EU H2020 project

AI4HealthSec

A Dynamic and Self-Organized Artificial Swarm Intelligence Solution for Security and Privacy Threats in Healthcare ICT Infrastructures

The project

Challenges

Over the past decade, the medical field has experienced a massive digitization. The value of personal medical data has increased on the black market and, therefore, adversaries of Health Care Information Infrastructures (HCIIs) are now more numerous and better-skilled.

HCIIs today

are unprotected because they address cybersecurity with individual and isolated products. They need to define a high-level security strategy capable of orchestrating multiple security components to identify system vulnerabilities and sophisticated attacks.

Decomposing

the problem of cybersecurity in the health sector into areas of concern based on the criticality of their assets, will prioritize emerging solutions and decrease its complexity.

EU Health

and cybersecurity experts must coordinate and build together policies and standards that will increase the levels of security maturity across the EU.

Attacks

against the health sector have become highly sophisticated and target not only systems and technical vulnerabilities but also use social engineering to exploit people with insufficient technical background.

Cyber security

solutions in health must have a clear business impact and facilitate new kinds of services, collaborations and market opportunities.

Impact

AI4HEALTHSEC will deliver an Artificial Intelligence Dynamic Situational Awareness Framework (DSAF) able to:

  • improve, intensify and coordinate the overall security efforts for the effective and efficient identification, evaluation, investigation and mitigation of realistic risks, threats and multi-dimensional attacks within the cyber assets.
  • support, prepare and help the Interdependent HCIIs participating in different types of Health Care Supply Chain Services.

The DSAF will support:

  • the HCIIs and the other stakeholders comprising the Health Care ecosystem to recognize, identify, model, and dynamically analyse cyber risks.
  • forecasting, treatment and response to advanced persistent threats and handle daily cyber-security and privacy risks, incidents and data breaches

Objectives

Self-organized Swarm Intelligence (SI) model

Distributed data management and reasoning capabilities

Dynamic Situational Awareness Approach for HCIIs

Validation in real operational environments

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Cover image designed by iuriimotov / Freepik
Background photo created by freepik / Freepik
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