Feature Engineering for Anomaly Detection and Classification of Blockchain Transactions

S Jeyakumar, E Yugarajah, A Charles, P Rathore… - Authorea …, 2023 - techrxiv.org
The study analysed the importance of blockchain transaction features to identify suspicious
activities. The feature engineering process involves exploiting domain knowledge, applying …

[PDF][PDF] Feature Engineering for Anomaly Detection and Classification of Blockchain Transactions

JS Tharani, Z Hóu, EYA Charles, P Rathore… - techrxiv.figshare.com
Blockchain technology has found a wide range of applications in various sectors, such as
finance, supply chain, health, and governance. However, the cyber-attacks in blockchain …

Unified Feature Engineering for Detection of Malicious Entities in Blockchain Networks

JS Tharani, Z Hóu, EYA Charles… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Blockchain technology has been integrated into a wide range of applications in various
sectors, such as finance, supply chain, health, and governance. However, the participation …

[HTML][HTML] Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis

M Hasan, MS Rahman, H Janicke, IH Sarker - Blockchain: Research and …, 2024 - Elsevier
As the use of Blockchain for digital payments continues to rise in popularity, it also becomes
susceptible to various malicious attacks. Successfully detecting anomalies within Blockchain …

An Ensemble Learning Approach for Classifying Illicit Transactions in Bitcoin

A Suri, M Rathore, D Kumar… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Bitcoin has become a popular method for illegal transactions, such as ransomware
payments and money laundering. Detecting these activities within the Bitcoin blockchain is …

Anomaly detection and analysis in blockchain systems

P Singh, D Agrawal, S Pandey - 2023 - researchsquare.com
For a long time, anomaly detection is such a well topic. Its use in the banking industry has
aided in the detection of questionable hacking activity. In the network of bitcoin, since all …

Identification of Illicit Blockchain Transactions Using Hyperparameters Auto-tuning

E Zanardo, GP Domiziani, E Iosif… - Principles and Practice of …, 2022 - Springer
The rapid increase in interest in cryptocurrencies has elevated the importance of developing
trusted methods for combating the field's numerous illegal activities. The advantage of …

Anomaly detection in blockchain

O Shafiq - 2019 - trepo.tuni.fi
Anomaly detection has been a well-studied area for a long time. Its applications in the
financial sector have aided in identifying suspicious activities of hackers. However, with the …

Anomaly detection in blockchain using network representation and machine learning

K Martin, M Rahouti, M Ayyash… - Security and Privacy, 2022 - Wiley Online Library
The vast majority of digital currency transactions rely on a blockchain framework to ensure
quick and accurate execution. As such, understanding how a blockchain works is vital to …

Comparative Study Analysis of MachineLearning Algorithms for Anomaly Detection in Blockchain

R Saravanan, S Santhiya, K Shalini… - 2023 International …, 2023 - ieeexplore.ieee.org
Anomaly detection is one of the challenging problems encountered by the modern network
security industry. In these last years, Blockchain technologies have been widely used in …