Advances in artificial intelligence for detecting algorithmically generated domains: Current trends and future prospects

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This comprehensive review navigates the complex domain of Domain Generation
Algorithms (DGAs) and their detection using Artificial Intelligence (AI), revealing both …

[HTML][HTML] Decoding developer password patterns: A comparative analysis of password extraction and selection practices

N Lykousas, C Patsakis - Computers & Security, 2024 - Elsevier
Passwords play a crucial role in authentication, ensuring that only authorised entities can
access sensitive information. However, user password choices are often weak and …

Detection of DGA-generated domain names with TF-IDF

H Vranken, H Alizadeh - Electronics, 2022 - mdpi.com
Botnets often apply domain name generation algorithms (DGAs) to evade detection by
generating large numbers of pseudo-random domain names of which only few are …

Detecting Domain Names Generated by DGAs With Low False Positives in Chinese Domain Names

H Lee, J Do Yoo, S Jeong, HK Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Attackers are known to utilize domain generation algorithms (DGAs) to generate domain
names for command and control (C&C) servers and facilitate the distribution of uniform …

STIOCS: Active learning-based semi-supervised training framework for IOC extraction

B Tang, X Li, J Wang, W Ge, Z Yu, T Lin - Computers and Electrical …, 2023 - Elsevier
Abstract Cyber Threat Intelligence (CTI) contains numerous Indicators of Compromise
(IOCs) and contextual information, crucial for understanding threat actors' behavior and …

Pepc: A deep parallel convolutional neural network model with pre-trained embeddings for dga detection

W Huang, Y Zong, Z Shi, L Wang… - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Discovering domain generation algorithms (DGAs) used to build command and control
(C&C) infrastructures of botnets is crucial for recognizing botnets. Recent studies in DGA …

Chronic disease diagnosis model based on convolutional neural network and ensemble learning method

H Zhou, PY Zhang, X Zou, J Liu, WJ Wang - Digital Health, 2023 - journals.sagepub.com
Introduction Chronic diseases have become one of the main causes of premature death all
around the world in recent years. The diagnosis of chronic diseases is time-consuming and …

AHDom: Algorithmically generated domain detection using attribute heterogeneous graph neural network

X Hu, D Li, M Li, G Cheng, R Li, H Wu - Computer Networks, 2024 - Elsevier
Many cyber-attacks use Algorithmically Generated Domain (AGD) names to establish
connections with command and control servers for subsequent attack behaviors. Identifying …

LLMs for Domain Generation Algorithm Detection

RL La O, CA Catania, T Parlanti - arXiv preprint arXiv:2411.03307, 2024 - arxiv.org
This work analyzes the use of large language models (LLMs) for detecting domain
generation algorithms (DGAs). We perform a detailed evaluation of two important …

WordDGA: Hybrid Knowledge-Based Word-Level Domain Names Against DGA Classifiers and Adversarial DGAs

S Selvaraj, R Panjanathan - Informatics, 2024 - search.proquest.com
Abstract A Domain Generation Algorithm (DGA) employs botnets to generate domain names
through a communication link between the C&C server and the bots. A DGA can generate …