A deep reinforcement learning approach for security-aware service acquisition in IoT-Reference-Cited by-同舟云学术

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A deep reinforcement learning approach for security-aware service acquisition in IoT

Published:2024-09 Issue: Volume:85 Page:103856
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Arazzi Marco^ORCID,Nicolazzo Serena^ORCID,Nocera Antonino^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. H2o: secure interactions in iot via behavioral fingerprinting;Ferretti;Future Internet,2021

2. Iot privacy and security: Challenges and solutions;Tawalbeh;Appl Sci,2020

3. A novel iot trust model leveraging fully distributed behavioral fingerprinting and secure delegation;Arazzi;Pervasive Mob Comput,2024

4. A fully privacy-preserving solution for anomaly detection in iot using federated learning and homomorphic encryption;Arazzi;Inf Syst Front,2023

5. Putting the privacy paradox to the test: Online privacy and security behaviors among users with technical knowledge, privacy awareness, and financial resources;Barth;Telemat Inform,2019

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