SS22:Seminar IT-Security

All topics are taken.


Topics:

- Machine Learning in Database Intrusion Detection Systems
- Modern problems require modern solutions - 5G IoT Physical Layer Network security
- Spoofing and Manipulation Attacks on Self-Driving cars
- Hackers on four wheels - Security of Automotive CAN (Controller Area Network) systems
- Hypervisor and Trusted Computing - Building a secure IoT architecture
- Eclipse attacks on Blockchain and countermeasures
- Identification of IoT devices through traffic fingerprinting
- Traffic Analysis Attacks on Tor
- Privacy on the Blockchain - How hackers get caught
- Backdoor attacks on Federated Machine Learning & defenses
- Lossless compression of log files for security analysis using Machine Learning
- Deep Learning based Proof-of-Work for Blockchains

We expanded the topic list by another group:

- How to guess better: Machine Learning based guided Fuzzing against Smart Contract vulnerabilities
- Cryptographic apocalypse? - Schemes for Post-Quantum Encryption
- Sophisticated & elusive botnets - Distributed Command & Control architecture
- Identification of IoT devices through radio frequency fingerprinting
- Supply Chain Management using Blockchain
- What you see is not what you get: Visual impersonation and underhanded source code
- Ponzi Schemes on the Blockchain
- Can you get rich? - Predicting Cryptocurrency prices
- Peeping Circuit: Machine Learning and Hardware Security
- Behavioral authentication using keystroke and sensor data using Machine Learning
- Adversarial attack on Machine Learning models
- Information extraction on Machine Learning models