[HTML][HTML] Identifying malicious accounts in blockchains using domain names and associated temporal properties
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 …
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 …
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 …
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; …
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 …
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 …
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 …
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 …
and low accuracy of classification models in the current malicious domain name detection …