Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning

Scalable detection of botnets based on DGA

(2019) Mattia Zago et al.   SOFT COMPUTING

A Survey on Malicious Domains Detection through DNS Data Analysis

(2018) Yury Zhauniarovich et al.   ACM COMPUTING SURVEYS

Evaluating deep learning approaches to characterize and classify the DGAs at scale

(2018) R. Vinayakumar et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Detecting malicious domain names using deep learning approaches at scale

(2018) R. Vinayakumar et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

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

(2018) Duc Tran et al.   NEUROCOMPUTING

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

(2018) Battista Biggio et al.   PATTERN RECOGNITION

Stealthy Domain Generation Algorithms

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

A Taxonomy of Domain-Generation Algorithms

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Measuring the global domain name system

(2013) E. Casalicchio et al.   IEEE NETWORK

Botnets: A survey

(2012) Sérgio S.C. Silva et al.   Computer Networks

Detecting Algorithmically Generated Domain-Flux Attacks With DNS Traffic Analysis

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

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT