Personal and machine-generated data: impact on privacy and security
Room 0.94-0.95, 04/12/2018 (17:00-17:45)
Data is a driving force towards the digitisation of the industry in terms of intelligent decisions to automate the industrial processes and for offering more personalised services to citizens. The development of data-driven business models across value chains and beyond organisational boundaries is crucial to significantly maximise the impact of the Data Economy. In this way, Data Sovereignty is an emerging important concept where personal data from several sources are merged, while always allowing the Data owner to keep control over their own data, be it by partial anonymization, secure protocols or smart contracts. The problem of Data Sovereignty as a whole cannot be solved by considering separately technologies relevant to Cybersecurity and the ones relevant to Big Data, having large impact on the way Personal and Industrial data spaces are managed, and sensitive data are processed. How to deal properly with personal data and machine-generated data is a non-completely solved question. In addition to this, industry needs to cope with several mandatory regulatory requirements calling for info-sharing. This session, jointly organized by the European Cyber Security Organization (ECSO) and the Big Data Value PPP, will reflect about the main obstacles to overcome to enjoy a real and effective sharing of these sensitive types of data, focusing on the aspects of privacy and security, in addition to regulations’ compliance.
Organised by: Daniel ALONSO (Instituto Tecnológico de Informática (ITI), BDVe project, Spain)
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