Kaan Karataş, Developing A Framework to Evaluate the Usability of Virtual and Mixed Reality Environments to Practice Model-Based Systems Engineering

This thesis aims to understand the applicability of virtual reality or mixed reality environments to perform model-based systems engineering and develop a prototype for a framework for such uses. By conducting user tests with people from systems engineering and interactive application and game development background, identifies the primary advantages and disadvantages of using these environments compared to desktop environment. The outcomes serve as a strong baseline for possible future research and established that the virtual reality or mixed reality environments can be suitable for model-based systems engineering.

Date: 26.11.2024 Place: A-212

English

Ümit Eronat, A Comparative Analysis of Various 3D Mesh Optimization Algorithms for Assessing Effectiveness on Sustaining Virtual Visual Illusion

This thesis presents a method of comparing the cost-effectiveness of 3D mesh simplification algorithms using the McGurk effect, where visual and auditory cues are combined to create an illusion. The study involves designing a human head mesh, animating mouth movements, and recording certain syllable sounds to produce a virtual scene. Using this virtual scene and applying three different mesh simplification algorithms on the animated head, a user study was conducted to test and measure the effectiveness of each algorithm for each different syllable in medium and high difficulty levels. Results highlight the balance between computational efficiency and perceptual accuracy, providing insights for 3D modeling and virtual reality applications.

Date: 29.11.2024 / 10:00 Place: A-212

English

Yasin Aksüt, An Analysis Of Kerberoasting Attack And Detection With Supervised Machine Learning Algorithms

Active Directory (AD) is one of the most widely used directory services today, playing a key role in organizing and managing network resources within an organization. A robust security strategy is crucial to prevent and detect AD attacks, which can be difficult to detect due to their blend in with normal network traffic. One such attack is the Kerberoasting attack, which exploits weaknesses in the Kerberos authentication protocol. To detect these attacks, supervised machine learning algorithms are being proposed. And also publicly available dataset to measure the efficiency of these algorithms for Kerberoasting attacks was created and shared.

Date: 22.11.2024 / 14:00 Place: A-108

English

Cyber Security Orientation Meeting

Dear Students,

In the 2024-2025 Academic Year Fall Term, our introduction and information meeting with our students who have been accepted to the Cyber Security program will be held face to face on September 25, 2024 at 13:30-16:00 at II-06 Classroom in Informatics Institute.

We congratulate our students who have been accepted to the program and wish them success.

Announcement Category

Event

Information Systems Orientation Meeting

Dear Students,

In the 2024-2025 Academic Year Fall Term, our introduction and information meeting with our students who have been accepted to the Information Systems program will be held face to face on September 24, 2024 at 14:00 at Neşe Yalabık Conference Hall in Informatics Institute.

We congratulate our students who have been accepted to the program and wish them success.

Announcement Category

Event

Pages

Subscribe to Graduate School of Informatics RSS