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DeepDGA: Adversarially-Tuned Domain Generation and Detection

DeepDGA: Adversarially-Tuned Domain Generation and Detection

6 October 2016
Hyrum S. Anderson
Jonathan Woodbridge
Bobby Filar
    AAML
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Papers citing "DeepDGA: Adversarially-Tuned Domain Generation and Detection"

18 / 18 papers shown
Title
Frontier AI's Impact on the Cybersecurity Landscape
Frontier AI's Impact on the Cybersecurity Landscape
Wenbo Guo
Yujin Potter
Tianneng Shi
Zhun Wang
Andy Zhang
Dawn Song
60
2
0
07 Apr 2025
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
Dipo Dunsin
M. C. Ghanem
Karim Ouazzane
Vassil T. Vassilev
57
4
0
08 Jan 2025
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current
  Methods, Challenges, and Opportunities
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane
Jesse Ables
William Anderson
Sudip Mittal
Shahram Rahimi
I. Banicescu
Maria Seale
AAML
61
71
0
13 Jul 2022
AI Total: Analyzing Security ML Models with Imperfect Data in Production
AI Total: Analyzing Security ML Models with Imperfect Data in Production
Awalin Sopan
Konstantin Berlin
26
2
0
13 Oct 2021
Cyber-Security Challenges in Aviation Industry: A Review of Current and
  Future Trends
Cyber-Security Challenges in Aviation Industry: A Review of Current and Future Trends
Elochukwu A. Ukwandu
M. B. Farah
Hanan Hindy
Miroslav Bures
Robert C. Atkinson
Christos Tachtatzis
X. Bellekens
24
62
0
10 Jul 2021
Understanding Internet of Things Malware by Analyzing Endpoints in their
  Static Artifacts
Understanding Internet of Things Malware by Analyzing Endpoints in their Static Artifacts
Afsah Anwar
Jinchun Choi
Abdulrahman Alabduljabbar
Hisham Alasmary
Jeffrey Spaulding
An Wang
Songqing Chen
Daehun Nyang
Amro Awad
David A. Mohaisen
11
11
0
26 Mar 2021
Improving DGA-Based Malicious Domain Classifiers for Malware Defense
  with Adversarial Machine Learning
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning
Ibrahim Yilmaz
Ambareen Siraj
D. Ulybyshev
AAML
21
14
0
02 Jan 2021
Exploiting Statistical and Structural Features for the Detection of
  Domain Generation Algorithms
Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms
Constantinos Patsakis
Fran Casino
14
14
0
12 Dec 2019
Encrypted and Covert DNS Queries for Botnets: Challenges and
  Countermeasures
Encrypted and Covert DNS Queries for Botnets: Challenges and Countermeasures
Constantinos Patsakis
Fran Casino
Vasilios Katos
11
33
0
16 Sep 2019
Hydras and IPFS: A Decentralised Playground for Malware
Hydras and IPFS: A Decentralised Playground for Malware
Constantinos Patsakis
Fran Casino
14
39
0
28 May 2019
MaskDGA: A Black-box Evasion Technique Against DGA Classifiers and
  Adversarial Defenses
MaskDGA: A Black-box Evasion Technique Against DGA Classifiers and Adversarial Defenses
Lior Sidi
Asaf Nadler
A. Shabtai
AAML
31
22
0
24 Feb 2019
Detecting DGA domains with recurrent neural networks and side
  information
Detecting DGA domains with recurrent neural networks and side information
Ryan R. Curtin
Andrew B. Gardner
Slawomir Grzonkowski
A. Kleymenov
Alejandro Mosquera
AAML
6
64
0
04 Oct 2018
Flow-based Network Traffic Generation using Generative Adversarial
  Networks
Flow-based Network Traffic Generation using Generative Adversarial Networks
Markus Ring
Daniel Schlor
Dieter Landes
Andreas Hotho
34
169
0
27 Sep 2018
A Survey on Malicious Domains Detection through DNS Data Analysis
A Survey on Malicious Domains Detection through DNS Data Analysis
Yury Zhauniarovich
Issa M. Khalil
Ting Yu
M. Dacier
9
154
0
22 May 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
185
302
0
21 May 2018
Learning to Evade Static PE Machine Learning Malware Models via
  Reinforcement Learning
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
Hyrum S. Anderson
Anant Kharkar
Bobby Filar
David Evans
P. Roth
AAML
38
207
0
26 Jan 2018
Killing Two Birds with One Stone: Malicious Domain Detection with High
  Accuracy and Coverage
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage
Issa M. Khalil
Bei Guan
Mohamed Nabeel
Ting Yu
11
5
0
01 Nov 2017
Adversary Resistant Deep Neural Networks with an Application to Malware
  Detection
Adversary Resistant Deep Neural Networks with an Application to Malware Detection
Qinglong Wang
Wenbo Guo
Kaixuan Zhang
Alexander Ororbia
Masashi Sugiyama
C. Lee Giles
Xue Liu
AAML
35
173
0
05 Oct 2016
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