state-of-the-art cybersecurity dataset and generating new data.

R programming language are used for the exercises and the projects for the HSLU Data Science Basic course.