A Detection Method Against Selfish Mining-Like Attacks Based on Ensemble Deep Learning in IoT-Reference-Cited by-同舟云学术

A Detection Method Against Selfish Mining-Like Attacks Based on Ensemble Deep Learning in IoT

Published:2024-06-01 Issue:11 Volume:11 Page:19564-19574
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Yilei¹^ORCID,Li Chunmei¹^ORCID,Zhang Yiting¹^ORCID,Li Tao¹,Ning Jianting²^ORCID,Gai Keke³^ORCID,Choo Kim-Kwang Raymond⁴^ORCID

Affiliation:

1. School of Computer Science, Qufu Normal University, Rizhao, China

2. Fujian Provincial Key Laboratory of Network Security and Cryptology, College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China

3. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

4. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

Funder

Foundation of National Natural Science Foundation of China

Guangxi Key Laboratory of Cryptography and Information Security

Cloud Technology Endowed Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10536937/10440450.pdf?arnumber=10440450

Reference43 articles.

1. Stable Device Pairing for Collaborative Data Dissemination With Device-to-Device Communications

2. A Bidirectional Relay-Assisted Underlay Device-to-Device Communication in Cellular Networks: An IoT Application for FinTech

3. Lightweight Cryptographic Protocols for IoT-Constrained Devices: A Survey

4. Optimal Selfish Mining Strategies in Bitcoin

5. When blockchain meets AI: Optimal mining strategy achieved by machine learning

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