OPTIMA
Financiado
Organization sPecific Threat Intelligence Mining and sharing
The OPTIMA project (Organization sPecific Threat Intelligence Mining and sharing) aims to design techniques and tools for the extraction of Threat Intelligence targeted to organizations using ML algorithms, and effectively share a...
The OPTIMA project (Organization sPecific Threat Intelligence Mining and sharing) aims to design techniques and tools for the extraction of Threat Intelligence targeted to organizations using ML algorithms, and effectively share attack records using privacy-preserving methods. The project will use technologies to protect societies from cyber-attacks and sophisticated threats prioritized in the European Council’s New Strategic Agenda. The key beneficiaries of the project are (a) security operation center-to support real time monitoring (b) incident response, threat hunting, fraud detection team-to prioritize risk (c), operational leaders- to prioritize activities of IT staff and (d) Strategic leaders such as Chief Information Security Officers - to make well-informed business decisions. This project will be executed at the University of Padua, under the supervision of Prof. Mauro Conti. The project will investigate solutions for the core questions: RQ1: How effectively can ML algorithms extract organization-specific threat artefacts to be utilized for preparing actionable Threat Intelligence? RQ2: How can organizations share threat intelligence without disclosing their private information to others?
The objectives (SO) of the project are as follows:
1. SO1-To develop techniques for automatic extraction of threat intelligence using OSINT data for diverse IT industries (health care, finance, IoT, education, etc.) using deep learning approaches.
2. SO2-To create a novel automated system to derive Indicator of Compromise (IOC) based on word embedding and syntactic dependencies of words to identify unseen IOCs. Utilizing the extracted IOCs a threat index will be estimated to define the impact of threat and attack trends across individual organizations;
3. SO3-To build a system by integrating cryptographic tools and Federated learning which will enable an organization to anonymously share threat logs with different parties in a privacy-preserving manner
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Duración del proyecto: 28 meses
Fecha Inicio: 2022-07-11
Fecha Fin: 2024-11-30
Fecha Fin: 2024-11-30
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-07-11
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-MSCA-2021-PF-01-01:
MSCA Postdoctoral Fellowships 2021
Cerrada
hace 3 años
Presupuesto
El presupuesto total del proyecto asciende a
189K€
Líder del proyecto
UNIVERSITA DEGLI STUDI DI PADOVA
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
N.D. |
Participante