Project description
Tools for malware detection to enhance European cybersecurity
The rise of new malicious software has increased the frequency of cyberattacks. Emerging attack vectors and advanced encryption methods have rendered many attacks undetectable by traditional security measures. Without comprehensive cybersecurity solutions, the lives, well-being, finances, and assets of citizens are at risk. The EU-funded PERUN project will strengthen European cybersecurity by leveraging AI and machine learning to analyse and counter new cyber threats targeting software, firmware, and hardware effectively. The project will develop advanced tools and algorithms for malware detection and analysis, focusing on digital infrastructures, including national cybersecurity systems, education networks, critical energy infrastructures, NGOs providing essential services, and security operations centres across various sectors.
Objective
More than ever, Europe needs cybersecurity. With the constant development of new malicious software, cyberattacks have been on the rise. Due to new attack vectors and encryption, novel attacks are undetectable to humans and simple rules and signatures. Without holistic and interdisciplinary cybersecurity solutions, the citizens’ lives, well-being, money and other assets are at risk.
The PERUN project will strengthen the European cybersecurity by providing novel solutions powered by artificial intelligence and machine learning, to analyse and counter emerging cyberthreats to software, firmware and hardware in an efficient and cost-effective way.
The PERUN project aims to enhance the security and resilience of digital infrastructures - national-level cybersecurity infrastructures, education and research networks, critical energy infrastructures, digital infrastructures of NGOs providing critical services and security operations centers (SOCs) across various sectors - by developing advanced cybersecurity solutions that leverage AI/ML technologies.
To this end, PERUN will produce a set of innovative methods and algorithms to analyse data and detect new types of malware, as well as a collection of high TRL tools and products using new scientific approaches, all validated by representatives of the critical sectors. The results will be communicated and disseminated, not only to reach a broad range of stakeholders, but also to raise public awareness of cyberthreats.
The tangible results of PERUN will be applied in five real-life scenarios pertaining to critical sectors such as nonprofits, energy, telecommunications, private SOCs and CERTs/CSIRTs. Owing to their high TRL and versatility, they will be an instant boost to Europe’s cybersecurity, whilst increasing its strategic autonomy and technological advantage.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences computer security malicious software
- social sciences political sciences political policies civil society civil society organisations nongovernmental organizations
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.3 - Civil Security for Society
MAIN PROGRAMME
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HORIZON.2.3.3 - Cybersecurity
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-IA - HORIZON Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL3-2024-CS-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
58097 Hagen
Germany
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Participants (15)
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61-612 Poznan
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010362 Bucuresti
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75015 Paris
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00185 Roma
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46013 Valencia
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The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75008 Paris
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20009 Donostia San Sebastian
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The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
3000 Leuven
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01-045 WARSZAWA
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44795 Bochum
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
09134 CAGLIARI
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
00-661 Warszawa
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061103 BUCURESTI
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92190 MEUDON
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92230 Gennevilliers
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Partners (2)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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1202 GENEVE
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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6826 Riva San Vitale
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