Mustafa Topsakal

COMPUTER ENGINEER · RESEARCH ASSISTANT

I work on computer networks, network security, and IEEE 802.1 Time-Sensitive Networking. My research focuses on intrusion detection in deterministic networks, protocol-level attack analysis, and the security of reliable communication mechanisms.

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ABOUT

About

I am a Research Assistant and PhD candidate at Karadeniz Technical University. My work focuses on computer networks, network security, and Time-Sensitive Networking (IEEE 802.1 TSN). In particular, I study intrusion detection in deterministic network systems, protocol-level attack analysis, and the assessment of how attacks affect network reliability.

In my research, I examine the security dimension of IEEE 802.1 TSN mechanisms through simulation-based experiments and packet/protocol-level analysis. My focus is not only on detecting attack scenarios, but also on understanding their impact on network behavior, timing, reliability, and fault-tolerance mechanisms.

Alongside my academic work, I develop hands-on laboratory materials for teaching computer networks and network security, and I continue to produce articles and open-source workspaces that make technical topics more accessible.

My work focuses on understanding the impact of attacks on protocol behavior and system reliability in dependable, time-sensitive networks.

MY RESEARCH & EXPERTISE

Computer NetworksTime-Sensitive NetworkingNetwork SecurityTSN SecurityAttack Impact AnalysisProtocol-Level AttacksNetwork SimulationIntrusion Detection

EXPERIENCE

Experience

PhD

ACTIVE

OCT 2020 — PRESENT

Karadeniz Technical University · Computer Engineering · Trabzon, Türkiye

Thesis: Intrusion Detection and Prevention Approaches for IEEE 802.1 Time-Sensitive Networking

Research Assistant

ACTIVE

SEP 2020 — PRESENT

Karadeniz Technical University · Software Engineering · Trabzon, Türkiye

Researcher

APR 2025 — JUN 2025

Deggendorf Institute of Technology · Fakultät Angewandte Informatik · Deggendorf, Bavaria, Germany

Master's Degree

JUL 2017 — AUG 2020

Karadeniz Technical University · Computer Engineering · Trabzon, Türkiye

Thesis: Enhancement of multiple routing configurations based on graph augmentation approach and its performance analysis

Engineer Intern

JUL 2016 — SEP 2016

Mutlusoft Information Technologies · Trabzon, Türkiye

Bachelor's Degree

SEP 2012 — OCT 2016

Karadeniz Technical University · Computer Engineering · Trabzon, Türkiye

Engineer Intern

JUL 2015 — AUG 2015

Datakent Software · Trabzon, Türkiye

PROJECTS

Projects

Selected projects reflecting my work in network laboratory design, intrusion detection, and simulation.

Network Laboratory Design (AğLab)

AĞSIMLAB

CANLI

A structured network laboratory platform designed to support hands-on learning and protocol-level analysis in computer networks education.

The project provides a series of progressively designed laboratory experiments covering Ethernet, IP, ARP, DNS, UDP, TCP, and secure communication protocols. Students analyze real network traffic using Wireshark and command-line tools to observe protocol behavior and network dynamics. The laboratory is built on a layered, observation-driven methodology, where each experiment focuses on a specific network layer while reinforcing cross-layer interactions.

KEY CONTRIBUTIONS

Design of a multi-stage, structured network laboratory curriculum
Integration of theoretical concepts with real packet-level analysis
Development of guided experiments with measurable outputs
Emphasis on protocol behavior and traffic interpretation

TECHNOLOGIES

WiresharkTCP/IPWindows/Linux Networking Tools

View Project GitHub

TSN Intrusion Detection Framework

TSN IDS FRAMEWORK

ARAŞTIRMA

A machine learning-based intrusion detection framework designed for IEEE 802.1 Time-Sensitive Networking environments.

This project focuses on detecting cyberattacks in deterministic networks by analyzing traffic patterns and generating labeled datasets for model training and evaluation. The framework is designed to support realistic attack scenarios and protocol-aware detection strategies. It aligns with my research on attack detection and behavior analysis in TSN systems.

KEY CONTRIBUTIONS

Design of a dataset generation pipeline for TSN traffic
Implementation of machine learning-based intrusion detection models
Support for realistic attack scenarios and traffic labeling
Evaluation of detection performance under different network conditions

TECHNOLOGIES

PythonMachine LearningNetwork Traffic AnalysisTSN

GitHub

INET / OMNeT++ TSN Simulation Workspace

INET WORKSPACE

ARAŞTIRMA

A simulation workspace based on OMNeT++ and INET, developed for modeling and analyzing Time-Sensitive Networking mechanisms and attack scenarios.

The workspace includes custom simulation scenarios focusing on protocol behavior, traffic dynamics, and attack impact analysis. It is actively used for studying TSN reliability mechanisms such as IEEE 802.1CB Frame Replication and Elimination for Reliability (FRER).

KEY CONTRIBUTIONS