Student Offers
In our current research project VERCA (Distributed Detection of Cyber-Attacks with an intelligent and collaborative IDS), we offer theses in the following subject areas:
- Network Security
- Intrusion Detection Systems
- Advanced Network Infrastructures
- Pattern Recognition and Knowledge Discovery
- Programming Big Data Streaming Systems
Suggested Bachelor and Master Theses
In general, we have several challenging topics aimed at bachelor and master students in the last semester. Below you will find concrete notices for final theses. You are also welcome to submit your own suggestions for topics and discuss them with us. Please contact the team on topics that interest you.
- Machine Learning: Ensemble Methods in Collaborative Intrusion Detection Systemes (CIDS) (DE)
- Attacks on Collaborative Intrusion Detection Systems (CIDS) and protection measures (DE)
- Investigating current malware and their impact in SOA
- Optimal installation of a distributed network intrusion detection system
- Categorizing Intrusion Detection System methods in a meaningful structure
- Coding various data mining and machine learning techniques for security tools
- Categorizing and comparison in anomaly-based methodologies to detect network intrusions
- Implementing an optimized script to filter significant features from heterogeneous network and local host data
- Implementation and evaluation of growing self-organizing maps for network intrusion detection
- Feasibility study to parallelize clustering algorithms in network anomaly intrusion detection systems
- Neural Network Package for Weka, click here
- KDD Datasets in ARFF file format.Train Dataset and Test Dataset, Both Train and Test Datasets as RAR Archive
- Java Code of Simple K-Mean and SOM in Weka: Download
Completed Theses
Software, Packages, Programs
last modified: 26.09.2019 11:48