A semantic element representation model for malicious domain name detection

UMUDGA: A dataset for profiling DGA-based botnet

(2020) Mattia Zago et al.   COMPUTERS & SECURITY

Detecting Word-Based Algorithmically Generated Domains Using Semantic Analysis

(2019) Luhui Yang et al.   Symmetry-Basel

Detection method of domain names generated by DGAs based on semantic representation and deep neural network

(2019) Congyuan Xu et al.   COMPUTERS & SECURITY

DGA Domain Name Classification Method Based on Long Short-Term Memory with Attention Mechanism

(2019) Yanchen Qiao et al.   Applied Sciences-Basel

A LSTM based framework for handling multiclass imbalance in DGA botnet detection

(2018) Duc Tran et al.   NEUROCOMPUTING

Stealthy Domain Generation Algorithms

(2017) Yu Fu et al.   IEEE Transactions on Information Forensics and Security

Malicious Domain Name Detection Based on Extreme Machine Learning

(2017) Yong Shi et al.   NEURAL PROCESSING LETTERS

PsyBoG: A scalable botnet detection method for large-scale DNS traffic

(2016) Jonghoon Kwon et al.   Computer Networks

Scalable analytics to detect DNS misuse for establishing stealthy communication channels

(2016) D. L. Schales et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

A Taxonomy of Domain-Generation Algorithms

(2016) Aditya K. Sood et al.   IEEE SECURITY & PRIVACY

Detecting domain-flux botnet based on DNS traffic features in managed network

(2016) Dinh-Tu Truong et al.   Security and Communication Networks

Exposure

(2014) Leyla Bilge et al.   ACM Transactions on Information and System Security

Unsupervised, low latency anomaly detection of algorithmically generated domain names by generative probabilistic modeling

(2014) Jayaram Raghuram et al.   Journal of Advanced Research

Detecting Algorithmically Generated Domain-Flux Attacks With DNS Traffic Analysis

(2012) Sandeep Yadav et al.   IEEE-ACM TRANSACTIONS ON NETWORKING