A review on lexical based malicious domain name detection methods
Nowadays, domain names are becoming crucial digital assets for any business. However,
the media never stopped reporting phishing and identity theft attacks held by third-party …
the media never stopped reporting phishing and identity theft attacks held by third-party …
Leveraging n-gram neural embeddings to improve deep learning DGA detection
C Morbidoni, L Spalazzi, A Teti… - Proceedings of the 37th …, 2022 - dl.acm.org
Several families of malware are based on the need to establish a connection with a
Command and Control (C&C) server. In addition, to avoid detection, these servers" hide" …
Command and Control (C&C) server. In addition, to avoid detection, these servers" hide" …
Use of subword tokenization for domain generation algorithm classification
SRC Liew, NF Law - Cybersecurity, 2023 - Springer
Abstract Domain name generation algorithm (DGA) classification is an essential but
challenging problem. Both feature-extracting machine learning (ML) methods and deep …
challenging problem. Both feature-extracting machine learning (ML) methods and deep …
Neural networks based domain name generation
Z Wang, Y Guo - Journal of Information Security and Applications, 2021 - Elsevier
Abstract Domain generation algorithm (DGA) is used by botnets to build a stealthy command
and control (C&C) communication channel between the C&C server and the bots. A DGA …
and control (C&C) communication channel between the C&C server and the bots. A DGA …
A word-level analytical approach for identifying malicious domain names caused by dictionary-based DGA malware
A Satoh, Y Fukuda, G Kitagata, Y Nakamura - Electronics, 2021 - mdpi.com
Computer networks are facing serious threats from the emergence of malware with
sophisticated DGAs (Domain Generation Algorithms). This type of DGA malware …
sophisticated DGAs (Domain Generation Algorithms). This type of DGA malware …
Use of supervised machine learning to detect abuse of COVID-19 related domain names
Z Wang - Computers and Electrical Engineering, 2022 - Elsevier
A comprehensive evaluation of supervised machine learning models for COVID-19 related
domain name detection is presented. One representative conventional machine learning …
domain name detection is presented. One representative conventional machine learning …
Detection for domain generation algorithm (DGA) domain botnet based on neural network with multi-head self-attention mechanisms
S Sarojini, S Asha - … Journal of System Assurance Engineering and …, 2022 - Springer
Abstract Domain Generation Algorithm (DGA) serve as variety detection of domain utilized
with malicious into develop random domain as a specific algorithm that accept assignation …
with malicious into develop random domain as a specific algorithm that accept assignation …
Effective DGA-Domain detection and classification with TextCNN and additional features
C Hwang, H Kim, H Lee, T Lee - Electronics, 2020 - mdpi.com
Malicious codes, such as advanced persistent threat (APT) attacks, do not operate
immediately after infecting the system, but after receiving commands from the attacker's …
immediately after infecting the system, but after receiving commands from the attacker's …
DGA botnet detection method based on capsule network and k-means routing
X Liu, J Liu - Neural Computing and Applications, 2022 - Springer
For the current mainstream DGA domain name detection methods, scalars are almost used
to represent numerical features, resulting in the loss of the spatial feature information of …
to represent numerical features, resulting in the loss of the spatial feature information of …
AdamW+: Machine Learning Framework to Detect Domain Generation Algorithms for Malware
Advanced Persistent Threats commonly use Domain Generation Algorithms to evade
advanced detection methods to establish communication with their command and control …
advanced detection methods to establish communication with their command and control …