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 …

[PDF][PDF] Research Article Blockchain Integrated with Principal Component Analysis: A Solution to Smart Security against Cyber-Attacks

S Sanober, M Aldawsari, AD Karimovna, I Ofori - 2022 - academia.edu
Digitalization of financial institutes, industries, and organizations to provide fast online
services needs a large number of Internet connections and different types of networks. e …

Malware detection in blockchain using CNN

A Alam, H Islam, SA Wamim, MT Ahmed, H Siddiqi - 2021 - dspace.bracu.ac.bd
The inherent decentralized nature and peer-to-peer system of the blockchain's popularity
has been on the rise in recent times and is being adopted in various innovative applications …

[Retracted] Blockchain Integrated with Principal Component Analysis: A Solution to Smart Security against Cyber‐Attacks

S Sanober, M Aldawsari… - Security and …, 2022 - Wiley Online Library
Digitalization of financial institutes, industries, and organizations to provide fast online
services needs a large number of Internet connections and different types of networks. The …

Design of Blockchain enabled intrusion detection model for detecting security attacks using deep learning

D Saveetha, G Maragatham - Pattern Recognition Letters, 2022 - Elsevier
Cyber-attacks are getting more sophisticated and nuanced. Intrusion Detection Systems
(IDSs) are commonly used in a variety of networks to assist in the timely detection of …

Machine learning and blockchain integration for security applications

A Bhandari, AK Cherukuri… - Big Data Analytics and …, 2023 - taylorfrancis.com
The modern world is connected by technology, with endless end devices, servers,
infrastructures, and other resources creating a complex and interesting cyber landscape …

[PDF][PDF] Review of deployment of machine learning in blockchain methodology

S Solanki, AD Solanki - International Research Journal on …, 2020 - rspsciencehub.com
The evolution of blockchain methodology has been a remarkable, highly transformative and
trend-setting platform in current years. BT's accessible platform reinforces data protection …

Efficient blockchain addresses classification through cascading ensemble learning approach

R Saxena, D Arora, V Nagar - International Journal of …, 2023 - inderscienceonline.com
Bitcoin is a pseudonymous, decentralised cryptocurrency that has become one of the most
widely utilised digital assets to date. Because of its uncontrolled nature and Bitcoin users' …

A survey of intrusion detection techniques

DH Lakshminarayana, J Philips… - 2019 18th IEEE …, 2019 - ieeexplore.ieee.org
With the growing rate of cyber attacks, there is a significant need for intrusion detection
systems (IDS) in networked environments. As intrusion tactics become more sophisticated …

Effectiveness of Machine and Deep Learning for Blockchain Technology in Fraud Detection and Prevention

Y Kumar, S Gupta - Applications of Artificial Intelligence, Big Data …, 2022 - taylorfrancis.com
Blockchain was formerly originated to prevent fraud in digital currency exchanges.
Blockchain refers to a decentralized collective ledger that is unaffected by tinkering; it …