BlockFAD: A Federated Learning Based I/O Anomaly Detection Method for Blockchain Domain Name System

Wang, Haotian; Zheng, Dongyi; Liu, Fang; Xiao, Nong

doi:10.1007/978-3-031-06767-9_55

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…Blockchain domain name service is difficult to address because of the inherent challenges, high data, and lack of labels. Integrating Blockchain with FL 75 is an excellent choice to find anomalies in Blockchain domain name service. The Blockchain with an FL‐based system ensures the security model transfer and data storage.…”

Section: Anomaly Detection Using Integration Of Artificial Intelligen...mentioning

confidence: 99%

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

Chithanuru

Ramaiah

2023

Concurrency and Computation

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SummaryRecently, Blockchain cryptographic distributed transaction ledger technology finds its usage in many applications. The application's ledgers implemented through Blockchain, ensures tamper‐proof transactions, and in turn the applications became robust enough against cyber‐attack But still adversaries put forward their efforts in detecting the vulnerabilities in the infrastructure to execute their ill intent. In the literature, many counter measures techniques are presented to address the security breaches on the Blockchain. Detecting as well mitigating from the possible anomalies against on blockchain infrastructure through AI techniques is the greatest attempt of this article, and which is much needed now. Hence, this review article enlightens the readers with the essence of cyber security, the security aspects of Blockchain, its infrastructure vulnerabilities, various Blockchain‐enabled use cases along with the their challenges. Primarily, anomaly detection on Blockchain infrastructure through Artificial Intelligence Techniques is focused. A detailed analysis of Artificial Intelligence Techniques in detecting the anomalies with the help of Blockchain and also how these two technologies complement each other was demonstrated with the help of suitable use cases. The merits, challenges along with the possible future directions, while integrating Blockchain with Artificial Intelligence Techniques are presented for the benefit of research community.

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Section: Anomaly Detection Using Integration Of Artificial Intelligen...mentioning

confidence: 99%

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

Chithanuru

Ramaiah

2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

BlockFAD: A Federated Learning Based I/O Anomaly Detection Method for Blockchain Domain Name System

Cited by 1 publication

References 7 publications

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A review

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