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Intelligent Management of Processes, Ethics and Technology for Urban Safety (IMPETUS)

Project
An interconnected city grid of sensors, such as of cameras or environmental sensors, offers a wealth of actionable Big
Data. In addition to better managing traffic and public transit, as well as controlling pollution, they can be used for
enhanced policing, crowd control, and even public sentiment monitoring. However, such smart systems increase the
risk of unethical use of personal data, and increase the attack surface of a city as multiple interconnected IT systems
control key infrastructures such as transport, energy, water distribution, etc.
To address the growing security and ethical threats on smart cities, the project will develop an integrated toolkit that
covers the complete physical and cybersecurity value chain (detection, simulation & analysis, intervention).
The project will enhance the resilience of cities in the face of security events in public spaces, by addressing three
main aspects of urban security in smart cities:
• Technologies: integrating and developing the tools and processes underlying the capacity of cities to manage both
physical security and cyber security, leveraging the power of IoT, Artificial Intelligence and Big Data analysis
• Ethics: ensuring smart city capabilities are developed for the benefit of society, balancing potentially conflicting
needs to collect, transform and share large amounts of data with the protection of data privacy
• Processes: delivering a multi-tenant solution fully aligned with the operational needs of multiple city stakeholders
(e.g. police, first responders, municipalities) supported by a framework gathering deployment guidelines and best
practices
The consortium includes 17 partners from 11 different EU Member States and Associated Countries, including 2
local government authorities (City of Padova and City of Oslo) that will lead the field trial implementations. The
project will also be supported by a Community of Safe and Secure Cities (COSSEC) gathering other cities to provide
feedback.
  • Overview
  • Research Areas
  • Publications

Overview

Contributors

ARDAGNA CLAUDIO AGOSTINO   Scientific Manager  

Departments involved

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Type

H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action

Funder

EUROPEAN COMMISSION
External Organization Funding Organization

Date/time interval

September 1, 2020 - August 31, 2022

Project duration

24 months

Research Areas

Concepts


Settore INF/01 - Informatica

Publications

Outputs (2)

Balancing Protection and Quality in Big Data Analytics Pipelines 
BIG DATA
MARY ANN LIEBERT INC. PUBLISHERS
2024
Academic Article
Reserved Access
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Dynamic and Scalable Enforcement of Access Control Policies for Big Data 
ASSOCIATION FOR COMPUTING MACHINERY
2021
Conference Paper
Partially Open Access
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