RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT-Reference-Cited by-同舟云学术

RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT

Published:2024 Issue: Volume:19 Page:5520-5529
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Huertas Celdrán Alberto¹^ORCID,Miguel Sánchez Sánchez Pedro²^ORCID,von der Assen Jan¹,Schenk Timo¹,Bovet Gérôme³^ORCID,Martínez Pérez Gregorio²^ORCID,Stiller Burkhard¹^ORCID

Affiliation:

1. Department of Informatics (IfI), Communication Systems Group (CSG), University of Zurich (UZH), Zürich, Switzerland

2. Department of Information and Communications Engineering, University of Murcia, Murcia, Spain

3. Cyber-Defence Campus, armasuisse Science & Technology, Thun, Switzerland

Funder

Swiss Federal Office for Defense Procurement (armasuisse) with the CyberForce and DEFENDIS Project

University of Zürich

Strategic Project DEFENDER from Spanish National Institute of Cybersecurity

Recovery, Transformation and Resilience Plan, Next Generation EU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10531280.pdf?arnumber=10531280

Reference26 articles.

1. State and Trends of IoT Security: Unequivocal Appeal to Cybercriminals, Onerous to Defenders

2. Foundations and applications of artificial Intelligence for zero-day and multi-step attack detection

3. Moving target defense: state of the art and characteristics

4. MTD, Where Art Thou? A Systematic Review of Moving Target Defense Techniques for IoT

5. Intelligent and behavioral-based detection of malware in IoT spectrum sensors

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