[HTML][HTML] Identifying malicious accounts in blockchains using domain names and associated temporal properties

RK Sachan, R Agarwal, SK Shukla - Blockchain: Research and …, 2023 - Elsevier
The rise in the adoption of blockchain technology has led to increased illegal activities by
cybercriminals costing billions of dollars. Many machine learning algorithms are applied to …

Detection of DoH tunnelling: Comparing supervised with unsupervised learning

LJW Vries - 2021 - essay.utwente.nl
DNS over HTTPS (DoH) makes browsing the internet more secure and increases the privacy
of users. However, DoH makes it harder for network administrators to keep their networks …

[PDF][PDF] Fast-Flux Malicious Domain Name Detection Method Based on Domain Resolution Spatial Features.

S Chen, B Lang, C Xie - ICISSP, 2023 - scitepress.org
Fast-Flux malicious domain names evade detection by quickly changing the resolved IP
addresses of the domain name, and play an important role in cyberattacks. In order to …

Malicious domain name detection based on Doc2Vec and hybrid network

D Ma, S Zhang, F Kong, Z Fu - IOP Conference Series: Earth and …, 2021 - iopscience.iop.org
In traditional malicious domain name detection algorithms, machine learning detection
methods take a long time to extract features and the extraction methods are more complex; …

Botnet Attack Detection Using A Hybrid Supervised Fast-Flux Killer System

A Al-Nawasrah, A Almomani, HA Al-Issa… - Journal of Web …, 2022 - ieeexplore.ieee.org
A Fast Flux Service Network (FFSN) domain name system method is a technique used on
botnet that bot herders used to support malicious botnet actions to rapidly change the …

An Abnormal Domain Name Generation Method Based on a Character-Level Model

C Wu, J Fei - Proceedings of the 2022 4th International Conference …, 2022 - dl.acm.org
Internet technology develops by leaps and bounds, new types of botnet attacks are
springing up. Currently, most malware are stealthy when implementing attacks since they …

Graph-Based Fast-Flux Domain Detection Using Graph Neural Networks

W Xiong, Y Wang, H Jiang, H Guan - Available at SSRN 4872037 - papers.ssrn.com
Fast-flux domains are frequently exploited by cybercriminals to perform various attacks,
making their detection crucial for maintaining network security. Traditional detection …

Malicious Domain Names Detection by Improved Relief-C5. 0.

MA Donglin, Z Shuhuan… - Journal of Computer …, 2022 - search.ebscohost.com
Aiming at the problems of the high computational complexity, low real-time performance,
and low accuracy of classification models in the current malicious domain name detection …