Deep Reinforcement Learning Aided Device Profiling for Anomaly Detection in IIoT Over Zero Trust Security Network-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Aided Device Profiling for Anomaly Detection in IIoT Over Zero Trust Security Network

Published:2023-12-04 Issue: Volume:23 Page:1-5
ISSN:
Container-title:2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
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Author:

Singh Anamika¹,Dhanaraj Rajesh Kumar²,Hsu Ching-Hsien³,Sharma Anupam Kumar¹,Kumar Pardeep⁴

Affiliation:

1. School of Computing Science and Engineering, Galgotias University,Greater Noida,U.P,India

2. Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University),Pune,India

3. Asia University,Dept. Computer Science and Information Engineering,Taiwan

4. Manav Rachna International Institute of Research and Studies,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10487636/10487139/10487721.pdf?arnumber=10487721

Reference21 articles.

1. Consistent Round Hash optimized SRP-6a-based end-to-end mutual authentication for secure data transfer in industry 4.0

2. The “Cyber Security via Determinism” Paradigm for a Quantum Safe Zero Trust Deterministic Internet of Things (IoT)

3. Explainable Artificial Intelligence, the Fourth Pillar of Zero Trust Security;Blessing Guembe,2022

4. Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification

5. Towards Zero-trust Security for the Metaverse;Ruizhi Cheng;Cryptography and Security,2023

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