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Applying Machine Learning to Cyber Risk Analysis and Mitigation

Total Cost €


EC-Contrib. €






 MALAGA project word cloud

Explore the words cloud of the MALAGA project. It provides you a very rough idea of what is the project "MALAGA" about.

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Project "MALAGA" data sheet

The following table provides information about the project.


Organization address
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contact info
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 Coordinator Country Ireland [IE]
 Total cost 196˙590 €
 EC max contribution 196˙590 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2021-10-06


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF LIMERICK IE (LIMERICK) coordinator 196˙590.00


 Project objective

Increasing connectivity and automation presents many opportunities and challenges for society. Emerging technology can benefit all citizens with better communication, increased environmental sustainability, autonomous transport, safer roads,, the list is almost inexhaustible. These emerging technologies will disrupt existing business models including underwriting and risk transfer. This disruption can stifle venture capital, innovation and risk taking in key emerging technologies and can inhibit regulatory development and societal acceptance.

My research will examine Connected and Autonomous Vehicles (CAV) cybersecurity risks and mitigation using Machine Learning (ML) techniques to predict future risks, price insurance policies and and thereby foster innovation and entrepreneurial activity in Europe. My research will go beyond the SoA and implement models in ML like ensemble models and deep learning to forecast the risks of CAV technology. A network model of interactions will be trained and evaluated to study cascading of risks and threats in the CAV environment.

My host team at the University of Limerick have members with machine learning skills, actuarial skills, ethical skills and underwriting experience. I will have access to staff development programmes, training courses, workshops, online courses and internal meetings. My host team are directly connected to a large variety of colleagues in other EU locations in both academic and industry positions. I will work with my host and partners to develop my research and increase my skillsets.

My research directly contributes to several UN sustainable development goals. On a personal level, the impact of my fellowship and collaborations will expand my set of skills, both research-related and transferable ones, leading to greatly improved career prospects both in and outside academia. My new abilities will include enhanced machine learning capabilities, cyber risk expertise and risk engineering skills.

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The information about "MALAGA" are provided by the European Opendata Portal: CORDIS opendata.

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