https://github.com/fredtux/licenta_fmi_2024_dnsanomaly
Lucrare de licenta - 2024
https://github.com/fredtux/licenta_fmi_2024_dnsanomaly
ai anomaly-detection dns ml thesis thesis-project
Last synced: 6 days ago
JSON representation
Lucrare de licenta - 2024
- Host: GitHub
- URL: https://github.com/fredtux/licenta_fmi_2024_dnsanomaly
- Owner: fredtux
- Created: 2024-06-13T10:15:29.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-05T19:57:31.000Z (11 months ago)
- Last Synced: 2024-08-05T23:10:51.477Z (11 months ago)
- Topics: ai, anomaly-detection, dns, ml, thesis, thesis-project
- Language: Jupyter Notebook
- Homepage:
- Size: 3.11 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Bachelor's Thesis (Romanian language repo)
Daca folositi acest repo sau lucrarea de licenta, va rog sa citati folosind butonul de citare din interfata Github sau sa respectati instructiunile din fisierul [CITATION.cff](CITATION.cff)
___
# Detectia anomaliilor in traficul DNS
## Licenta FMI 2024 - Florin Silviu Dinu
### Dataset
Directorul **data** contine subdirectoare cu fisiere **README.md** pentru preluarea datasetului din sursele oficiale. Acesta nu poate fi incarcat ca atare intrucat nu detin drepturile, dar este mentionat cu referintele corespunzatoare in lucrare.
Lista dataseturilor folosite:
* Preia datasetul CICBellEXFDNS2021 de la: [https://www.unb.ca/cic/datasets/dns-exf-2021.html](https://www.unb.ca/cic/datasets/dns-exf-2021.html)
* Preia top 1.000.000 domenii de la: [https://www.crawlson.com/domains](https://www.crawlson.com/domains)
* Preia lista de SLD-uri de la: [https://github.com/gavingmiller/second-level-domains](https://github.com/gavingmiller/second-level-domains)
Pentru datasetul CICBellEXFDNS2021 trebuie mentionata si urmatoarea lucrare:
* Samaneh Mahdavifar, Amgad Hanafy Salem, Princy Victor, Miguel Garzon, Amir H. Razavi, Natasha Hellberg, Arash Habibi Lashkari, “Lightweight Hybrid Detection of Data Exfiltration using DNS based on Machine Learning”, The 11th IEEE International Conference on Communication and Network Security (ICCNS), Dec. 3-5, 2021, Beijing Jiaotong University, Weihai, China.
### Textul lucrarii
In sectiunea Releases: [https://github.com/fredtux/Licenta_FMI_2024_DNSAnomaly/releases/tag/v1.0](https://github.com/fredtux/Licenta_FMI_2024_DNSAnomaly/releases/tag/v1.0)
## Licenta
Acesta lucrare este licentiata sub [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/).
