Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration-Reference-Cited by-同舟云学术

Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration

Published:2024-02 Issue:2 Volume:36 Page:101939
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Nazir Ahsan^ORCID,He Jingsha^ORCID,Zhu Nafei^ORCID,Wajahat Ahsan^ORCID,Ullah Faheem,Qureshi Sirajuddin^ORCID,Ma Xiangjun,Pathan Muhammad Salman^ORCID

Funder

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Reference47 articles.

1. Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets;Ahsan;J. King Saud Univ. Comput. Inf. Sci.,2023

2. Securing electronic health records (EHR) from tampering using blockchain;Al-Omrani,2023

3. Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT);Ali;Electronics,2022

4. Blockchain-based Lamport Merkle digital signature: authentication tool in IoT healthcare;Alzubi;Comput. Commun.,2021

5. Toward smart and secure IoT based healthcare system;Ambarkar,2020

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1. Security Principles in Smart and Agile Cybersecurity for IoT and IIoT Environments;Advances in Information Security, Privacy, and Ethics;2024-06-30

2. Advancements and Applications of Blockchain Technology in Diverse Domains: A Literature Review;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11

3. Enhancing IoT security: a collaborative framework integrating federated learning, dense neural networks, and blockchain;Cluster Computing;2024-04-10

4. Blockchain user digital identity big data and information security process protection based on network trust;Journal of King Saud University - Computer and Information Sciences;2024-04

5. Ensemble Learning Techniques for the Detection of IoT Botnets;Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy;2024-03