DEFRAUDify

Oct 1, 2019
SITE

Funded by: EU ITEA4. Project ID: 18007.

October 2019 – March 2023.

Total funding: 10M Euro.

DEFRAUDify aims to develop tools that help private businesses to detect fraudulent behaviour on the internet. These tools are partly based on existing tools that have been developed for Law Enforcement. They will be adapted to become relevant for private businesses as well. DEFRAUDify aims at businesses that encounter negative impacts from internet organized fraudulent behaviour. The tools will consist of a set of interoperable tools that jointly analyse suspicious behaviour and provide situational awareness.

Cybercrime Fraud Detection
Emmanuele Zambon
Emmanuele Zambon
Assistant Professor

My research interests include Industrial Control System security and network intrusion detection.

Publications

Characterizing Building Automation System Attacks and Attackers
In this work, we present the first collection of publicly disclosed security incidents involving Building Automation Systems (BAS). We then provide a qualitative study of attackers targeting BAS and unveil their main characteristics and differences to traditional CPS attackers. We learn that BAS attackers show a lower sophistication level and that most BAS attacks target the smart IoT components present in modern build- ings. Further, access to the BAS is often not the attacker’s final goal but “just” a mean to achieve their actual goal. Lastly, we do not observe any advanced, state-sponsored BAS attacks hinting that these play less of a role in BAS (compared to CPS).
Martino Tommasini, Martin Rosso, Emmanuele Zambon, Luca Allodi, Jerry den Hartog
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