Project description
Unparalleled cyber attack detection protects against rapidly evolving threats
The Luxembourg-based SME L7 Defense provides Distributed denial-of-service (DDoS) mitigation for the smart grid as part of a package of tools in the Energy Shield project. The Ammune tool has been extended to consider smart meter botnets and attacks using the AMI as a vector. In parallel, the FC-DDoS analytical model has been developed to better understand attack parameters and to explore compromise dynamics unique to the smart grid context. Both were explored using expanded network simulations for testing and validation, and the results generated have verified the effectiveness of the approach. Meanwhile, the DDoS mitigation has been successfully integrated with the security information and event management, SIEM, and other tools for collaborative protection. Following this integration and the enhancements made to Ammune in the EU-funded Ammune project, the DDoSM tool was finalised and is ready to deploy in the smart grid environments.
Objective
                                Distributed Denial of Service (DDoS) attacks are a serious threat to many businesses which rely on constant availability of their network services. Some of the most vicious DDoS attacks occur at the application-layer as these are very hard to defend against because of the many different ways in which hackers may strike. In attack prevention, it is crucial to automatically distinguish between legitimate and malicious traffic. Our Ammune solution outperforms all other state-of-the-art competitors by using highly adaptive artificial intelligence algorithms. It is able to detect previously unknown attack types in real time, with very low rates of errors, for low bandwidth to very high bandwidth attacks.
The DDoS defence solution market is estimated at €1.4Bn currently growing at a CAGR of 23%  and expected to grow faster in the wake of the increasing attacks. Ammune has already been successfully trialled at two sites (Israeli government ISP and InterUniversity Computation Center) where it detected advanced DDoS attacks which were not found by any of the existing defence systems deployed at the sites. Following these early successes, L7Defense is in discussion with a number of beta customers in Europe, USA and Australia for initial pilots (see section 4) and has been invited by the Luxembourg government to deploy Ammune technology in their data centers, as part of the effort of improving its cyberdefence infrastructure. This led the Luxembourg Innovation agency to select us in their Fit4Start programme to support the development, pilot sales and commercialization.
L7Defense currently has and has raised 850k Euros from private investors. The phase 1 project will confirm the market interest in 3 specific customer segments by interviewing 25 companies and recruiting 5 early adopters for phase 2 trials.
                            
                                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 internet internet of things
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences computer security
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            Programme(s)
            
              
              
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                      Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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                  H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
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                  H2020-EU.3. - PRIORITY 'Societal challenges
                                    
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                  H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
                                    
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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.
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                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.
SME-1 - SME instrument phase 1
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                Call for proposal
                
                  
                  
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                              Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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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.
1611 Luxembourg
Luxembourg
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.
 
           
        