From 1a368051ccd34044f6e609685e76773d0d9194a7 Mon Sep 17 00:00:00 2001 From: Bohdan Turkynevych Date: Sun, 17 Nov 2024 17:13:57 -0500 Subject: [PATCH] Update README.md --- README.md | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index b0a7ca017..e43f10402 100644 --- a/README.md +++ b/README.md @@ -232,20 +232,16 @@ I'm just going to leave links to them here for reference. [GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks](https://www.researchgate.net/publication/371729377_GlyphNet_Homoglyph_domains_dataset_and_detection_using_attention-based_Convolutional_Neural_Networks) -## Analysis +[Drupal and the Open Web in the Australian Government - 2022 edition](https://www.pixelite.co.nz/article/drupal-and-the-open-web-in-the-australian-government-2022/) + +## Useful resources [The Internet of Names: A DNS Big Dataset](https://conferences.sigcomm.org/sigcomm/2015/pdf/papers/p91.pdf) [Enabling Network Security Through Active DNS Datasets](https://www.researchgate.net/publication/307872671_Enabling_Network_Security_Through_Active_DNS_Datasets) - -## Re-registration and general statistics - [Analysis of the Internet Domain Names Re-registration Market](https://www.researchgate.net/publication/220307877_Analysis_of_the_Internet_Domain_Names_Re-registration_Market) - -## Lexical analysis of malicious domains - [Detection of malicious domains through lexical analysis](https://www.c-mric.com/wp-content/uploads/2018/06/Egon_Cybersecurity2018.pdf) [Malicious Domain Names Detection Algorithm Based on Lexical Analysis and Feature Quantification](https://www.researchgate.net/publication/335742562_Malicious_Domain_Names_Detection_Algorithm_Based_on_Lexical_Analysis_and_Feature_Quantification)