[HTML][HTML] Long-Range attack detection on permissionless blockchains using Deep Learning

O Sanda, M Pavlidis, S Seraj, N Polatidis - Expert Systems with Applications, 2023 - Elsevier
Blockchain has been viewed as a breakthrough and an innovative technology due to its
privacy, security, immutability, and data integrity characteristics. The consensus layer of the …

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

K Venkatesan, SB Rahayu - Scientific Reports, 2024 - nature.com
In this paper, we propose hybrid consensus algorithms that combine machine learning (ML)
techniques to address the challenges and vulnerabilities in blockchain networks …

Ensuring security in edge computing through effective blockchain node detection

S Wang, Z Liu, H Wang, J Wang - Journal of Cloud Computing, 2023 - Springer
The rapid development of blockchain technology has garnered increasing attention,
particularly in the field of edge computing. It has become a significant subject of research in …

Bchainguard: a new framework for cyberthreats detection in blockchain using machine learning

S Aladhadh, H Alwabli, T Moulahi, M Al Asqah - Applied Sciences, 2022 - mdpi.com
Recently, blockchain technology has appeared as a powerful decentralized tool for data
integrity protection. The use of smart contracts in blockchain helped to provide a secure …

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

V Chithanuru, M Ramaiah - Concurrency and Computation …, 2023 - Wiley Online Library
Recently, Blockchain cryptographic distributed transaction ledger technology finds its usage
in many applications. The application's ledgers implemented through Blockchain, ensures …

Detecting insider attacks in blockchain networks

O Ajayi, T Saadawi - 2021 International Symposium on …, 2021 - ieeexplore.ieee.org
Blockchain technology has recently gained high popularity in data security, primarily to
mitigate against data breach and manipulation. Since its inception in 2008, it has been …

Fraud Detection and Prevention in Blockchain Systems Using Machine Learning

BY Kasula - International Meridian Journal, 2020 - meridianjournal.in
Fraudulent activities pose a significant challenge in the realm of blockchain systems,
undermining their inherent trust and security. This research explores the integration of …

Blockchain security threats and collaborative defense: A literature review

X Li, J Cheng, Z Shi, J Liu, B Zhang, X Xu, X Tang… - 2023 - ttu-ir.tdl.org
As a distributed database, the system security of the blockchain is of great significance to
prevent tampering, protect privacy, prevent double spending, and improve credibility. Due to …

A proof of work: Securing majority-attack in blockchain using machine learning and algorithmic game theory

S Dey - International Journal of Wireless and Microwave …, 2018 - repository.essex.ac.uk
Blockchain's vast applications in different industries have drawn several researchers to
pursue extensive research in securing blockchain technologies. In recent times we could …

Are blockchains immune to all malicious attacks?

JJ Xu - Financial Innovation, 2016 - Springer
Background In recent years, blockchain technology has attracted considerable attention. It
records cryptographic transactions in a public ledger that is difficult to alter and compromise …