TRIDEnT: Blockchain-based Collaborative Intrusion Detection
Master Thesis
Beschreibung
Cyber attacks are becoming increasingly sophisticated and coordinated. Isolated intrusion detection systems can sometimes not detect coordinated attacks in time. Therefore, collaboration between intrusion detection systems in needed, in the form of alert exchange. However, beneficial collaboration between mutually untrusted peers (some may be controlled by attackers already) is a problem of its own. To address this problem, we have introduced (opens in new tab), a blockchain-based Collaborative Intrusion Detection System (CIDS). TRIDEnT
This thesis involves continuing the development of TRIDEnT with theoretical and practical contributions. Prototypes will be built using and will be evaluated in simulated, as well as in real-world settings. Hyperledger Fabric
Motivation
Cyber attacks are becoming increasingly sophisticated and coordinated. Isolated intrusion detection systems can sometimes not detect coordinated attacks in time. Therefore, collaboration between intrusion detection systems in needed, in the form of alert exchange. However, beneficial collaboration between mutually untrusted peers (some may be controlled by attackers already) is a problem of its own. To address this problem, we have introduced (opens in new tab), a blockchain-based Collaborative Intrusion Detection System (CIDS). TRIDEnT
Start: 10.11.2017
Betreuer:
- Nikolaos Alexopoulos (alexopoulos(a-t)tk.tu-darmstadt.de)
- Emmanouil Vasilomanolakis (vasilomano(a-t)tk.tu-darmstadt.de)
Forschungsgebiete: CRISP, CROSSING, Telecooperation , – SPIN: Smart Protection in Infrastructures and Networks