Objective
PROTECTIVE is designed to improve an organisations ongoing awareness of the risk posed to its business by cyber security attacks. PROTECTIVE makes two key contributions to achieve this enhanced situational awareness. Firstly it increases the computer security incident response team’s (CSIRT) threat awareness through improved security monitoring and increased sharing of threat intelligence between organisations within a community. Secondly it ranks critical alerts based on the potential damage the attack can inflict on the threatened assets and hence to the organisations business. High impact alerts that target important hosts will have a higher priority than other alerts. Through the combination of these two measures organisations are better prepared to handle incoming attacks, malware outbreaks and other security problems and to guide the development of the prevention and remediation processes.
The PROTECTIVE system is designed to provide solutions for public domain CSIRTs and SME’s who both have needs outside the mainstream of cyber security solution provision. Public CSIRTs needs arise in part because commercial tools do not address their unique requirements. This has created a shortfall, clearly articulated by ENISA, of tools with the required analytical and visualisation capabilities to enable public CSIRTs provide optimised services to their constituency. SME’s also are vulnerable to cybercrime as they have limited resources to protect themselves and often a limited understanding of what needs to be done. Two pilots will be conducted to evaluate and validate the PROTECTIVE outcomes with CSIRTs from 3 National Research and Educational Networks (NRENs) and with SMEs via a managed security service provider (MSSP).
The PROTECTIVE consortium is constituted of 3 NRENs, 3 academic and four commercial partners from 8 countries so as to maximise the technical and commercial impact of the outputs and the dissemination and uptake of the results.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencescomputer securitymalicious software
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networks
- social sciencessociologygovernancecrisis management
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Programme(s)
Call for proposal
(opens in new window) H2020-DS-2014-2015
See other projects for this callSub call
H2020-DS-2015-1
Funding Scheme
IA - Innovation actionCoordinator
V94 EC5T Limerick
Ireland