AI Attack and Defense for the Smart Healthcare

Project Information

ANTIDOTE

Grant agreement ID: 101183162

DOI

10.3030/101183162

EC signature date 21 November 2024

Start date 1 January 2025

End date 31 December 2028

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 1 600 800,00

Coordinated by

UNIVERSITY OF PIRAEUS RESEARCH CENTER
Greece

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Attack exploration and Adversarial AI Threat model for Smart Healthcare

This deliverable will identify attack examples of AI models applied in cybersecurity and design the adversarial AI threat model that will also include possible countermeasures against the identified threats.

ANTIDOTE Requirements & Reference Architecture

This deliverable will provide the specification of the ANTIDOTE reference architecture, the functional requirements provide an analysis and point of reference for the ANTIDOTE in relation to the two specific use cases.

Data Management Plan (1)

Quality Assurance and Data Management Plan

It will describe the project quality plan and the data management plan, and gender equality plan.

Publications

Peer reviewed articles (5)

Testing the limits: exploring adversarial techniques in AI models

Author(s): Apostolis Zarras, Athanasia Kollarou, Aristeidis Farao, Panagiotis Bountakas, Christos Xenakis
Published in: PeerJ Computer Science, Issue 11, 2025, ISSN 2376-5992
Publisher: PeerJ
DOI: 10.7717/PEERJ-CS.3330

A comprehensive survey of cybersecurity techniques based on quality of service (QoS) on the Internet of Things (IoT)

Author(s): Sefati, Seyed Salar; Arasteh, Bahman; Simona Viorica, HALUNGA; Fratu, Octavian
Published in: Cluster Computing, 2025
Publisher: SPRINGER NATURE
DOI: 10.1007/S10586-025-05449-Z

A Bedbug Optimization-Based Machine Learning Framework for Software Fault Prediction

Author(s): Arasteh, Bahman; Sefati, Seyed Salar; POPOVICI, Eduard Cristian; Ince, Ibrahim Furkan; Kiani, Farzad
Published in: Mathematics, 2025
Publisher: MDPI
DOI: 10.3390/MATH13213531

Unleashing the Power of Wireless Communication in Healthcare by Empowering Patient Care and Connectivity: A Comprehensive Survey

Author(s): Urvashi Chaudhary, Mohammad Furqan Ali, Ambrish Kumar, Abhishek Sharma, Dushantha K. Nalin Jayakody
Published in: IEEE Access, Issue 13, 2025, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3578344

SSLA: a semi-supervised framework for real-time injection detection and anomaly monitoring in cloud-based web applications with real-world implementation and evaluation

Author(s): Seyed Salar Sefati, Bahman Arasteh, Octavian Fratu, Simona Halunga
Published in: Journal of Cloud Computing, Issue 14, 2025, ISSN 2192-113X
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S13677-025-00765-6

Conference proceedings (1)

Red vs. Blue Team Training Scenarios for 5G/6G Networks

Author(s): Stylianos Karagiannis, Antonios Kasotakis, Emmanouil Magkos, Christoforos Ntantogian
Published in: Lecture Notes in Computer Science, Availability, Reliability and Security, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-00642-4_3