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Algorithmic Containment of Threats in Graphs, Networks or Webs

Objective

The project is about the security of networks, and how to select the best containing actions to perform when a network is threatened. Network security is a major concern for Europe in the guise of at least three threats: attacks on computer networks and related infrastructure; diseases spreading in networks consisting of people, livestock, crops or wildlife; and the spread of fires in forests or buildings. The project brings together an experienced researcher with a successful track record in “the firefighter problem” (which models the general network security problem), a supervisor with complementary expertise and world-leading research record in multi-objective optimization, a host organization with expertise and leading research groups in (i) Security, (ii) Randomized, heuristic optimization (from theory to industrial exploitation) and (iii) Human-Computer Interaction. Two non-academic secondment partners strengthen this team still further, bringing in industry-scale optimization experience (Noesis Solutions), and a long track record of advising for fire safety to major infrastructure projects including to the military (Lee Anderson). The experienced researcher will use the training and mobility afforded by this complementary partnership to further the impact of his research on European security, benefit from skills training in industrial exploitation and on offering policy advice, and learn a range of additional academic and non-academic skills from participating in the training of young researchers. Scientific results of the project include new, effective computational methods achieving better results in practical applications mentioned above. Theoretical understanding of spreading emergencies in graphs will be useful in fundamental research in other fields, for example, in medicine in research aimed at utilizing the knowledge about contacts in the population for understanding how disease traits (such as the transmission rate and the infectious period) evolve.

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.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2015

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Coordinator

THE UNIVERSITY OF BIRMINGHAM
Net EU contribution

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.

€ 183 454,80
Address
Edgbaston
B15 2TT Birmingham
United Kingdom

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Region
West Midlands (England) West Midlands Birmingham
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 183 454,80
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