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DNS dataset for malicious domains detection

  • Published:2021-10 Issue: Volume:38 Page:107342
  • ISSN:2352-3409
  • Container-title:Data in Brief
  • language:en
  • Short-container-title:Data in Brief

Author:

Marques CláudioORCID,Malta SilvestreORCID,Magalhães João PauloORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference14 articles.

1. Rapid7 Labs, 2020, URL: https://opendata.rapid7.com/sonar.fdns_v2.

2. SANS Internet Storm Center, 2020, URL: http://web.archive.org/web/20200503151842/https://www.dshield.org/feeds/suspiciousdomains_Low.txt.

3. TI-2016 DNS dataset;Kaur,2019

4. Detection of fast-flux networks using various DNS feature sets;Berkay Celik,2013

5. Detecting algorithmically generated domain-flux attacks with DNS traffic analysis;Yadav;IEEE/ACM Trans. Netw.,2012

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3. Enhancing Security in Cloud Computing Using Artificial Intelligence ( AI );Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection;2024-03-22

4. Enhancing Malicious Domain Detection Using Advanced Machine Learning Techniques;2023 IEEE Pune Section International Conference (PuneCon);2023-12-14

5. Artificial intelligence for cybersecurity: Literature review and future research directions;Information Fusion;2023-09
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