Lateral Movement Detection in Corporate Internal Networks

Topics: Intrusion detection, Honeypot, Targeted attacks

The scope of the project is to enhance the existing threat detection capabilities of a real corporate internal network. It would focus on to define, implement and integrate detection techniques such as sinkhole network, honey net and/or deception. During the exercise the student(s) would work together with Cyber Defence Experts (Attack Monitoring, Incident Investigation, Incident Response) to come up with a practical solution on this topic.
A projekt szorosan kapcsolódik ipari partnerünk, a MOL érdeklődési területeihez, és lehetőséget biztosít a MOL kiberbiztonsági szakértőivel történő együttműködésre.

Maximum number of students: 1 student

Contact: Levente Buttyán (CrySyS Lab), External supervisor (MOL)

Threat Detection utilizing Packet Capture Infrastructure

Topics: Intrusion detection, Network monitoring, SIEM

The scope of this topic is to engineer a scalable network packet based detection system for a corporate network perimeter. The goal is to build a Snort and OpenAppID based detection solution on the top of an existing packet capture infrastructure and integrate the alerting mechanisms with a SIEM system. The student(s) will work with Cyber Defence Engineers who provide consultancy during the planning and implementation phases.
A projekt szorosan kapcsolódik ipari partnerünk, a MOL érdeklődési területeihez, és lehetőséget biztosít a MOL kiberbiztonsági szakértőivel történő együttműködésre.

Maximum number of students: 1 student

Contact: Levente Buttyán (CrySyS Lab), External supervisor (MOL)