Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Self Learning Attack surface Explorer

Projekt: ForschungResearch

Projektdetails

Goal of the project

This project will develop a self-learning agent based on Deep Reinforcement Learning (DRL) to explore the attack surface of a virtual machine (VM). The project tests the possibility to discover new zero-day vulnerabilities in IT systems, with the aid of deep learning artificial intelligence (AI).

Role of the organisation

The Cyber Defense research unit (CyLab) of the Royal Military Academy has been active in the domain of cyber security for more than 10 years. A vast experience has been acquired through different studies and projects.

Funding acknowledgement

The project DAP/23-05 - SLATE is financed under the DFR call.
KurztitelSelf Learning Attack surface Explorer
AkronymSLATE
StatusLaufend
Tatsächlicher Beginn/ -es Ende11/09/2310/09/27

Fingerprint

Erkunden Sie die Forschungsthemen, die von diesem Projekt angesprochen werden. Diese Bezeichnungen werden den ihnen zugrunde liegenden Bewilligungen/Fördermitteln entsprechend generiert. Zusammen bilden sie einen einzigartigen Fingerprint.