AI-Driven Protocol Fuzzing for Emerging IoT Communication Protocols
Type of thesis:
- Master Thesis
Supervisor:
- Dr.-Ing. Loui Al Sardy
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: loui.alsardy@fau.de
Description of the thesis:
This research focuses on developing an AI-powered fuzzing framework capable of generating dynamic and adaptive test inputs for communication protocols. Leveraging reinforcement learning, the system identifies vulnerabilities in both emerging and proprietary IoT protocols, significantly enhancing protocol security and robustness.
Adaptive Anomaly Detection for Cybersecurity Using LSTM
Type of thesis:
- Master Thesis
Supervisor:
- Dr.-Ing. Loui Al Sardy
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: loui.alsardy@fau.de
Description of the thesis:
This project centers on designing an advanced intrusion detection system (IDS) tailored for IoT environments. By utilizing Long Short-Term Memory (LSTM) networks, the system can analyze sequential traffic patterns, adapt to dynamic network conditions, and address resource constraints. This approach enhances anomaly detection accuracy while reducing false positives in IoT networks.
Cybersecurity Attack Simulation and Response Modeling for Smart Networks
Type of thesis:
- Master Thesis
Supervisor:
- Dr.-Ing. Loui Al Sardy
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: loui.alsardy@fau.de
Description of the thesis:
This research involves developing a modular and scalable simulation framework for cybersecurity analysis. The framework simulates real-world attack scenarios, enabling researchers to assess defense strategies and optimize response mechanisms. By providing a controlled environment for proactive threat analysis, this approach strengthens network security readiness.
Effect of the SDN Concept on the Energy System Efficiency in Huge Networks
Type of thesis:
- Master Thesis
Supervisor:
Description of the thesis:
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Software-defined networking (SDN) decouples the control plane (i.e. decision-making) from the data plane (the actual forwarding actions) and provides API between them (e.g. OpenFlow API). With SDN architecture, network engineers no longer have to learn proprietary CLI commands for different vendors. They can focus on developing logically centralized control programs to make network global decisions and send them down to network switches (data plane). Dumped network switches (data plane) receive controller rules/decisions and process network packets accordingly. But, if no decision is found they ask the controller. In smart grids, the use of SDN has enhanced the reliability of field device communication through fast migration of functionality from a failed device towards a redundant device and enabled a power system-dependent prioritization of SGS communication triggered by one SGS.
Problem Definition:
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After Defining a huge communication network used for the energy system, the SDN controller should collect all network infrastructure information and form them as a graph (Node-link diagram). Then, a method should find all possible paths between the field devices and their servers (Machine learning algorithms are preferable). Eventually, implementation of network calculus to confirm the performance guarantees and send all related instructions to the forwarding nodes at once. The main goal is to compare the result to the classical SDN method and show the advantages of using network calculus calculations.
Lectures and knowledge required
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Students with experience (work or courses) in Java & Python programmings-interest (and preferably first experiences) in computer networks-independent, structured and conscientious way of working.
Contact us:
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Dr. -Ing. Abdullah Alshra’a abdullah.alshraa@fau.de https://www.cs7.tf.fau.de/persons/alshraa/
Keywords:
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SDN, energy
Investigating operational strategies and effects of energy storage systems within microgrids
Type of thesis:
- Bachelor Thesis/Master Thesis/Project Thesis/Research Project
Supervisor:
- Fellerer, Jonathan
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27009, E-Mail: jonathan.fellerer@fau.de
Description of the thesis:
Since I try to tailor a thesis or project to a students skills and interests, please contact me with a short motivation and proposals for potential research directions you are interested in. I will check your proposals for suitability for your endeavour. Attach your CV and any certificate of grades or skills that will help me with assessing your skill set.
Keywords:
- Energy storage systems, microgrids, smart grids, renewable energy, energy grid transformation
Investigating the Impact of Congestion Control Algorithms in Satellite Networks through a Simulation Environment
Type of the thesis:
- Master Thesis
Supervisor:
- Martino, Luigi
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27914, Fax +49 9131 85 27409, E-Mail: luigi.martino@fau.de
Safety and reliability analysis of European Control Train System (ECST) by fault trees
Type of the thesis:
- Master Thesis
Supervisor:
- Dibaei, Mahdi
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: mahdi.dibaei@fau.de
Description of the thesis
The International Electrotechnical Commission (IEC) has developed IEC 61375 (also named IEEE 1473-T) as a standard of train communication network (TCN) and as the architecture of data communication systems in rail vehicles. TCN consists of two master-slave buses: the multifunction vehicle bus (MVB) for data communication inside train cars and the wire train bus (WTB) for data communication between them. The reliability of TCN is critical in the train.
Safety and reliability can be analyzed by fault tree which is a deductive and diagrammatic method,
extensively used in industry to find the potential causes of failure in the safety-critical functions of complex systems. The process starts from an undesired event called the top event and tries to find the cause or combination of causes leading to the occurrence of it. In this master thesis, reliability analysis with fault trees can be performed to verify the reliability of TCN.
Possible research directions
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1- Quantitative analysis of the system with the Monte Carlo approach regarding failure rates of
different basic events to compute the reliability of the top event over time
2- Considering product line engineering which tries to utilize reusable common assets for
developing products and Integrating fault trees into product line engineering to perform
reliability analysis for a range of variants in the product line.
3- Computing minimal cut sets (the minimal combination of basic events that make the whole
system fail) in fault tree analysis and investigating new solutions for improving existing
methods such as MOCUS or BDD.
Lectures and knowledge required
- Students with experience (work or courses) in Python or C++. Perhaps, working with
other related platforms like XFTA during experiments is also required.
Contact us
- Mahdi Dibaei, mahdi.dibaei@fau.de https://www.cs7.tf.fau.eu/persons/dibaei/
Key words
- Fault Tree Analysis, Safety, Reliability
Performance Evaluation of the QUIC Transport Protocol over GEO, LEO, and Emulated Satellite Links
Type of the thesis:
- Bachelor Thesis | Master Thesis | Research Project
Supervisor:
- Jahandar, Saeid
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85-27931, Fax +49 9131 85 27409, E-Mail: saeid.jahandar@fau.de
Description of the thesis:
To align your thesis or project with your skills and interests, please submit a brief motivation along with proposed research directions. Include your CV and any relevant transcripts or certificates for a thorough evaluation of your skill set. Your proposals will be assessed for relevance and feasibility.
Keywords:
- QUIC transport protocol, Satellite communication, Emulated satellite links, Congestion control algorithms, Protocol efficiency
Al-Based Anomaly Detection to Enhance Cybersecurity in IoT Networks
Type of thesis:
-
Master Thesis
Supervisors:
-
Dr.-Ing. Loui Al Sardy / Muhamad Mammdouh
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: loui.alsardy@fau.de / muhamad.mamhammad@fau.de
Processing status:
- The thesis has been assigned
Al-Driven Anomaly Detection of ICS Protocols in Smart Grids
Type of thesis:
- Master Thesis
Supervisor:
-
Muhamad Mammdouh
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: muhamad.mamhammad@fau.de
Processing status:
- The thesis has been assigned
Application Performance Management of Low-Power Wireless Networks
Type of the thesis:
- Master Thesis
Supervisor:
- Deutschmann, Jörg
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27914, E-Mail: joerg.deutschmann@fau.de
Processing status:
- Thesis has been assiged
Classification and Evaluation of the Over-the-Air Signal Patterns for Autonomous Train Operation
Type of thesis:
- Project
Supervisor:
-
Dr.-Ing. Anna Baron
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: anna.baron@fau.de
Processing status:
- The project has been assigned
Einlesen, Manipulation und Weitergabe von CAN-Kommunikation in Echtzeit am Beispiel eines HIL-Systemtestaufbaus
Type of thesis:
- Bachelor Arbeit
Suppervisors:
- Baron, Anna
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 28700, Fax +49 9131 85 27409, E-Mail: anna.baron@fau.de - Lichter, Jens (Ext.)
E-Mail: jens.lichterfeld@siemens.com
Processing status:
- The thesis has been assigned
Energieoptimierte Übertragung großer Datenmengen für IoT-Anwendungen
Type of thesis:
-
Master Thesis
Supervisor:
- Bazan, Peter
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27414, Fax +49 9131 85 27409, E-Mail: Peter.Bazan@fau.de
Processing status:
- The thesis has been assigned
Enhancing Cybersecurity for Cyber-Physical Systems: Integration of Preventive and Detective Controls Using Digital Twins
Type of thesis:
-
Master Thesis
Supervisor:
-
Dr.-Ing. Loui Al Sardy
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: loui.alsardy@fau.de
Processing status:
- The thesis has been assigned
Satellite Link Emulation
Type of the thesis:
- Master Thesis
Supervisor:
- Saeid Jahandar
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85-27697, Fax +49 9131 85-27931, E-Mail: saeid.jahandar@fau.de
Processing status:
- Thesis has been assiged
Dynamic Resource Unit Allocation in Time Sensitive Networking WLANs across a 5G Core
Type of thesis:
- Master Thesis
Supervisors:
- Baron, Anna
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 28700, Fax +49 9131 85 27409, E-Mail: anna.baron@fau.de - Martino, Luigi
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27914, Fax +49 9131 85 27409, E-Mail: luigi.martino@fau.de
Submission date:
- 8th, January 2025
A Social-aware Software Stack for an Autonomous Driving Wheelchair
Type of thesis:
- Master Thesis
Supervisor:
- Al Sardy, Loui
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49-9131-85-27099, E-Mail: loui.alsardy@fau.de - Kalenberg, Matthias, M.Sc.
Lehrstuhl für Fertigungsautomatisierung und Prokuktionssystematik FAPS (Ext.)
https://www.faps.fau.de/person/matthias-kalenberg
Submission date:
- 1.10.2024
A Testbed for Security Protocols
Type of the thesis:
- Master Thesis
Supervisor:
- Deutschmann, Jörg
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27914, E-Mail: joerg.deutschmann@fau.de
Submission date:
- 1.08.2024
Analysis and optimization algorithm for fault tree
Type of thesis:
- Master Thesis
Supervisor:
- Dibaei Asl, Mahdi
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon 09131-85-27993, Fax +49 9131 85 27409, E-Mail: mahdi.dibaei@fau.de
Submission date:
- 24.10.2024
Analysis of Calculation Methods for Energetic Measures in Systems with Electric Energy Storage
Type of the thesis:
- Master Thesis
Supervisor:
-
Jonathan, Fellerer
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27009, E-Mail: jonathan.fellerer@fau.de
Submission date
- 13.11.2024
Anwendung und Evaluation von Machine Learning Methoden zur Optimierung des praxisnahen Einsatzes eines Fingerprinting-basierten Lokalisierungssystems
Art der Arbeit:
- Master Thesis
Abgabedatum:
- 27.02.2024
Blockchain Solution for Secure Smart Grids with Multiple SDN Controllers
Type of thesis:
- Master Thesis
Supervisor:
- Dr.-Ing. Abdullah Alshra’a
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
E-Mail: abdullah.alshraa@fau.de
Submission date:
- 19.06.2024
Congestion Control Algorithms in Network Simulators
Type of thesis:
- Master Thesis
Supervisor:
- Martino, Luigi
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27914, Fax +49 9131 85 27409, E-Mail: luigi.martino@fau.de
Abgabedatum
- 11.09.2024
Datenzentrierte Architektur für das Human-Machine-Interface (HMI) einer CNC-Steuerung
Type of the thesis:
- Bachelor Thesis
Supervisor:
- Dr.-Ing. Anna Baron
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 28700, Fax +49 9131 85 27409, E-Mail: anna.baron@fau.de
Submission date:
- 05.02.2024
Der Einfluss von SDN und NFV auf die Skalierbarkeit und Effizienz von verteilten Netzsimulationen mittels eines generischen Datenmodells
Type of thesis:
- Master Thesis
Supervisors:
- Bazan, Peter
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27414, Fax +49 9131 85 27409, E-Mail: Peter.Bazan@fau.de - Janick Meyer
Submission date:
- 7.11.2024
Enhancing Power Transformer Reliability Through Sensor Validation and Monitoring System Optimisation
Type of thesis:
- Master Thesis
Supervisor:
- Bazan, Peter
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27414, Fax +49 9131 85 27409, E-Mail: Peter.Bazan@fau.de
Submission date:
- 1.08.2024
Evaluation of Physics-Informed Neutral Networks in Modeling Dynamics of Lumped Parameter Systems
Type of thesis:
- Master Thesis
Supervisor:
- Sommer, Alexander
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27929, E-Mail: alexander.sommer@fau.de
Submission date:
- 29.10.2024
i7Fuzzer: An Intelligent Approach for Protocol Security Testing
Type of thesis:
- Master Thesis
Supervisor:
- Dr.-Ing. Loui Al sardy
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49-9131-85-27099, E-Mail: loui.alsardy@fau.de
Submission date:
- 21.11.2024
Implementation and Performance Evaluation of Service Blocking Queues in Hardware-in-the-Loop Systems
Type of thesis:
- Master Thesis
Supervisor:
- Hielscher, Kai-Steffen Jens
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27932, Fax +49 9131 85 27409, E-Mail: kai-steffen.hielscher@fau.de - Funda, Christoph
ZF Mobility Solutions GmbH (Ext.)
Submission date:
- 31.03.2024
Implementation of a Robust and Scalable Mioty Service Center
Type of thesis:
-
Master Thesis
Supervisors:
- Hielscher, Kai-Steffen Jens
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27932, Fax +49 9131 85 27409, E-Mail: kai-steffen.hielscher@fau.de - Schrampfer, Simon
Submission date:
- 5.08.2024
Low Earth Orbit Satellite Megaconstellations Literature Review
Type of thesis:
- Master Thesis
Supervisor:
- Deutschmann, Jörg
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27914, E-Mail: joerg.deutschmann@fau.de
Submission date:
- 24.09.2024
Priorisierung von Testfällen basierend auf Sourcecode-Änderungen mithilfe von maschinellem Lernen
Type of the thesis:
-
Master Thesis
Supervisor:
- Djanatliev, Anatoli
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27099, Fax +49 9131 85 27409, E-Mail: anatoli.djanatliev@fau.de
Submission date
- 21.06.2024
QoS-Aware Sidelink Transmission
Type of the thesis:
- Master Thesis
Supervisor:
- German, Reinhard
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27916, Fax +49 9131 85 27409, E-Mail: reinhard.german@fau.de - Martino, Luigi
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85 27914, Fax +49 9131 85 27409, E-Mail: luigi.martino@fau.de
Submission date
- 15.01.2024
- A multipath proxy for the combination of heterogeneous communications paths
Submission date: 10.10.2023 - Analysis and implementations of signal flows by means of a common domain-specific language
Submission date: 26.01.2023 - Bewertung von Straßennetzen hinsichtlich ihrer 3D-Eigenschaften für die dreidimensionale V2X-Simulation
Submission date: 26.01.2023 - Bufferbloat in Satellite Networks
Submission date: 17.01.2023 - Deep Learning zum Lösen von Scheduling-Problemen für energieeffiziente Produktionsanlagen
Submission date: 26.01.2023 - Emergency Vehicle Priorization using V2X communication
Submission date: 26.07.2023 - Entwicklung eines anwendungsorientierten, webbasierten Benutzerinterfaces zur effizienten Ansteuerung eines Systems zur Synchronisation, Referenzsignalerzeugung und -verteilung zum Betrieb eines hochkanaligen kohärenten Sende- und Empfangssystemss zur Forschung am Mobilfunkstandort 6G
Submission date: 28.09.2023 - Entwicklung eines Hardware in the Loop Testsystems zur Validierung echtzeitfähiger Sensordatenerfassung in der Produktion
Submission date: 19.05.2023 - Ermittlung einer optimalen Betriebsstrategie für einen Wasserstofftriebzug hinsichtlich Energieeffizienz, Lebensdauer und Betriebskosten der einzelnen Komponenten
Submission date: 21.06.2023 - Examining the Impact of TSN Scheduling on Low-Priority Traffic
Submission date: 21.11.2023 - Generation of Network-Calculus arrival@service curves from measurement data – Research, comparison and application of methods to HIL measurement data
Submission date: 21.6.2023 - Heuristic Scheduling of Asynchronous 5G Traffic Demands over Synchronous and Time-Sensitive Networks
Submission date: 01.03.2023 - Implementation und Evaluation of Scheduling Algorithms for Multipath QUIC
Submission date: 19.4.2023 - QoS Analysis of Smart Distribution Grids with Network Calculus
Submission date: 21.01.2023 - Quantifying the impact of Vehicle-to-Grid for Redispatch 3.0 in Germany – A simulatio-based scenario analysis
Submission date: 21.06.2023 - QUIC Interop Runner for Satellite Links: Enhancements and further Evaluations
Submission date: 10.01.2023 - Real Time Digital Shadow
Submission date: 21.11.2023 - Real-Time Optimization of MEC-enabled Communication Networks
Submission date: 02.02.2023 - Reinforcement learning for the configuration of credit-based shaper networks
Submission date: 01.06.2023 - Service curve estimation methods for distributed & asynchronous HiL systems
Submission date: 21.11.2023 - System Design and Routing Protocols for Low Earth Orbit Satellite Megaconstellations
Submission date: 05.05.2023
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The LaTeX template you will find here:
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