The malicious resource consumption detection in permissioned blockchain based on traffic analysis

Q Zhou, Q Ruan, D Huo, P Lv… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Blockchain is widely applied in many applications. However, it faces many security risks.
Unlike external attacks, the evildoing of internal members need more attentions in …

A machine learning approach to anomaly detection based on traffic monitoring for secure blockchain networking

J Kim, M Nakashima, W Fan, S Wuthier… - … on Network and …, 2022 - ieeexplore.ieee.org
While blockchain technology provides strong cryptographic protection on the ledger and the
system operations, the underlying blockchain networking remains vulnerable due to …

[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 …

AI-Enabled Abnormal Behavior Detection and Visualization Technology on Blockchain Network

BS Seo, JM Baek, KM Ko - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Blockchain is a technology that ensures integrity, transparency, and reliability of transactions
without a centralized server by jointly verifying, recording, and storing transaction …

ChainDetector: Identifying Anonymous Blockchain Traffic

SP Li, Y Xie, XY Ding, X Yang - … of the 2023 International Conference on …, 2023 - dl.acm.org
Blockchain is promised for a wide range of applications in fields such as the Internet of
Things and cryptocurrencies. Properly utilized, blockchain technology can play a positive …

LogBlock: An Anomaly Detection Method on Permissioned Blockchain based on Log-Block Sequence

Q Zhou, X Dang, D Huo, Q Ruan, C Li… - … Digital Twin, Privacy …, 2022 - ieeexplore.ieee.org
As a popular trust infrastructure, the blockchain is applied in many fields. However, it faces
many security problems. Anomaly detection can find operation anomalies including attacks …

A Survey on Security Attacks on Blockchain Using Deep Learning

M Pandita, DH Patil, S Raina, M Malve… - … on Blockchain and …, 2023 - ieeexplore.ieee.org
Securing decentralized networks becomes crucial as blockchain technology grows more
popular. This study suggests a system for intrusion detection that combines blockchain …

A preventive intrusion detection architecture using adaptive blockchain method

P Sharma, R Jindal, MD Borah - … 2019, Silchar, India, December 16–19 …, 2020 - Springer
This paper presents a network intrusion behavior detection utilizing an adaptive blockchain
mechanism. A Layered Voting Rule System (LVRS) is introduced, which contains a positive …

Fraud detection in blockchains using machine learning

B Kılıc, A Sen, C Özturan - 2022 Fourth International …, 2022 - ieeexplore.ieee.org
Crypto crimes peaked in 2021, and recent years have shown that blockchain is not going to
die but will stay with us. In addition, blockchain transaction throughputs are expected to rise …

[HTML][HTML] 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 …