Adversarial defense: DGA-based botnets and DNS homographs detection through integrated deep learning
V Ravi, M Alazab, S Srinivasan… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Cybercriminals use domain generation algorithms (DGAs) to prevent their servers from
being potentially blacklisted or shut down. Existing reverse engineering techniques for DGA …
being potentially blacklisted or shut down. Existing reverse engineering techniques for DGA …
A systematic review on research utilising artificial intelligence for open source intelligence (OSINT) applications
TO Browne, M Abedin, MJM Chowdhury - International Journal of …, 2024 - Springer
This paper presents a systematic review to identify research combining artificial intelligence
(AI) algorithms with Open source intelligence (OSINT) applications and practices. Currently …
(AI) algorithms with Open source intelligence (OSINT) applications and practices. Currently …
Deep learning framework for domain generation algorithms prediction using long short-term memory
S Akarsh, S Sriram, P Poornachandran… - 2019 5th …, 2019 - ieeexplore.ieee.org
Real-time prediction of domain names that are generated using the Domain Generation
Algorithms (DGAs) is a challenging cyber security task. Scope to collect the vast amount of …
Algorithms (DGAs) is a challenging cyber security task. Scope to collect the vast amount of …
Intercepting hail hydra: Real-time detection of algorithmically generated domains
A crucial technical challenge for cybercriminals is to keep control over the potentially
millions of infected devices that build up their botnets, without compromising the robustness …
millions of infected devices that build up their botnets, without compromising the robustness …
[PDF][PDF] A comprehensive tutorial and survey of applications of deep learning for cyber security
A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
Page 1 P osted on 5 Jan 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.11473377.v1 …
Page 1 P osted on 5 Jan 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.11473377.v1 …
Data Science in Cybersecurity to Detect Malware-Based Domain Generation Algorithm: Improvement, Challenges, and Prospects
M Hassaoui, M Hanini… - Journal of Computational …, 2022 - ojs.bonviewpress.com
Nowadays, the malware communicates with command and control servers using domains
generated algorithmically. Domain generation algorithms (DGAs) are continually evolving …
generated algorithmically. Domain generation algorithms (DGAs) are continually evolving …
Cost-Sensitive Long Short-Term Memory for Imbalanced DGA Family Categorization
R Mohammed Harun Babu, R Vinayakumar… - Advances in Electrical …, 2020 - Springer
Abstract Domain generation algorithm (DGA) is the foundation of malware families because
of the very fact that DGA generates huge variety of pseudorandom domain names to …
of the very fact that DGA generates huge variety of pseudorandom domain names to …